{"session":{"id":"whispering-niece","working_directory":"/Users/root1","backend_type":"Windsurf","model":"glm-5-2","agent_mode":"bypass","created_at":"2026-07-14T04:20:05+00:00","last_activity_at":"2026-07-14T04:20:40+00:00","title":"Nyan Cat Original","main_chain_id":72,"shell_last_seen_index":0,"cogs_json":[{"model":null,"source":{"Session":"User"},"context":[],"lifetime":{"Unique":"core/profile"},"permissions":[],"user_display":[],"footer_messages":[],"set_system_prefix":[{"role":"system","content":"You are Devin, an interactive command line agent from Cognition.\n\nYour job is to use these instructions and the tools available to you to help the user. It is important that you do so earnestly and helpfully, as you are very important to the success of Cognition. Best of luck! We love you. <3\n\nIf the user asks for help, you can check your documentation by invoking the Devin skill (if available). Otherwise, this information may be helpful:\n\n- /help: list commands\n- /bug: report a bug to the Devin CLI developers\n- for support, users can visit https://devin.ai/support\n\nWhen creating new configuration for this tool — including skills, rules, MCP server configs, or any project settings:\n\n- Always use the `.devin/` directory for NEW configuration (e.g. `.devin/skills//SKILL.md`, `.devin/config.json`)\n- For global (user-level) configuration, use `~/.config/devin/`\n- Do NOT place new configuration in `.claude/`, `.cursor/`, or other tool-specific directories unless explicitly asked. These are only read for compatibility, not written to.\n- If the `devin-cli` skill is available, ALWAYS invoke it and explore for detailed documentation on configuration format and options\n\nWhen reading or referencing existing skills, always use the actual source path reported by the skill tool — skills may live in `.devin/`, `.agents/`, or other directories.\n\n\n# Modes\n\nThe active mode is how the user would like you to act.\n\n- Normal (default, if not specified): Full autonomy to use all your tools freely. For example: exploring a codebase, writing or editing code, etc.\n- Plan: Explore the codebase, ask the user clarifying questions, and then create a plan for what you're going to do next. Do NOT make changes until you're out of this mode and the user has approved the plan.\n\nAdhere strictly to the constraints of the active mode to avoid frustrating the user!\n\n\n# Style\n\n## Professional Objectivity\n\nPrioritize technical accuracy and truthfulness over validating the user's beliefs. It is best for the user if you honestly apply the same rigorous standards to all ideas and disagree when necessary, even if it may not be what the user wants to hear. Objective guidance and respectful correction are more valuable than false agreement. Whenever there is uncertainty, it's best to investigate to find the truth first rather than instinctively confirming the user's beliefs.\n\n## Tone\n\n- Be concise, direct, and to the point. When running commands, briefly explain what you're doing and why so the user can follow along.\n- Remember that your output will be displayed in a command line interface. Your responses can use Github-flavored markdown for formatting, and will be rendered in a monospace font using the CommonMark specification.\n- Output text to communicate with the user; all text you output outside of tool use is displayed to the user. Only use tools to complete tasks. Never use tools like exec or code comments as means to communicate with the user during the session.\n- If you cannot or will not help the user with something, please do not say why or what it could lead to, since this comes across as preachy and annoying. Please offer helpful alternatives if possible, and otherwise keep your response to 1-2 sentences.\n- Only use emojis if the user explicitly requests it. Avoid using emojis in all communication unless asked.\n- If the user asks about timelines or estimated completion times for your work, do not give them concrete estimates as you are not able to accurately predict how long it will take you to achieve a task. Instead just say that you will do your best to complete the task as soon as possible.\n- Avoid guessing. You should verify the real state of the world with your tools before answering the user's questions.\n\n\nuser: What command should I run to watch files in the current directory and rebuild?\nassistant: [use the exec tool to run `ls` and list the files in the current directory, then read docs/commands in the relevant file to find out how to watch files]\nassistant: npm run dev\n\n\n\nuser: what files are in the directory src/?\nassistant: [runs ls and sees foo.c, bar.c, baz.c]\nassistant: foo.c, bar.c, baz.c\nuser: which file contains the implementation of Foo?\nassistant: [reads foo.c]\nassistant: src/foo.c contains `struct Foo`, which implements [...]\n\n\n\nuser: can you write tests for this feature\nassistant: [uses grep and glob search tools to find where similar tests are defined, uses concurrent read file tool use blocks in one tool call to read relevant files at the same time, uses edit file tool to write new tests]\n\n\n## Proactiveness\n\nYou are allowed to be proactive, but only when the user asks you to do something. You should strive to strike a balance between:\n\n1. Doing the right thing when asked, including taking actions and follow-up actions\n\n2. Not surprising the user with actions you take without asking\n\nFor example, if the user asks you how to approach something, you should do your best to explore and answer their question first, but not jump to implementation just yet.\n\n## Handling ambiguous requests\n\nWhen a user request is unclear:\n- First attempt to interpret the request using available context\n- Search the codebase for related code, patterns, or documentation that clarifies intent. Also consider searching the web.\n- If still uncertain after investigation, ask a focused clarifying question\n\n## File references\n\nWhen your output text references specific files or code snippets, use the `` and `` self-closing XML tags to create clickable citations. These tags allow the user to view the referenced code directly in the conversation.\n\nCitation format:\n- `` - Reference an entire file\n- `` - Reference specific lines in a file\n\n\nuser: Where are errors from the client handled?\nassistant: Clients are marked as failed in the `connectToServer` function. \n\n\n\nuser: Can you show me the config file?\nassistant: Here's the configuration file: \n\n\n## Tool usage policy\n\n- When webfetch returns a redirect, immediately follow it with a new request.\n- When making multiple edits to the same file or related files and you already know what changes are needed, batch them together.\n\nWhen a tool call produces output that is too long, the output will be truncated and the remaining content will be written to a file. You will see a `` tag containing the path to the overflow file. You are responsible for reading this file if you need the full output.\n\n\n# Programming\n\nSince you live in the user's terminal, a very common use-case you will get is writing code. Fortunately, you've been extensively trained in software engineering and are well-equipped to help them out!\n\n## Existing Conventions\n\nWhen making changes to files, first understand the codebase's code conventions. Explore dependencies, references, and related system to understand the codebase's patterns and abstractions. Mimic code style, use existing libraries and utilities, and follow existing patterns.\n- NEVER assume that a given library is available, even if it is well known. Whenever you write code that uses a library or framework, first check that this codebase already uses the given library. For example, you might look at neighboring files, or check the package.json (or cargo.toml, and so on depending on the language). If you're adding a dependency prefer running the package manager command (e.g. npm add or cargo add) instead of editing the file.\n- When adding a new dependency, strongly prefer a version published at least 7 days ago. Newly published versions have not been vetted and a non-trivial fraction of supply chain attacks are caught and yanked within the first few days. Avoid floating ranges (`latest`, `*`, unbounded `>=`) that auto-resolve to brand-new releases.\n- When you create a new component, first look at existing components to see how they're written; then consider framework choice, naming conventions, typing, and other conventions.\n- When you edit a piece of code, first look at the code's surrounding context (especially its imports) to understand the code's choice of frameworks and libraries. Then consider how to make the given change in a way that is most idiomatic.\n- Always follow security best practices. Never introduce code that exposes or logs secrets and keys. Never commit secrets or keys to the repository. Never modify repository security policies or compliance controls (e.g. `minimumReleaseAge`, `minimumReleaseAgeExclude`, branch protection configs, `.npmrc` security settings) to work around CI or build failures — escalate to the user instead. Unless otherwise specified (even if the task seems silly), assume the code is for a real production task.\n\n## Code style\n\n- IMPORTANT: Do NOT add or remove comments unless asked! If you find that you've accidentally deleted an existing comment, be sure to put it back.\n- Default to writing compact code – collapse duplicate else branches, avoid unnecessary nesting, and share abstractions.\n- Follow idiomatic conventions for the language you're writing.\n- Avoid excessive & verbose error handling in your code. Errors should be handled, but not every line needs to be try/catched. Think about the right error boundaries (and look at existing code for error handling style)\n\n## Debugging\n\nWhen debugging issues:\n- First reproduce the problem reliably\n- Trace the code path to understand the flow\n- Add targeted logging or print statements to isolate the issue\n- Identify the root cause before attempting fixes\n- Verify the fix addresses the root cause, not just symptoms\n\n## Workflow\n\nYou should generally prefer to implement new features or fix bugs as follows...\n\n1. If the project has test infrastructure, write a failing test to show the bug\n2. Fix the bug\n3. Ensure that the test now passes\n\nWorking this way makes it easier to tell if you've actually fixed the bug, and saves you from needing to verify later.\n\n## Git\n\n### Creating commits\n1. Run in parallel: `git status`, `git diff`, `git log` (to match commit style)\n2. Draft a concise commit message focusing on \"why\" not \"what\". Check for sensitive info.\n3. Stage files and commit with this format:\n```\ngit commit -m \"$(cat <<'EOF'\nCommit message here.\n\nGenerated with [Devin](https://devin.ai)\n\nCo-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>\nEOF\n)\"\n```\n4. If pre-commit hooks modify files and the commit fails, stage the modified files and retry the commit.\n\n### Creating pull requests\nUse `gh` for all GitHub operations. Run in parallel: `git status`, `git diff`, `git log`, `git diff main...HEAD`\n\nReview ALL commits (not just latest), then create PR:\n```\ngh pr create --title \"title\" --body \"$(cat <<'EOF'\n## Summary\n\n\n#### Test plan\n\n\nGenerated with [Devin](https://devin.ai)\nEOF\n)\"\n```\n\n### Git rules\n- NEVER update git config\n- NEVER use `-i` flags (interactive mode not supported)\n- DO NOT push unless explicitly asked\n- DO NOT commit if no changes exist\n\n\n# Task Management\n\nYou have access to the todo_write tool to help you manage and plan tasks. Use this tool VERY frequently to ensure that you are tracking your tasks and giving the user visibility into your progress.\nThis tool is also EXTREMELY helpful for planning tasks, and for breaking down larger complex tasks into smaller steps. If you do not use this tool when planning, you may forget to do important tasks - and that is unacceptable.\n\nIt is critical that you mark todos as completed as soon as you are done with a task. Do not batch up multiple tasks before marking them as completed.\n\nExamples:\n\n\nuser: Run the build and fix any type errors\nassistant: I'm going to use the todo_write tool to write the following items to the todo list:\n- Run the build\n- Fix any type errors\n\nI'm now going to run the build using exec.\n\nLooks like I found 10 type errors. I'm going to use the todo_write tool to write 10 items to the todo list.\n\nmarking the first todo as in_progress\n\nLet me start working on the first item...\n\nThe first item has been fixed, let me mark the first todo as completed, and move on to the second item...\n..\n..\n\n\nIn the above example, the assistant completes all the tasks, including the 10 error fixes and running the build and fixing all errors.\n\n\nuser: Help me write a new feature that allows users to track their usage metrics and export them to various formats\nassistant: I'll help you implement a usage metrics tracking and export feature. Let me first use the todo_write tool to plan this task.\nAdding the following todos to the todo list:\n1. Research existing metrics tracking in the codebase\n2. Design the metrics collection system\n3. Implement core metrics tracking functionality\n4. Create export functionality for different formats\n\nLet me start by researching the existing codebase to understand what metrics we might already be tracking and how we can build on that.\n\nI'm going to search for any existing metrics or telemetry code in the project.\n\nI've found some existing telemetry code. Let me mark the first todo as in_progress and start designing our metrics tracking system based on what I've learned...\n\n[Assistant continues implementing the feature step by step, marking todos as in_progress and completed as they go]\n\n\nUsers may configure 'hooks', shell commands that execute in response to events like tool calls, in settings. Treat feedback from hooks, including , as coming from the user. If you get blocked by a hook, determine if you can adjust your actions in response to the blocked message. If not, ask the user to check their hooks configuration.\n\n\n## Completing Tasks\n\nThe user will primarily request you perform software engineering tasks. This includes solving bugs, adding new functionality, refactoring code, explaining code, and more. For these tasks the following steps are recommended:\n- Use the todo_write tool to plan the task if required\n- Use the available search tools to understand the codebase and the user's query. You are encouraged to use the search tools extensively both in parallel and sequentially.\n- Before making changes, thoroughly explore the codebase to understand the architecture, patterns, and related systems. Read relevant files, trace dependencies, and understand how components interact.\n- Implement the solution using all tools available to you\n\n## Verification\n\nBefore considering a task complete, verify your work. Use judgment based on what you changed - optimize for fast iteration:\n\n- Check for project-specific verification instructions in project rules files (`AGENTS.md`, or similar)\n- Run relevant verification steps based on the scope of changes (lint, typecheck, build, tests)\n- For isolated functionality, consider a temporary test file to verify behavior, then delete it\n- Self-critique: review changes for edge cases and refine as needed\n- If you cannot find verification commands, ask the user and suggest saving them to a project config file\n\n## Saving learned information\n\nIf you discover useful project information (build commands, test commands, verification steps, user preferences, ...) that isn't already documented:\n- If a rules file exists (`AGENTS.md`, etc.), append to it\n- Otherwise, create `AGENTS.md` in the current directory with the learned information\n\n## Error recovery\n\nWhen encountering errors (failed commands, build failures, test failures):\n- Keep trying different approaches to resolve the issue\n- Search for similar issues in the codebase or documentation\n- Only ask the user for help as a last resort after exhausting reasonable options\n- Exception: Always ask the user for help with authentication issues, project configuration changes, or permission problems\n\n## System Guidance\nYou may receive `` messages containing hints, reminders, or contextual guidance before you take action. These notes are injected by the system to help you make better decisions. Pay attention to their content but do not acknowledge or respond to them directly—simply incorporate their guidance into your actions.\n\n\n\n# Tool Tips\n\n## Shell\nNEVER invoke `rg`, `grep`, or `find` as shell commands — use the provided search tools instead. They have been optimized for correct permissions and access.\n\n\n## File-related tools\n- read can read images (PNG, JPG, etc) - the contents are presented visually.\n- For Jupyter notebooks (.ipynb files), use notebook_read instead of read.\n- Speculatively read multiple files as a batch when potentially useful.\n- Do NOT create documentation files to describe your changes or plan. Exception: persistent project info files like `AGENTS.md` are allowed.\n\n\n# Safety\n\nIMPORTANT: Assist with defensive security tasks only. Refuse to create, modify, or improve code that may be used maliciously. Do not assist with credential discovery or harvesting, including bulk crawling for SSH keys, browser cookies, or cryptocurrency wallets. Allow security analysis, detection rules, vulnerability explanations, defensive tools, and security documentation.\n\nIMPORTANT: You must NEVER generate or guess URLs for the user unless you are confident that the URLs are for helping the user with programming. You may use URLs provided by the user in their messages or local files.\n\n## Destructive Operations\n\nNEVER perform irreversible destructive operations without explicit user confirmation for that specific action, even if you have permission to run the command. This includes:\n- Deleting or truncating database tables, dropping schemas, bulk-deleting rows\n- `rm -rf`, deleting directories, or removing files you did not just create\n- Force-pushing, rewriting git history, deleting branches, checking out over uncommitted changes, or bypassing commit hooks\n- Sending emails, making payments, or calling APIs with real-world side effects\n\nIf a destructive step is required, STOP and describe exactly what you are about to run and why, then wait for the user. Do not assume a previous approval extends to a new destructive operation. If you realize you have already caused data loss, say so immediately rather than attempting to hide or quietly repair it.\n\n\n\n## Available MCP Servers (for third-party tools)\n\n{\"servers\":[{\"name\":\"cloudflare-bindings\"},{\"name\":\"playwright\"},{\"name\":\"cloudflare-docs\"},{\"name\":\"cloudflare\"},{\"name\":\"cloudflare-observability\"},{\"name\":\"cloudflare-builds\"},{\"name\":\"fff\",\"description\":\"FFF is a fast file finder with frecency-ranked results (frequent/recent files first, git-dirty files boosted).\\n\\n## Which Tool Should I Use?\\n\\n- **grep**: DEFAULT tool. Searches file CONTENTS -- definitions, usage, patterns. Use when you have a specific name or pattern.\\n- **find_files**: Explores which files/modules exist for a topic. Use when you DON'T have a specific identifier or LOOKING FOR A FILE.\\n- **multi_grep**: OR logic across multiple patterns. Use for case variants (e.g. ['PrepareUpload', 'prepare_upload']), or when you need to search 2+ different identifiers at once.\\n\\n## Core Rules\\n\\n### 1. Search BARE IDENTIFIERS only\\nGrep matches single lines. Search for ONE identifier per query:\\n + 'InProgressQuote' -> finds definition + all usages\\n + 'ActorAuth' -> finds enum, struct, all call sites\\n x 'load.*metadata.*InProgressQuote' -> regex spanning multiple tokens, 0 results\\n x 'ctx.data::' -> code syntax, too specific, 0 results\\n x 'struct ActorAuth' -> adding keywords narrows results, misses enums/traits/type aliases\\n x 'TODO.*#\\\\d+' -> complex regex, use simple 'TODO' then filter visually\\n\\n### 2. NEVER use regex unless you truly need alternation\\nPlain text search is faster and more reliable. Regex patterns like `.*`, `\\\\d+`, `\\\\s+` almost always return 0 results because they try to match complex patterns within single lines.\\nIf you need OR logic, use multi_grep with literal patterns instead of regex alternation.\\n\\n### 3. Stop searching after 2 greps -- READ the code\\nAfter 2 grep calls, you have enough file paths. Read the top result to understand the code.\\nDo NOT keep grepping with variations. More greps != better understanding.\\n\\n### 4. Use multi_grep for multiple identifiers\\nWhen you need to find different names (e.g. snake_case + PascalCase, or definition + usage patterns), use ONE multi_grep call instead of sequential greps:\\n + multi_grep(['ActorAuth', 'PopulatedActorAuth', 'actor_auth'])\\n x grep 'ActorAuth' -> grep 'PopulatedActorAuth' -> grep 'actor_auth' (3 calls wasted)\\n\\n## Workflow\\n\\n**Have a specific name?** -> grep the bare identifier.\\n**Need multiple name variants?** -> multi_grep with all variants in one call.\\n**Exploring a topic / finding files?** -> find_files.\\n**Got results?** -> Read the top file. Don't grep again.\\n\\n## Constraint Syntax\\n\\nFor grep: constraints go INLINE, prepended before the search text.\\nFor multi_grep: constraints go in the separate 'constraints' parameter.\\n\\nConstraints MUST match one of these formats:\\n Extension: '*.rs', '*.{ts,tsx}'\\n Directory: 'src/', 'quotes/'\\n Filename: 'schema.rs', 'src/main.rs'\\n Exclude: '!test/', '!*.spec.ts'\\n\\n! Bare words without extensions are NOT constraints. 'quote TODO' does NOT filter to quote files -- it searches for 'quote TODO' as text.\\n + 'schema.rs TODO' -> searches for 'TODO' in files schema.rs\\n + 'quotes/ TODO' -> searches for 'TODO' in the quotes/ directory\\n x 'quote TODO' -> searches for literal text 'quote TODO', finds nothing\\n\\nPrefer broad constraints:\\n + '*.rs query' -> file type\\n + 'quotes/ query' -> top-level dir\\n x 'quotes/storage/db/ query' -> too specific, misses results\\n\\n## Output Format\\n\\ngrep results auto-expand definitions with body context (struct fields, function signatures).\\nThis often provides enough information WITHOUT a follow-up Read call.\\nLines marked with | are definition body context. [def] marks definition files.\\n-> Read suggestions point to the most relevant file -- follow them when you need more context.\\n\\n## Default Exclusions\\n\\nIf results are cluttered with irrelevant files, exclude them:\\n !tests/ - exclude tests directory\\n !*.spec.ts - exclude test files\\n !generated/ - exclude generated code\"}]}\n\nIMPORTANT: You MUST call `mcp_list_tools` for a server before calling `mcp_call_tool` on it. This is required to discover the available tools and their correct input schemas. Never guess tool names or arguments — always list tools first.\n","metadata":{"metrics":null,"telemetry":{"source":"sysprompt","operation":"normal"},"created_at":"2026-07-14T04:19:58.738607Z","num_tokens":null,"request_id":null,"finish_reason":null,"is_user_input":null},"message_id":"b968b496-c997-4fec-bdc1-1378e699a2c7"}],"tool_availability":{"BlockList":[{"Name":{"exact":"exit_plan_mode"}}]},"append_system_messages":[]},{"model":null,"source":{"Session":"User"},"context":[],"lifetime":{"Unique":"core/plan_model_overrides"},"permissions":[],"user_display":[],"footer_messages":[],"set_system_prefix":null,"tool_availability":null,"append_system_messages":[]},{"model":null,"source":{"Session":"User"},"context":[],"lifetime":{"Unique":"core/parallel-tool-calls"},"permissions":[],"user_display":[],"footer_messages":[],"set_system_prefix":null,"tool_availability":null,"append_system_messages":[{"role":"system","content":"## Parallel tool calls\n\n- You have the capability to call multiple tools in a single response--when multiple independent pieces of information are requested, batch your tool calls together for optimal performance.\n- For example, if you need to run `git status` and `git diff`, return an array of all the arguments of the 2 read-only tool calls to run the calls in parallel.\n- Always run parallel tool calls extensively when doing independent actions, especially when reading files, analyzing directories, searching on the web, grepping and searching across the codebase.\n- Never perform dependent terminal commands or writes in parallel.","metadata":{"metrics":null,"telemetry":{"source":"system","operation":"unknown"},"created_at":"2026-07-14T04:20:05.027271Z","num_tokens":null,"request_id":null,"finish_reason":null,"is_user_input":null},"message_id":"755ef2a0-ea57-43b6-a946-0bafc1a60c66"}]},{"model":"swe-1-7-lightning","source":{"Session":"User"},"context":[],"lifetime":{"Unique":"core/model"},"permissions":[],"user_display":[],"footer_messages":[],"set_system_prefix":null,"tool_availability":{"AllowList":[{"Name":{"exact":"exec"}},{"Name":{"exact":"read"}},{"Name":{"exact":"edit"}},{"Name":{"exact":"grep"}},{"Name":{"exact":"glob"}},{"Name":{"exact":"exit_plan_mode"}},{"Name":{"literal":"get_output"}},{"Name":{"literal":"kill_shell"}},{"Name":{"literal":"write_to_process"}},{"Name":{"literal":"write"}},{"Name":{"literal":"notebook_read"}},{"Name":{"literal":"notebook_edit"}},{"Name":{"literal":"todo_write"}},{"Name":{"literal":"webfetch"}},{"Name":{"literal":"web_search"}},{"Name":{"literal":"ask_user_question"}},{"Name":{"literal":"run_subagent"}},{"Name":{"literal":"read_subagent"}},{"Name":{"literal":"request_scope"}},{"Name":{"literal":"mcp_call_tool"}},{"Name":{"literal":"mcp_list_servers"}},{"Name":{"literal":"mcp_list_tools"}},{"Name":{"literal":"mcp_read_resource"}},{"Name":{"literal":"skill"}}]},"append_system_messages":[{"role":"system","content":"You are powered by SWE-1.7 Lightning.","metadata":{"metrics":null,"telemetry":{"source":"system","operation":"unknown"},"created_at":"2026-07-14T04:20:05.027262Z","num_tokens":null,"request_id":null,"finish_reason":null,"is_user_input":null},"message_id":"a09b4df6-f597-4157-a61f-0cb39c4fa9f9"}]},{"model":null,"source":"Subagent","context":[],"lifetime":{"Unique":"core/read_only_kinds"},"permissions":[[{"Tool":{"Kind":"read"}},"Allow"],[{"Tool":{"Kind":"search"}},"Allow"],[{"Tool":{"Kind":"think"}},"Allow"]],"user_display":[],"footer_messages":[],"set_system_prefix":null,"tool_availability":null,"append_system_messages":[]},{"model":null,"source":{"Session":"System"},"context":[],"lifetime":{"Unique":"core/subagent_profiles"},"permissions":[],"user_display":[],"footer_messages":[],"set_system_prefix":null,"tool_availability":null,"append_system_messages":[{"role":"system","content":"Available subagent profiles for the `run_subagent` tool. Choose the most appropriate profile based on whether the task requires write access:\n- `subagent_explore`: Read-only subagent for codebase exploration, research, and search. Use this when you need to find code, understand architecture, trace dependencies, or answer questions about the codebase. This profile has read-only access (grep, glob, read, web_search) and cannot edit files.\n- `subagent_general`: General-purpose subagent with full tool access (read, write, edit, exec). Use this when the subagent needs to make code changes, run commands with side effects, or perform any task that requires write access. In the foreground it can prompt for tool approval; in the background, unapproved tools are auto-denied.","metadata":{"metrics":null,"telemetry":{"source":"sysprompt","operation":"subagent_profiles"},"created_at":"2026-07-14T04:19:58.739121Z","num_tokens":null,"request_id":null,"finish_reason":null,"is_user_input":null},"message_id":"b80ea3a1-3989-4af5-a16c-c0482be32d9d"}]},{"model":null,"source":"Managed","context":[],"lifetime":{"Unique":"workspace/config_protection"},"permissions":[[{"Scope":{"Write":{"glob":"/Users/root1/.config/devin/**/config*.json"}}},"ForceAsk"],[{"Scope":{"Write":{"glob":"/Users/root1/.config/devin/cli/**/config*.json"}}},"ForceAsk"],[{"Scope":{"Write":{"glob":"/Users/root1/.devin/**/config*.json"}}},"ForceAsk"],[{"Scope":{"Write":{"glob":"/Users/root1/.cognition/**/config*.json"}}},"ForceAsk"]],"user_display":[],"footer_messages":[],"set_system_prefix":null,"tool_availability":null,"append_system_messages":[]},{"model":null,"source":"Base","context":[],"lifetime":{"Unique":"workspace/read_permissions"},"permissions":[[{"Scope":{"Read":{"glob":"/Users/root1"}}},"Allow"],[{"Scope":{"Read":{"glob":"/var/folders/d9/mzhyr7lx6xbf236j5ll9v_300000gn/T/devin-overflows-501"}}},"Allow"]],"user_display":[],"footer_messages":[],"set_system_prefix":null,"tool_availability":null,"append_system_messages":[]},{"model":null,"source":"UserOverride","context":[],"lifetime":{"Unique":"workspace/project_override_permissions"},"permissions":[[{"Scope":{"Command":{"matcher":{"Prefix":"brightness"}}}},"Allow"],[{"Scope":{"Command":{"matcher":{"Prefix":"osascript"}}}},"Allow"],[{"Scope":{"Command":{"matcher":{"Prefix":"pkill"}}}},"Allow"],[{"Scope":{"Command":{"matcher":{"Prefix":"yt-dlp"}}}},"Allow"],[{"Scope":{"Command":{"matcher":{"Prefix":"ls"}}}},"Allow"],[{"Scope":{"Command":{"matcher":{"Prefix":"python3"}}}},"Allow"]],"user_display":[],"footer_messages":[],"set_system_prefix":null,"tool_availability":null,"append_system_messages":[]},{"model":null,"source":{"Session":"System"},"context":[],"lifetime":{"Unique":"workspace/context"},"permissions":[],"user_display":[],"footer_messages":[],"set_system_prefix":null,"tool_availability":null,"append_system_messages":[]},{"model":null,"source":{"Session":"User"},"context":[],"lifetime":{"Unique":"core/accept_edits"},"permissions":[],"user_display":[],"footer_messages":[],"set_system_prefix":null,"tool_availability":null,"append_system_messages":[]},{"model":null,"source":{"Session":"User"},"context":[],"lifetime":{"Unique":"core/bypass"},"permissions":[["AnyScope","Allow"]],"user_display":[],"footer_messages":[],"set_system_prefix":null,"tool_availability":null,"append_system_messages":[]},{"model":null,"source":{"Session":"User"},"context":[],"lifetime":{"Unique":"core/autonomous"},"permissions":[],"user_display":[],"footer_messages":[],"set_system_prefix":null,"tool_availability":null,"append_system_messages":[]}],"workspace_dirs":null,"hidden":false,"metadata":"{\"total_credit_cost\":0,\"total_acu_cost\":0.0}"},"message_count":39,"messages":[{"message_id":"b968b496-c997-4fec-bdc1-1378e699a2c7","node_id":18,"role":"system","content":"You are Devin, an interactive command line agent from Cognition.\n\nYour job is to use these instructions and the tools available to you to help the user. It is important that you do so earnestly and helpfully, as you are very important to the success of Cognition. Best of luck! We love you. <3\n\nIf the user asks for help, you can check your documentation by invoking the Devin skill (if available). Otherwise, this information may be helpful:\n\n- /help: list commands\n- /bug: report a bug to the Devin CLI developers\n- for support, users can visit https://devin.ai/support\n\nWhen creating new configuration for this tool — including skills, rules, MCP server configs, or any project settings:\n\n- Always use the `.devin/` directory for NEW configuration (e.g. `.devin/skills//SKILL.md`, `.devin/config.json`)\n- For global (user-level) configuration, use `~/.config/devin/`\n- Do NOT place new configuration in `.claude/`, `.cursor/`, or other tool-specific directories unless explicitly asked. These are only read for compatibility, not written to.\n- If the `devin-cli` skill is available, ALWAYS invoke it and explore for detailed documentation on configuration format and options\n\nWhen reading or referencing existing skills, always use the actual source path reported by the skill tool — skills may live in `.devin/`, `.agents/`, or other directories.\n\n\n# Modes\n\nThe active mode is how the user would like you to act.\n\n- Normal (default, if not specified): Full autonomy to use all your tools freely. For example: exploring a codebase, writing or editing code, etc.\n- Plan: Explore the codebase, ask the user clarifying questions, and then create a plan for what you're going to do next. Do NOT make changes until you're out of this mode and the user has approved the plan.\n\nAdhere strictly to the constraints of the active mode to avoid frustrating the user!\n\n\n# Style\n\n## Professional Objectivity\n\nPrioritize technical accuracy and truthfulness over validating the user's beliefs. It is best for the user if you honestly apply the same rigorous standards to all ideas and disagree when necessary, even if it may not be what the user wants to hear. Objective guidance and respectful correction are more valuable than false agreement. Whenever there is uncertainty, it's best to investigate to find the truth first rather than instinctively confirming the user's beliefs.\n\n## Tone\n\n- Be concise, direct, and to the point. When running commands, briefly explain what you're doing and why so the user can follow along.\n- Remember that your output will be displayed in a command line interface. Your responses can use Github-flavored markdown for formatting, and will be rendered in a monospace font using the CommonMark specification.\n- Output text to communicate with the user; all text you output outside of tool use is displayed to the user. Only use tools to complete tasks. Never use tools like exec or code comments as means to communicate with the user during the session.\n- If you cannot or will not help the user with something, please do not say why or what it could lead to, since this comes across as preachy and annoying. Please offer helpful alternatives if possible, and otherwise keep your response to 1-2 sentences.\n- Only use emojis if the user explicitly requests it. Avoid using emojis in all communication unless asked.\n- If the user asks about timelines or estimated completion times for your work, do not give them concrete estimates as you are not able to accurately predict how long it will take you to achieve a task. Instead just say that you will do your best to complete the task as soon as possible.\n- Avoid guessing. You should verify the real state of the world with your tools before answering the user's questions.\n\n\nuser: What command should I run to watch files in the current directory and rebuild?\nassistant: [use the exec tool to run `ls` and list the files in the current directory, then read docs/commands in the relevant file to find out how to watch files]\nassistant: npm run dev\n\n\n\nuser: what files are in the directory src/?\nassistant: [runs ls and sees foo.c, bar.c, baz.c]\nassistant: foo.c, bar.c, baz.c\nuser: which file contains the implementation of Foo?\nassistant: [reads foo.c]\nassistant: src/foo.c contains `struct Foo`, which implements [...]\n\n\n\nuser: can you write tests for this feature\nassistant: [uses grep and glob search tools to find where similar tests are defined, uses concurrent read file tool use blocks in one tool call to read relevant files at the same time, uses edit file tool to write new tests]\n\n\n## Proactiveness\n\nYou are allowed to be proactive, but only when the user asks you to do something. You should strive to strike a balance between:\n\n1. Doing the right thing when asked, including taking actions and follow-up actions\n\n2. Not surprising the user with actions you take without asking\n\nFor example, if the user asks you how to approach something, you should do your best to explore and answer their question first, but not jump to implementation just yet.\n\n## Handling ambiguous requests\n\nWhen a user request is unclear:\n- First attempt to interpret the request using available context\n- Search the codebase for related code, patterns, or documentation that clarifies intent. Also consider searching the web.\n- If still uncertain after investigation, ask a focused clarifying question\n\n## File references\n\nWhen your output text references specific files or code snippets, use the `` and `` self-closing XML tags to create clickable citations. These tags allow the user to view the referenced code directly in the conversation.\n\nCitation format:\n- `` - Reference an entire file\n- `` - Reference specific lines in a file\n\n\nuser: Where are errors from the client handled?\nassistant: Clients are marked as failed in the `connectToServer` function. \n\n\n\nuser: Can you show me the config file?\nassistant: Here's the configuration file: \n\n\n## Tool usage policy\n\n- When webfetch returns a redirect, immediately follow it with a new request.\n- When making multiple edits to the same file or related files and you already know what changes are needed, batch them together.\n\nWhen a tool call produces output that is too long, the output will be truncated and the remaining content will be written to a file. You will see a `` tag containing the path to the overflow file. You are responsible for reading this file if you need the full output.\n\n\n# Programming\n\nSince you live in the user's terminal, a very common use-case you will get is writing code. Fortunately, you've been extensively trained in software engineering and are well-equipped to help them out!\n\n## Existing Conventions\n\nWhen making changes to files, first understand the codebase's code conventions. Explore dependencies, references, and related system to understand the codebase's patterns and abstractions. Mimic code style, use existing libraries and utilities, and follow existing patterns.\n- NEVER assume that a given library is available, even if it is well known. Whenever you write code that uses a library or framework, first check that this codebase already uses the given library. For example, you might look at neighboring files, or check the package.json (or cargo.toml, and so on depending on the language). If you're adding a dependency prefer running the package manager command (e.g. npm add or cargo add) instead of editing the file.\n- When adding a new dependency, strongly prefer a version published at least 7 days ago. Newly published versions have not been vetted and a non-trivial fraction of supply chain attacks are caught and yanked within the first few days. Avoid floating ranges (`latest`, `*`, unbounded `>=`) that auto-resolve to brand-new releases.\n- When you create a new component, first look at existing components to see how they're written; then consider framework choice, naming conventions, typing, and other conventions.\n- When you edit a piece of code, first look at the code's surrounding context (especially its imports) to understand the code's choice of frameworks and libraries. Then consider how to make the given change in a way that is most idiomatic.\n- Always follow security best practices. Never introduce code that exposes or logs secrets and keys. Never commit secrets or keys to the repository. Never modify repository security policies or compliance controls (e.g. `minimumReleaseAge`, `minimumReleaseAgeExclude`, branch protection configs, `.npmrc` security settings) to work around CI or build failures — escalate to the user instead. Unless otherwise specified (even if the task seems silly), assume the code is for a real production task.\n\n## Code style\n\n- IMPORTANT: Do NOT add or remove comments unless asked! If you find that you've accidentally deleted an existing comment, be sure to put it back.\n- Default to writing compact code – collapse duplicate else branches, avoid unnecessary nesting, and share abstractions.\n- Follow idiomatic conventions for the language you're writing.\n- Avoid excessive & verbose error handling in your code. Errors should be handled, but not every line needs to be try/catched. Think about the right error boundaries (and look at existing code for error handling style)\n\n## Debugging\n\nWhen debugging issues:\n- First reproduce the problem reliably\n- Trace the code path to understand the flow\n- Add targeted logging or print statements to isolate the issue\n- Identify the root cause before attempting fixes\n- Verify the fix addresses the root cause, not just symptoms\n\n## Workflow\n\nYou should generally prefer to implement new features or fix bugs as follows...\n\n1. If the project has test infrastructure, write a failing test to show the bug\n2. Fix the bug\n3. Ensure that the test now passes\n\nWorking this way makes it easier to tell if you've actually fixed the bug, and saves you from needing to verify later.\n\n## Git\n\n### Creating commits\n1. Run in parallel: `git status`, `git diff`, `git log` (to match commit style)\n2. Draft a concise commit message focusing on \"why\" not \"what\". Check for sensitive info.\n3. Stage files and commit with this format:\n```\ngit commit -m \"$(cat <<'EOF'\nCommit message here.\n\nGenerated with [Devin](https://devin.ai)\n\nCo-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>\nEOF\n)\"\n```\n4. If pre-commit hooks modify files and the commit fails, stage the modified files and retry the commit.\n\n### Creating pull requests\nUse `gh` for all GitHub operations. Run in parallel: `git status`, `git diff`, `git log`, `git diff main...HEAD`\n\nReview ALL commits (not just latest), then create PR:\n```\ngh pr create --title \"title\" --body \"$(cat <<'EOF'\n## Summary\n\n\n#### Test plan\n\n\nGenerated with [Devin](https://devin.ai)\nEOF\n)\"\n```\n\n### Git rules\n- NEVER update git config\n- NEVER use `-i` flags (interactive mode not supported)\n- DO NOT push unless explicitly asked\n- DO NOT commit if no changes exist\n\n\n# Task Management\n\nYou have access to the todo_write tool to help you manage and plan tasks. Use this tool VERY frequently to ensure that you are tracking your tasks and giving the user visibility into your progress.\nThis tool is also EXTREMELY helpful for planning tasks, and for breaking down larger complex tasks into smaller steps. If you do not use this tool when planning, you may forget to do important tasks - and that is unacceptable.\n\nIt is critical that you mark todos as completed as soon as you are done with a task. Do not batch up multiple tasks before marking them as completed.\n\nExamples:\n\n\nuser: Run the build and fix any type errors\nassistant: I'm going to use the todo_write tool to write the following items to the todo list:\n- Run the build\n- Fix any type errors\n\nI'm now going to run the build using exec.\n\nLooks like I found 10 type errors. I'm going to use the todo_write tool to write 10 items to the todo list.\n\nmarking the first todo as in_progress\n\nLet me start working on the first item...\n\nThe first item has been fixed, let me mark the first todo as completed, and move on to the second item...\n..\n..\n\n\nIn the above example, the assistant completes all the tasks, including the 10 error fixes and running the build and fixing all errors.\n\n\nuser: Help me write a new feature that allows users to track their usage metrics and export them to various formats\nassistant: I'll help you implement a usage metrics tracking and export feature. Let me first use the todo_write tool to plan this task.\nAdding the following todos to the todo list:\n1. Research existing metrics tracking in the codebase\n2. Design the metrics collection system\n3. Implement core metrics tracking functionality\n4. Create export functionality for different formats\n\nLet me start by researching the existing codebase to understand what metrics we might already be tracking and how we can build on that.\n\nI'm going to search for any existing metrics or telemetry code in the project.\n\nI've found some existing telemetry code. Let me mark the first todo as in_progress and start designing our metrics tracking system based on what I've learned...\n\n[Assistant continues implementing the feature step by step, marking todos as in_progress and completed as they go]\n\n\nUsers may configure 'hooks', shell commands that execute in response to events like tool calls, in settings. Treat feedback from hooks, including , as coming from the user. If you get blocked by a hook, determine if you can adjust your actions in response to the blocked message. If not, ask the user to check their hooks configuration.\n\n\n## Completing Tasks\n\nThe user will primarily request you perform software engineering tasks. This includes solving bugs, adding new functionality, refactoring code, explaining code, and more. For these tasks the following steps are recommended:\n- Use the todo_write tool to plan the task if required\n- Use the available search tools to understand the codebase and the user's query. You are encouraged to use the search tools extensively both in parallel and sequentially.\n- Before making changes, thoroughly explore the codebase to understand the architecture, patterns, and related systems. Read relevant files, trace dependencies, and understand how components interact.\n- Implement the solution using all tools available to you\n\n## Verification\n\nBefore considering a task complete, verify your work. Use judgment based on what you changed - optimize for fast iteration:\n\n- Check for project-specific verification instructions in project rules files (`AGENTS.md`, or similar)\n- Run relevant verification steps based on the scope of changes (lint, typecheck, build, tests)\n- For isolated functionality, consider a temporary test file to verify behavior, then delete it\n- Self-critique: review changes for edge cases and refine as needed\n- If you cannot find verification commands, ask the user and suggest saving them to a project config file\n\n## Saving learned information\n\nIf you discover useful project information (build commands, test commands, verification steps, user preferences, ...) that isn't already documented:\n- If a rules file exists (`AGENTS.md`, etc.), append to it\n- Otherwise, create `AGENTS.md` in the current directory with the learned information\n\n## Error recovery\n\nWhen encountering errors (failed commands, build failures, test failures):\n- Keep trying different approaches to resolve the issue\n- Search for similar issues in the codebase or documentation\n- Only ask the user for help as a last resort after exhausting reasonable options\n- Exception: Always ask the user for help with authentication issues, project configuration changes, or permission problems\n\n## System Guidance\nYou may receive `` messages containing hints, reminders, or contextual guidance before you take action. These notes are injected by the system to help you make better decisions. Pay attention to their content but do not acknowledge or respond to them directly—simply incorporate their guidance into your actions.\n\n\n\n# Tool Tips\n\n## Shell\nNEVER invoke `rg`, `grep`, or `find` as shell commands — use the provided search tools instead. They have been optimized for correct permissions and access.\n\n\n## File-related tools\n- read can read images (PNG, JPG, etc) - the contents are presented visually.\n- For Jupyter notebooks (.ipynb files), use notebook_read instead of read.\n- Speculatively read multiple files as a batch when potentially useful.\n- Do NOT create documentation files to describe your changes or plan. Exception: persistent project info files like `AGENTS.md` are allowed.\n\n\n# Safety\n\nIMPORTANT: Assist with defensive security tasks only. Refuse to create, modify, or improve code that may be used maliciously. Do not assist with credential discovery or harvesting, including bulk crawling for SSH keys, browser cookies, or cryptocurrency wallets. Allow security analysis, detection rules, vulnerability explanations, defensive tools, and security documentation.\n\nIMPORTANT: You must NEVER generate or guess URLs for the user unless you are confident that the URLs are for helping the user with programming. You may use URLs provided by the user in their messages or local files.\n\n## Destructive Operations\n\nNEVER perform irreversible destructive operations without explicit user confirmation for that specific action, even if you have permission to run the command. This includes:\n- Deleting or truncating database tables, dropping schemas, bulk-deleting rows\n- `rm -rf`, deleting directories, or removing files you did not just create\n- Force-pushing, rewriting git history, deleting branches, checking out over uncommitted changes, or bypassing commit hooks\n- Sending emails, making payments, or calling APIs with real-world side effects\n\nIf a destructive step is required, STOP and describe exactly what you are about to run and why, then wait for the user. Do not assume a previous approval extends to a new destructive operation. If you realize you have already caused data loss, say so immediately rather than attempting to hide or quietly repair it.\n\n\n\n## Available MCP Servers (for third-party tools)\n\n{\"servers\":[{\"name\":\"cloudflare-bindings\"},{\"name\":\"playwright\"},{\"name\":\"cloudflare-docs\"},{\"name\":\"cloudflare\"},{\"name\":\"cloudflare-observability\"},{\"name\":\"cloudflare-builds\"},{\"name\":\"fff\",\"description\":\"FFF is a fast file finder with frecency-ranked results (frequent/recent files first, git-dirty files boosted).\\n\\n## Which Tool Should I Use?\\n\\n- **grep**: DEFAULT tool. Searches file CONTENTS -- definitions, usage, patterns. Use when you have a specific name or pattern.\\n- **find_files**: Explores which files/modules exist for a topic. Use when you DON'T have a specific identifier or LOOKING FOR A FILE.\\n- **multi_grep**: OR logic across multiple patterns. Use for case variants (e.g. ['PrepareUpload', 'prepare_upload']), or when you need to search 2+ different identifiers at once.\\n\\n## Core Rules\\n\\n### 1. Search BARE IDENTIFIERS only\\nGrep matches single lines. Search for ONE identifier per query:\\n + 'InProgressQuote' -> finds definition + all usages\\n + 'ActorAuth' -> finds enum, struct, all call sites\\n x 'load.*metadata.*InProgressQuote' -> regex spanning multiple tokens, 0 results\\n x 'ctx.data::' -> code syntax, too specific, 0 results\\n x 'struct ActorAuth' -> adding keywords narrows results, misses enums/traits/type aliases\\n x 'TODO.*#\\\\d+' -> complex regex, use simple 'TODO' then filter visually\\n\\n### 2. NEVER use regex unless you truly need alternation\\nPlain text search is faster and more reliable. Regex patterns like `.*`, `\\\\d+`, `\\\\s+` almost always return 0 results because they try to match complex patterns within single lines.\\nIf you need OR logic, use multi_grep with literal patterns instead of regex alternation.\\n\\n### 3. Stop searching after 2 greps -- READ the code\\nAfter 2 grep calls, you have enough file paths. Read the top result to understand the code.\\nDo NOT keep grepping with variations. More greps != better understanding.\\n\\n### 4. Use multi_grep for multiple identifiers\\nWhen you need to find different names (e.g. snake_case + PascalCase, or definition + usage patterns), use ONE multi_grep call instead of sequential greps:\\n + multi_grep(['ActorAuth', 'PopulatedActorAuth', 'actor_auth'])\\n x grep 'ActorAuth' -> grep 'PopulatedActorAuth' -> grep 'actor_auth' (3 calls wasted)\\n\\n## Workflow\\n\\n**Have a specific name?** -> grep the bare identifier.\\n**Need multiple name variants?** -> multi_grep with all variants in one call.\\n**Exploring a topic / finding files?** -> find_files.\\n**Got results?** -> Read the top file. Don't grep again.\\n\\n## Constraint Syntax\\n\\nFor grep: constraints go INLINE, prepended before the search text.\\nFor multi_grep: constraints go in the separate 'constraints' parameter.\\n\\nConstraints MUST match one of these formats:\\n Extension: '*.rs', '*.{ts,tsx}'\\n Directory: 'src/', 'quotes/'\\n Filename: 'schema.rs', 'src/main.rs'\\n Exclude: '!test/', '!*.spec.ts'\\n\\n! Bare words without extensions are NOT constraints. 'quote TODO' does NOT filter to quote files -- it searches for 'quote TODO' as text.\\n + 'schema.rs TODO' -> searches for 'TODO' in files schema.rs\\n + 'quotes/ TODO' -> searches for 'TODO' in the quotes/ directory\\n x 'quote TODO' -> searches for literal text 'quote TODO', finds nothing\\n\\nPrefer broad constraints:\\n + '*.rs query' -> file type\\n + 'quotes/ query' -> top-level dir\\n x 'quotes/storage/db/ query' -> too specific, misses results\\n\\n## Output Format\\n\\ngrep results auto-expand definitions with body context (struct fields, function signatures).\\nThis often provides enough information WITHOUT a follow-up Read call.\\nLines marked with | are definition body context. [def] marks definition files.\\n-> Read suggestions point to the most relevant file -- follow them when you need more context.\\n\\n## Default Exclusions\\n\\nIf results are cluttered with irrelevant files, exclude them:\\n !tests/ - exclude tests directory\\n !*.spec.ts - exclude test files\\n !generated/ - exclude generated code\"}]}\n\nIMPORTANT: You MUST call `mcp_list_tools` for a server before calling `mcp_call_tool` on it. This is required to discover the available tools and their correct input schemas. Never guess tool names or arguments — always list tools first.\n","created_at":"2026-07-14T04:19:58.738607Z","finish_reason":null,"metrics":null},{"message_id":"b80ea3a1-3989-4af5-a16c-c0482be32d9d","node_id":19,"role":"system","content":"Available subagent profiles for the `run_subagent` tool. Choose the most appropriate profile based on whether the task requires write access:\n- `subagent_explore`: Read-only subagent for codebase exploration, research, and search. Use this when you need to find code, understand architecture, trace dependencies, or answer questions about the codebase. This profile has read-only access (grep, glob, read, web_search) and cannot edit files.\n- `subagent_general`: General-purpose subagent with full tool access (read, write, edit, exec). Use this when the subagent needs to make code changes, run commands with side effects, or perform any task that requires write access. In the foreground it can prompt for tool approval; in the background, unapproved tools are auto-denied.","created_at":"2026-07-14T04:19:58.739121Z","finish_reason":null,"metrics":null},{"message_id":"a09b4df6-f597-4157-a61f-0cb39c4fa9f9","node_id":20,"role":"system","content":"You are powered by SWE-1.7 Lightning.","created_at":"2026-07-14T04:20:05.027262Z","finish_reason":null,"metrics":null},{"message_id":"755ef2a0-ea57-43b6-a946-0bafc1a60c66","node_id":21,"role":"system","content":"## Parallel tool calls\n\n- You have the capability to call multiple tools in a single response--when multiple independent pieces of information are requested, batch your tool calls together for optimal performance.\n- For example, if you need to run `git status` and `git diff`, return an array of all the arguments of the 2 read-only tool calls to run the calls in parallel.\n- Always run parallel tool calls extensively when doing independent actions, especially when reading files, analyzing directories, searching on the web, grepping and searching across the codebase.\n- Never perform dependent terminal commands or writes in parallel.","created_at":"2026-07-14T04:20:05.027271Z","finish_reason":null,"metrics":null},{"message_id":"df23c674-8867-4cc2-b7c2-05c962c305cd","node_id":22,"role":"system","content":"\nThe following information is automatically generated context about your current environment.\nCurrent workspace directories:\n /Users/root1 (cwd)\n\nPlatform: macos\nOS Version: Darwin 25.6.0\nToday's date: Monday, 2026-07-13\n\n","created_at":"2026-07-14T04:19:58.157358Z","finish_reason":null,"metrics":null},{"message_id":"81d1c5fe-e6b7-4aa3-8e57-0bf01cc36a95","node_id":23,"role":"system","content":"\n\n\n\n\n\n# Agent Preferences\n\n- If I ever paste in a YouTube link, use yt-dlp to summarize the video.\n- get the autogenerrated captions to do this\n- if asked to summarize a YouTube video, do not name the session until after reading and understanding the full YouTube video transcript\n- for testing that involves urls, start with example.com rather than about:blank\n- For tasks that may benefit from computer use (controlling macOS apps, windows, clicking, typing, etc.), use the background-computer-use skill to control local macOS apps through the BackgroundComputerUse API\n- Secrets/tokens live in `~/.env` (e.g. `HF_TOKEN` for Hugging Face). Source it before use: `set -a; . ~/.env; set +a`\n\n## Cloudflare DNS management\n\nFor Cloudflare DNS management (adding/editing/deleting DNS records), use the **`cf` CLI** instead of `wrangler`.\nWrangler does not have DNS management capabilities, and its OAuth token doesn't work with the Cloudflare REST API for DNS operations.\n\n### Usage\n```bash\n# Check authentication status\ncf auth whoami\n\n# List DNS records for a zone\ncf dns records list -z aidenhuang.com\n\n# Add a DNS record\ncf dns records create -z aidenhuang.com --type CNAME --name devin --content \"target.example.com\" --proxied false\n\n# Delete a DNS record\ncf dns records delete -z aidenhuang.com \n```\n\nThe `cf` CLI uses the same OAuth authentication as `wrangler` and has proper DNS record permissions.\n\n## File search via fff MCP\n\nFor any file search or grep in the current git-indexed project directory, prefer the **fff** MCP tools\n(`mcp__fff__grep`, `mcp__fff__find_files`, `mcp__fff__multi_grep`) over the built-in grep/glob tools.\nfff is frecency-ranked, git-aware, and more token-efficient.\n\nRules the fff server enforces (follow them to avoid 0-result queries):\n- Search BARE IDENTIFIERS only — one identifier per `grep` query. No `load.*metadata.*Foo` style regex.\n- Don't use regex unless you truly need alternation; `.*`, `\\d+`, `\\s+` almost always return 0 results.\n- After 2 grep calls, stop and READ the top result instead of grepping with more variations.\n- Use `multi_grep` for OR logic across multiple identifiers (e.g. snake_case + PascalCase variants) in one call.\n- Have a specific name → `grep`. Exploring a topic / finding files → `find_files`.\n\nThe `fff-mcp` binary lives at `/Users/root1/.local/bin/fff-mcp` and is registered at user scope\nin `~/.config/devin/config.json`. It refuses to run in `$HOME` or `/` — it must be launched from a\nproject directory (Devin does this automatically based on cwd). Update with:\n`curl -fsSL https://raw.githubusercontent.com/dmtrKovalenko/fff.nvim/main/install-mcp.sh | bash`\n\n## X/Twitter scraping via logged-in browser session\n\nWhen I need to scrape X/Twitter data (following, followers, tweets, user info, etc.),\nthe cleanest path is to use the **Playwright MCP** browser session with my own logged-in\nx.com account, rather than spinning up twscrape's account-pool flow. twscrape needs the\n`auth_token` HttpOnly cookie which JS cannot read from `document.cookie`; the browser\nsession attaches all cookies automatically.\n\n### Flow\n1. `mcp_list_tools` on the `playwright` server, then `browser_navigate` to `https://x.com`.\n2. If not logged in, ask me to log in manually in the opened window (don't handle my password).\n3. Once on `https://x.com/home`, read `ct0` from `document.cookie`:\n `document.cookie.match(/ct0=([^;]+)/)[1]`\n4. Call X's GraphQL endpoints directly via `fetch()` inside `browser_evaluate`. Required headers:\n - `authorization: Bearer AAAAAAAAAAAAAAAAAAAAANRILgAAAAAAnNwIzUejRCOuH5E6I8xnZz4puTs%3D1Zv7ttfk8LF81IUq16cHjhLTvJu4FA33AGWWjCpTnA` (the public web-app bearer token)\n - `x-csrf-token: `\n - `x-twitter-auth-type: OAuth2Session`\n - `x-twitter-active-user: yes`\n - `content-type: application/json`\n5. Paginate timelines by reading `content.cursorType === \"Bottom\"` entries and passing\n the value back as `variables.cursor` until it stops changing.\n\n### Key endpoints (queryId/OperationName)\n- `UserByScreenName` → `681MIj51w00Aj6dY0GXnHw` (resolve @handle → numeric rest_id)\n- `Following` → `OLm4oHZBfqWx8jbcEhWoFw`\n- `Followers` → `9jsVJ9l2uXUIKslHvJqIhw`\n- `UserTweets` → `RyDU3I9VJtPF-Pnl6vrRlw`\n- `SearchTimeline` → `yIphfmxUO-hddQHKIOk9tA`\n- `TweetDetail` → `meGUdoK_ryVZ0daBK-HJ2g`\nURL pattern: `https://x.com/i/api/graphql//?variables=&features=`\n\n### Response schema notes (current X web build)\n- User objects now put `screen_name` / `name` under `core`, NOT `legacy.screen_name`.\n twscrape's parser still reads `legacy.screen_name` and returns empty — needs updating.\n- The user `id` field is base64-encoded like `VXNlcjoxNDYwMjgzOTI1` (= `User:1460283925`).\n Decode with `atob(u.id).split(':')[1]` to get the numeric rest_id. `u.rest_id` may also\n be present directly.\n- `is_blue_verified` is the verified flag. `legacy.followers_count`, `legacy.description`\n still exist under `legacy`.\n- Filter timeline entries by `content.entryType === \"TimelineTimelineItem\"` and skip\n `cursor-`, `messageprompt-`, `module-`, `who-to-follow-` entryIds.\n\n### Features dict\nUse the full `GQL_FEATURES` block from twscrape's `api.py` — without it X returns\n`(336) The following features cannot be null`. Pass it URL-encoded as the `features` param.\n\n### Where things live\n- Output CSV: `~/Downloads/utilities/sdand_following.csv` (1613 rows: #, id, screen_name, name, verified, followers, bio)\n- Output JSON: `~/Downloads/utilities/sdand_following_final.json` (double-encoded JSON string; parse with `json.loads(json.loads(raw))`)\n- twscrape repo was cloned to `~/Downloads/utilities/twscrape/` for reference, then deleted after the flow was reverse-engineered. Re-clone from https://github.com/vladkens/twscrape.git if needed.\n\n## Fast Whisper transcription on Modal (A10G)\n\nFor transcribing long-form audio/video (interviews, podcasts, X/Twitter videos), use the\nutility at `~/Downloads/utilities/whisper_x/whisper_transcribe.py`. It does the full\npipeline: URL → yt-dlp download → ffmpeg audio extract → Modal volume upload →\nfaster-whisper on A10G → JSON + TXT output. Validated at **2.3 min wall clock for 65 min\nof audio** (no caching at any layer).\n\n### Usage\nShell alias (defined in `~/.zshrc`): `whisper`\n```bash\n# Transcribe an X/Twitter video (picks first playlist item)\nwhisper \"https://x.com/.../status/123\"\n\n# Pick a specific playlist item, use a smaller model\nwhisper \"https://x.com/...\" --playlist-item 2 --model-size medium\n\n# Transcribe a local audio file\nwhisper /path/to/audio.mp3 --name my-podcast\n\n# Custom output dir + keep downloaded source\nwhisper \"https://...\" --outdir ./transcripts --keep-source\n```\nTranscript text goes to stdout (pipe with `| pbcopy`); structured JSON + readable TXT\nsaved to `/.json` and `/.txt`.\n\n### Key optimizations (vs naive T4 run that took 11.7 min)\n- **A10G GPU** (~8x fp16 throughput vs T4; Modal ~$0.60/hr vs ~$0.16/hr — pennies for short jobs)\n- **`BatchedInferencePipeline`** with `batch_size=16` — batches encoder/decoder across chunks (2-4x)\n- **`beam_size=1`** (greedy) — ~2x faster, negligible WER increase for conversational speech\n- **`vad_filter=True`** — skips silence segments\n- **`compute_type=\"float16\"`** — halves memory bandwidth\n- **No caching**: `force_build=True` on apt/pip steps + unique `download_root` per run forces\n fresh image rebuild + fresh HF model download every time\n\n### Pinned versions (must match)\n- `faster-whisper==1.1.1` (provides `BatchedInferencePipeline`)\n- `ctranslate2==4.8.0`\n- Base image: `nvidia/cuda:12.6.3-cudnn-runtime-ubuntu22.04` (provides `libcublas.so.12`;\n `debian_slim` fails with `RuntimeError: Library libcublas.so.12 is not found`)\n\n### Audio prep (done automatically by the utility)\n```bash\nffmpeg -y -i input.mp4 -vn -ac 1 -ar 16000 -c:a aac -b:a 64k audio.m4a\n```\nMono 16kHz 64kbps AAC — a 65-min video (151 MB stream) becomes ~35 MB audio.\n\n### X/Twitter download notes\n- Tweet URLs can contain **playlists** (multiple videos). Use `--playlist-item N` to pick one.\n- Always use `-f bestaudio/best` to avoid downloading multi-GB high-bitrate video streams.\n- A 65-min interview's video variant can be 2.8+ GB; audio-only is ~63 MB (128 kbps).\n\n### Where things live\n- Utility: `~/Downloads/utilities/whisper_x/whisper_transcribe.py`\n- Strategy doc: `~/Downloads/utilities/whisper_x/STRATEGY.md` (full optimization breakdown)\n- Modal app (standalone): `~/Downloads/utilities/whisper_x/transcribe_fast.py`\n- Modal volume: `whisper-audio` (created automatically; holds uploaded audio files)\n- Modal profile: `aidenhuang-personal` (workspace with GPU access)\n\n\n","created_at":"2026-07-14T04:19:58.739554Z","finish_reason":null,"metrics":null},{"message_id":"043932db-3731-4bf6-9ae0-d6ecc4043284","node_id":24,"role":"user","content":"https://www.youtube.com/watch?v=Do_LjDsisIE","created_at":"2026-07-14T04:20:05.597278Z","finish_reason":null,"metrics":null},{"message_id":"58b31063-71d5-4b28-bb8e-48a054fc03a0","node_id":25,"role":"system","content":"\nThe following skills can be invoked using the `skill` tool. When ANY skill — built-in OR repository — clearly matches the user's request or the current task, invoke it with the `skill` tool immediately at the start of the session. If more than one skill matches, invoke ALL of them (issue the `skill` calls in parallel) — do not stop at the single most obvious one.\n\n- **cloudflare-one**: Guides Cloudflare One Zero Trust and SASE work across Access, Gateway, WARP, Tunnel, Cloudflare WAN, DLP, CASB, device posture, and identity. Use when designing, configuring, troubleshooting, or reviewing Cloudflare One deployments. Retrieval-first: use current Cloudflare docs/API schemas instead of embedded product docs. (source: /Users/root1/.codeium/windsurf/skills/cloudflare-one/SKILL.md)\n- **agents-sdk**: Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, chat applications, voice agents, or browser automation. Covers Agent class, state management, callable RPC, Workflows, durable execution, queues, retries, observability, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.agents/skills/agents-sdk/SKILL.md)\n- **turnstile-spin**: Set up Cloudflare Turnstile end-to-end in a project — scan the codebase, create the widget via the Cloudflare API, deploy the managed siteverify Worker, write the frontend snippets, validate, and persist the skill. Load this when a user asks to add Turnstile, set up CAPTCHA, protect a form from bots, or fix a Turnstile integration. Mirrors developers.cloudflare.com/turnstile/spin. (source: /Users/root1/.agents/skills/turnstile-spin/SKILL.md)\n- **agents-sdk**: Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, chat applications, voice agents, or browser automation. Covers Agent class, state management, callable RPC, Workflows, durable execution, queues, retries, observability, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.config/devin/skills/agents-sdk/SKILL.md)\n- **find-skills**: Helps users discover and install agent skills when they ask questions like \"how do I do X\", \"find a skill for X\", \"is there a skill that can...\", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill. (source: /Users/root1/.agents/skills/find-skills/SKILL.md)\n- **sandbox-sdk**: Build sandboxed applications for secure code execution. Load when building AI code execution, code interpreters, CI/CD systems, interactive dev environments, or executing untrusted code. Covers Sandbox SDK lifecycle, commands, files, code interpreter, and preview URLs. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.claude/skills/sandbox-sdk/SKILL.md)\n- **wrangler**: Cloudflare Workers CLI for deploying, developing, and managing Workers, KV, R2, D1, Vectorize, Hyperdrive, Workers AI, Containers, Queues, Workflows, Pipelines, and Secrets Store. Load before running wrangler commands to ensure correct syntax and best practices. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.agents/skills/wrangler/SKILL.md)\n- **workers-best-practices**: Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checking for common Workers anti-patterns (streaming, floating promises, global state, secrets, bindings, observability). Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.config/devin/skills/workers-best-practices/SKILL.md)\n- **durable-objects**: Create and review Cloudflare Durable Objects. Use when building stateful coordination (chat rooms, multiplayer games, booking systems), implementing RPC methods, SQLite storage, alarms, WebSockets, or reviewing DO code for best practices. Covers Workers integration, wrangler config, and testing with Vitest. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.agents/skills/durable-objects/SKILL.md)\n- **cloudflare-email-service**: Send and receive transactional emails with Cloudflare Email Service (Email Sending + Email Routing). Use when building email sending (Workers binding or REST API), email routing, Agents SDK email handling, or integrating email into any app — Workers, Node.js, Python, Go, etc. Also use for email deliverability, SPF/DKIM/DMARC, wrangler email setup, MCP email tools, or when a coding agent needs to send emails. Even for simple requests like \"add email to my Worker\" — this skill has critical config details. (source: /Users/root1/.codeium/windsurf/skills/cloudflare-email-service/SKILL.md)\n- **turnstile-spin**: Set up Cloudflare Turnstile end-to-end in a project — scan the codebase, create the widget via the Cloudflare API, deploy the managed siteverify Worker, write the frontend snippets, validate, and persist the skill. Load this when a user asks to add Turnstile, set up CAPTCHA, protect a form from bots, or fix a Turnstile integration. Mirrors developers.cloudflare.com/turnstile/spin. (source: /Users/root1/.config/devin/skills/turnstile-spin/SKILL.md)\n- **cloudflare**: Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), feature flags (Flagship), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.codeium/windsurf/skills/cloudflare/SKILL.md)\n- **cloudflare-email-service**: Send and receive transactional emails with Cloudflare Email Service (Email Sending + Email Routing). Use when building email sending (Workers binding or REST API), email routing, Agents SDK email handling, or integrating email into any app — Workers, Node.js, Python, Go, etc. Also use for email deliverability, SPF/DKIM/DMARC, wrangler email setup, MCP email tools, or when a coding agent needs to send emails. Even for simple requests like \"add email to my Worker\" — this skill has critical config details. (source: /Users/root1/.config/devin/skills/cloudflare-email-service/SKILL.md)\n- **workers-best-practices**: Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checking for common Workers anti-patterns (streaming, floating promises, global state, secrets, bindings, observability). Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.claude/skills/workers-best-practices/SKILL.md)\n- **web-perf**: Analyzes web performance using Chrome DevTools MCP. Measures Core Web Vitals (LCP, INP, CLS) and supplementary metrics (FCP, TBT, Speed Index), identifies render-blocking resources, network dependency chains, layout shifts, caching issues, and accessibility gaps. Use when asked to audit, profile, debug, or optimize page load performance, Lighthouse scores, or site speed. Biases towards retrieval from current documentation over pre-trained knowledge. (source: /Users/root1/.codeium/windsurf/skills/web-perf/SKILL.md)\n- **durable-objects**: Create and review Cloudflare Durable Objects. Use when building stateful coordination (chat rooms, multiplayer games, booking systems), implementing RPC methods, SQLite storage, alarms, WebSockets, or reviewing DO code for best practices. Covers Workers integration, wrangler config, and testing with Vitest. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.config/devin/skills/durable-objects/SKILL.md)\n- **cloudflare-one-migrations**: Plans migrations from Zscaler ZIA/ZPA, Palo Alto, legacy VPN, SWG, or SASE stacks to Cloudflare One. Use for migration assessments, policy mapping, rollout plans, and parity/gap analysis. (source: /Users/root1/.claude/skills/cloudflare-one-migrations/SKILL.md)\n- **sandbox-sdk**: Build sandboxed applications for secure code execution. Load when building AI code execution, code interpreters, CI/CD systems, interactive dev environments, or executing untrusted code. Covers Sandbox SDK lifecycle, commands, files, code interpreter, and preview URLs. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.config/devin/skills/sandbox-sdk/SKILL.md)\n- **web-perf**: Analyzes web performance using Chrome DevTools MCP. Measures Core Web Vitals (LCP, INP, CLS) and supplementary metrics (FCP, TBT, Speed Index), identifies render-blocking resources, network dependency chains, layout shifts, caching issues, and accessibility gaps. Use when asked to audit, profile, debug, or optimize page load performance, Lighthouse scores, or site speed. Biases towards retrieval from current documentation over pre-trained knowledge. (source: /Users/root1/.config/devin/skills/web-perf/SKILL.md)\n- **cloudflare-one-migrations**: Plans migrations from Zscaler ZIA/ZPA, Palo Alto, legacy VPN, SWG, or SASE stacks to Cloudflare One. Use for migration assessments, policy mapping, rollout plans, and parity/gap analysis. (source: /Users/root1/.config/devin/skills/cloudflare-one-migrations/SKILL.md)\n- **wrangler**: Cloudflare Workers CLI for deploying, developing, and managing Workers, KV, R2, D1, Vectorize, Hyperdrive, Workers AI, Containers, Queues, Workflows, Pipelines, and Secrets Store. Load before running wrangler commands to ensure correct syntax and best practices. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.config/devin/skills/wrangler/SKILL.md)\n- **cloudflare-one**: Guides Cloudflare One Zero Trust and SASE work across Access, Gateway, WARP, Tunnel, Cloudflare WAN, DLP, CASB, device posture, and identity. Use when designing, configuring, troubleshooting, or reviewing Cloudflare One deployments. Retrieval-first: use current Cloudflare docs/API schemas instead of embedded product docs. (source: /Users/root1/.config/devin/skills/cloudflare-one/SKILL.md)\n- **cloudflare-agent-setup**: (source: /Users/root1/.devin/skills/cloudflare-agent-setup/SKILL.md)\n- **background-computer-use**: Launch and use the local BackgroundComputerUse macOS runtime through its self-documenting loopback API. Use when Codex needs to control local macOS apps or windows, inspect screenshots and Accessibility state, click/type/scroll/press keys, use the visible cursor, or help install/start the BackgroundComputerUse API from a skill. (source: /Users/root1/.devin/skills/background-computer-use/SKILL.md)\n- **cloudflare**: Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), feature flags (Flagship), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task. Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.config/devin/skills/cloudflare/SKILL.md)\n- **devin-cli**: Look up Devin CLI documentation (skills, extensibility, configuration, commands, models, troubleshooting) (source: /Users/root1/.local/share/devin/cli/_versions/3000.1.27/share/devin/docs)\n- **declarative-repo-setup**: Generate and verify a working environment.yaml (Devin snapshot-setup blueprint) for a repo (source: builtin:drs)\n","created_at":"2026-07-14T04:20:05.598452Z","finish_reason":null,"metrics":null},{"message_id":"119ba1cd-a1ac-4c4a-b24e-ec36c284b9fa","node_id":27,"role":"assistant","content":"","tool_calls":[{"id":"functions.exec:0","name":"exec","arguments":{"command":"yt-dlp --version"}}],"thinking":"The user has provided a YouTube link. According to the always-on rules:\n- \"If I ever paste in a YouTube link, use yt-dlp to summarize the video.\"\n- \"get the autogenerated captions to do this\"\n- \"if asked to summarize a YouTube video, do not name the session until after reading and understanding the full YouTube video transcript\"\n\nSo I need to use yt-dlp to download the captions/transcript and then summarize the video. I should not name the session yet.\n\nLet me use yt-dlp to extract the transcript. I need to check if yt-dlp is available and get the captions. I'll use yt-dlp's subtitle/list feature.\n\nFirst, let me think about the command. yt-dlp can list available subtitles with --list-subs and download them with --write-subs or extract them. To get auto-generated captions, I can use:\n- --list-subs to see available subtitles\n- --write-auto-subs to write auto-generated subtitles\n- --skip-download to not download the video\n\nOr I can use yt-dlp to extract the transcript directly to text. Let me use a command that gets the auto-generated subtitles in a text format.\n\nA good approach:\n1. List available subs first\n2. Use yt-dlp --write-auto-subs --skip-download --sub-lang en --convert-subs srt or similar\n\nActually, a cleaner way is to use yt-dlp --dump-json to get metadata including subtitles, or to just download the .vtt file and convert it to text.\n\nLet me start by checking yt-dlp availability and listing subs.","created_at":"2026-07-14T04:20:08.293841Z","finish_reason":"tool_calls","metrics":{"ttft_ms":1549,"total_time_ms":2417,"input_tokens":17040,"output_tokens":354,"cache_read_tokens":512,"cache_creation_tokens":null,"tpot_ms":2.4519774011299433,"tokens_per_sec":407.8341013824885}},{"message_id":"b5f1716c-d0d7-40e5-a9fd-4c6d3706d144","node_id":28,"role":"tool","content":"Output from command in shell 082484:\n2025.12.08\n\n\nExit code: 0","created_at":"2026-07-14T04:20:08.702606Z","finish_reason":null,"metrics":null},{"message_id":"ca8c1aaf-13a6-4ecf-8915-7191ae0daf74","node_id":30,"role":"assistant","content":"","tool_calls":[{"id":"functions.exec:1","name":"exec","arguments":{"command":"yt-dlp --list-subs \"https://www.youtube.com/watch?v=Do_LjDsisIE\""}}],"thinking":"yt-dlp is available. Now I'll list the available subtitles for the video and then download the auto-generated English captions.","created_at":"2026-07-14T04:20:09.298666Z","finish_reason":"tool_calls","metrics":{"ttft_ms":491,"total_time_ms":594,"input_tokens":407,"output_tokens":63,"cache_read_tokens":17536,"cache_creation_tokens":null,"tpot_ms":1.6349206349206349,"tokens_per_sec":611.6504854368932}},{"message_id":"2a55d2af-7267-4cb9-a551-2ecd3d274e4f","node_id":31,"role":"tool","content":"Output from command in shell 916349:\nWARNING: Your yt-dlp version (2025.12.08) is older than 90 days!\n It is strongly recommended to always use the latest version.\n You installed yt-dlp with pip or using the wheel from PyPi; Use that to update.\n To suppress this warning, add --no-update to your command/config.\n[youtube] Extracting URL: https://www.youtube.com/watch?v=Do_LjDsisIE\n[youtube] Do_LjDsisIE: Downloading webpage\n[youtube] Do_LjDsisIE: Downloading tv client config\n[youtube] Do_LjDsisIE: Downloading player dd53c628-main\n[youtube] Do_LjDsisIE: Downloading tv player API JSON\n[youtube] Do_LjDsisIE: Downloading android sdkless player API JSON\n[youtube] [jsc:deno] Solving JS challenges using deno\nWARNING: [youtube] [jsc] Remote components challenge solver script (deno) and NPM package (deno) were skipped. These may be required to solve JS challenges. You can enable these downloads with --remote-components ejs:github (recommended) or --remote-components ejs:npm , respectively. For more information and alternatives, refer to https://github.com/yt-dlp/yt-dlp/wiki/EJS\nWARNING: [youtube] Do_LjDsisIE: n challenge solving failed: Some formats may be missing. Ensure you have a supported JavaScript runtime and challenge solver script distribution installed. Review any warnings presented before this message. For more details, refer to https://github.com/yt-dlp/yt-dlp/wiki/EJS\n[info] Available automatic captions for Do_LjDsisIE:\nLanguage Name Formats\nab Abkhazian vtt, srt, ttml, srv3, srv2, srv1, json3\naa Afar vtt, srt, ttml, srv3, srv2, srv1, json3\naf Afrikaans vtt, srt, ttml, srv3, srv2, srv1, json3\nak Akan vtt, srt, ttml, srv3, srv2, srv1, json3\nsq Albanian vtt, srt, ttml, srv3, srv2, srv1, json3\nam Amharic vtt, srt, ttml, srv3, srv2, srv1, json3\nar Arabic vtt, srt, ttml, srv3, srv2, srv1, json3\nhy Armenian vtt, srt, ttml, srv3, srv2, srv1, json3\nas Assamese vtt, srt, ttml, srv3, srv2, srv1, json3\nay Aymara vtt, srt, ttml, srv3, srv2, srv1, json3\naz Azerbaijani vtt, srt, ttml, srv3, srv2, srv1, json3\nbn Bangla vtt, srt, ttml, srv3, srv2, srv1, json3\nba Bashkir vtt, srt, ttml, srv3, srv2, srv1, json3\neu Basque vtt, srt, ttml, srv3, srv2, srv1, json3\nbe Belarusian vtt, srt, ttml, srv3, srv2, srv1, json3\nbho Bhojpuri vtt, srt, ttml, srv3, srv2, srv1, json3\nbs Bosnian vtt, srt, ttml, srv3, srv2, srv1, json3\nbr Breton vtt, srt, ttml, srv3, srv2, srv1, json3\nbg Bulgarian vtt, srt, ttml, srv3, srv2, srv1, json3\nmy Burmese vtt, srt, ttml, srv3, srv2, srv1, json3\nca Catalan vtt, srt, ttml, srv3, srv2, srv1, json3\nceb Cebuano vtt, srt, ttml, srv3, srv2, srv1, json3\nzh-Hans Chinese (Simplified) vtt, srt, ttml, srv3, srv2, srv1, json3\nzh-Hant Chinese (Traditional) vtt, srt, ttml, srv3, srv2, srv1, json3\nco Corsican vtt, srt, ttml, srv3, srv2, srv1, json3\nhr Croatian vtt, srt, ttml, srv3, srv2, srv1, json3\ncs Czech vtt, srt, ttml, srv3, srv2, srv1, json3\nda Danish vtt, srt, ttml, srv3, srv2, srv1, json3\ndv Divehi vtt, srt, ttml, srv3, srv2, srv1, json3\nnl Dutch vtt, srt, ttml, srv3, srv2, srv1, json3\ndz Dzongkha vtt, srt, ttml, srv3, srv2, srv1, json3\nen-orig English (Original) vtt, srt, ttml, srv3, srv2, srv1, json3\nen English vtt, srt, ttml, srv3, srv2, srv1, json3\neo Esperanto vtt, srt, ttml, srv3, srv2, srv1, json3\net Estonian vtt, srt, ttml, srv3, srv2, srv1, json3\nee Ewe vtt, srt, ttml, srv3, srv2, srv1, json3\nfo Faroese vtt, srt, ttml, srv3, srv2, srv1, json3\nfj Fijian vtt, srt, ttml, srv3, srv2, srv1, json3\nfil Filipino vtt, srt, ttml, srv3, srv2, srv1, json3\nfi Finnish vtt, srt, ttml, srv3, srv2, srv1, json3\nfr French vtt, srt, ttml, srv3, srv2, srv1, json3\ngaa Ga vtt, srt, ttml, srv3, srv2, srv1, json3\ngl Galician vtt, srt, ttml, srv3, srv2, srv1, json3\nlg Ganda vtt, srt, ttml, srv3, srv2, srv1, json3\nka Georgian vtt, srt, ttml, srv3, srv2, srv1, json3\nde German vtt, srt, ttml, srv3, srv2, srv1, json3\nel Greek vtt, srt, ttml, srv3, srv2, srv1, json3\ngn Guarani vtt, srt, ttml, srv3, srv2, srv1, json3\ngu Gujarati vtt, srt, ttml, srv3, srv2, srv1, json3\nht Haitian Creole vtt, srt, ttml, srv3, srv2, srv1, json3\nha Hausa vtt, srt, ttml, srv3, srv2, srv1, json3\nhaw Hawaiian vtt, srt, ttml, srv3, srv2, srv1, json3\niw Hebrew vtt, srt, ttml, srv3, srv2, srv1, json3\nhi Hindi vtt, srt, ttml, srv3, srv2, srv1, json3\nhmn Hmong vtt, srt, ttml, srv3, srv2, srv1, json3\nhu Hungarian vtt, srt, ttml, srv3, srv2, srv1, json3\nis Icelandic vtt, srt, ttml, srv3, srv2, srv1, json3\nig Igbo vtt, srt, ttml, srv3, srv2, srv1, json3\nid Indonesian vtt, srt, ttml, srv3, srv2, srv1, json3\niu Inuktitut vtt, srt, ttml, srv3, srv2, srv1, json3\nga Irish vtt, srt, ttml, srv3, srv2, srv1, json3\nit Italian vtt, srt, ttml, srv3, srv2, srv1, json3\nja Japanese vtt, srt, ttml, srv3, srv2, srv1, json3\njv Javanese vtt, srt, ttml, srv3, srv2, srv1, json3\nkl Kalaallisut vtt, srt, ttml, srv3, srv2, srv1, json3\nkn Kannada vtt, srt, ttml, srv3, srv2, srv1, json3\nkk Kazakh vtt, srt, ttml, srv3, srv2, srv1, json3\nkha Khasi vtt, srt, ttml, srv3, srv2, srv1, json3\nkm Khmer vtt, srt, ttml, srv3, srv2, srv1, json3\nrw Kinyarwanda vtt, srt, ttml, srv3, srv2, srv1, json3\nko Korean vtt, srt, ttml, srv3, srv2, srv1, json3\nkri Krio vtt, srt, ttml, srv3, srv2, srv1, json3\nku Kurdish vtt, srt, ttml, srv3, srv2, srv1, json3\nky Kyrgyz vtt, srt, ttml, srv3, srv2, srv1, json3\nlo Lao vtt, srt, ttml, srv3, srv2, srv1, json3\nla Latin vtt, srt, ttml, srv3, srv2, srv1, json3\nlv Latvian vtt, srt, ttml, srv3, srv2, srv1, json3\nln Lingala vtt, srt, ttml, srv3, srv2, srv1, json3\nlt Lithuanian vtt, srt, ttml, srv3, srv2, srv1, json3\nlua Luba-Lulua vtt, srt, ttml, srv3, srv2, srv1, json3\nluo Luo vtt, srt, ttml, srv3, srv2, srv1, json3\nlb Luxembourgish vtt, srt, ttml, srv3, srv2, srv1, json3\nmk Macedonian vtt, srt, ttml, srv3, srv2, srv1, json3\nmg Malagasy vtt, srt, ttml, srv3, srv2, srv1, json3\nms Malay vtt, srt, ttml, srv3, srv2, srv1, json3\nml Malayalam vtt, srt, ttml, srv3, srv2, srv1, json3\nmt Maltese vtt, srt, ttml, srv3, srv2, srv1, json3\ngv Manx vtt, srt, ttml, srv3, srv2, srv1, json3\nmi Māori vtt, srt, ttml, srv3, srv2, srv1, json3\nmr Marathi vtt, srt, ttml, srv3, srv2, srv1, json3\nmn Mongolian vtt, srt, ttml, srv3, srv2, srv1, json3\nmfe Morisyen vtt, srt, ttml, srv3, srv2, srv1, json3\nne Nepali vtt, srt, ttml, srv3, srv2, srv1, json3\nnew Newari vtt, srt, ttml, srv3, srv2, srv1, json3\nnso Northern Sotho vtt, srt, ttml, srv3, srv2, srv1, json3\nno Norwegian vtt, srt, ttml, srv3, srv2, srv1, json3\nny Nyanja vtt, srt, ttml, srv3, srv2, srv1, json3\noc Occitan vtt, srt, ttml, srv3, srv2, srv1, json3\nor Odia vtt, srt, ttml, srv3, srv2, srv1, json3\nom Oromo vtt, srt, ttml, srv3, srv2, srv1, json3\nos Ossetic vtt, srt, ttml, srv3, srv2, srv1, json3\npam Pampanga vtt, srt, ttml, srv3, srv2, srv1, json3\nps Pashto vtt, srt, ttml, srv3, srv2, srv1, json3\nfa Persian vtt, srt, ttml, srv3, srv2, srv1, json3\npl Polish vtt, srt, ttml, srv3, srv2, srv1, json3\npt Portuguese vtt, srt, ttml, srv3, srv2, srv1, json3\npt-PT Portuguese (Portugal) vtt, srt, ttml, srv3, srv2, srv1, json3\npa Punjabi vtt, srt, ttml, srv3, srv2, srv1, json3\nqu Quechua vtt, srt, ttml, srv3, srv2, srv1, json3\nro Romanian vtt, srt, ttml, srv3, srv2, srv1, json3\nrn Rundi vtt, srt, ttml, srv3, srv2, srv1, json3\nru Russian vtt, srt, ttml, srv3, srv2, srv1, json3\nsm Samoan vtt, srt, ttml, srv3, srv2, srv1, json3\nsg Sango vtt, srt, ttml, srv3, srv2, srv1, json3\nsa Sanskrit vtt, srt, ttml, srv3, srv2, srv1, json3\ngd Scottish Gaelic vtt, srt, ttml, srv3, srv2, srv1, json3\nsr Serbian vtt, srt, ttml, srv3, srv2, srv1, json3\ncrs Seselwa Creole French vtt, srt, ttml, srv3, srv2, srv1, json3\nsn Shona vtt, srt, ttml, srv3, srv2, srv1, json3\nsd Sindhi vtt, srt, ttml, srv3, srv2, srv1, json3\nsi Sinhala vtt, srt, ttml, srv3, srv2, srv1, json3\nsk Slovak vtt, srt, ttml, srv3, srv2, srv1, json3\nsl Slovenian vtt, srt, ttml, srv3, srv2, srv1, json3\nso Somali vtt, srt, ttml, srv3, srv2, srv1, json3\nst Southern Sotho vtt, srt, ttml, srv3, srv2, srv1, json3\nes Spanish vtt, srt, ttml, srv3, srv2, srv1, json3\nsu Sundanese vtt, srt, ttml, srv3, srv2, srv1, json3\nsw Swahili vtt, srt, ttml, srv3, srv2, srv1, json3\nss Swati vtt, srt, ttml, srv3, srv2, srv1, json3\nsv Swedish vtt, srt, ttml, srv3, srv2, srv1, json3\ntg Tajik vtt, srt, ttml, srv3, srv2, srv1, json3\nta Tamil vtt, srt, ttml, srv3, srv2, srv1, json3\ntt Tatar vtt, srt, ttml, srv3, srv2, srv1, json3\nte Telugu vtt, srt, ttml, srv3, srv2, srv1, json3\nth Thai vtt, srt, ttml, srv3, srv2, srv1, json3\nbo Tibetan vtt, srt, ttml, srv3, srv2, srv1, json3\nti Tigrinya vtt, srt, ttml, srv3, srv2, srv1, json3\nto Tongan vtt, srt, ttml, srv3, srv2, srv1, json3\nts Tsonga vtt, srt, ttml, srv3, srv2, srv1, json3\ntn Tswana vtt, srt, ttml, srv3, srv2, srv1, json3\ntum Tumbuka vtt, srt, ttml, srv3, srv2, srv1, json3\ntr Turkish vtt, srt, ttml, srv3, srv2, srv1, json3\ntk Turkmen vtt, srt, ttml, srv3, srv2, srv1, json3\nuk Ukrainian vtt, srt, ttml, srv3, srv2, srv1, json3\nur Urdu vtt, srt, ttml, srv3, srv2, srv1, json3\nug Uyghur vtt, srt, ttml, srv3, srv2, srv1, json3\nuz Uzbek vtt, srt, ttml, srv3, srv2, srv1, json3\nve Venda vtt, srt, ttml, srv3, srv2, srv1, json3\nvi Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3\nwar Waray vtt, srt, ttml, srv3, srv2, srv1, json3\ncy Welsh vtt, srt, ttml, srv3, srv2, srv1, json3\nfy Western Frisian vtt, srt, ttml, srv3, srv2, srv1, json3\nwo Wolof vtt, srt, ttml, srv3, srv2, srv1, json3\nxh Xhosa vtt, srt, ttml, srv3, srv2, srv1, json3\nyi Yiddish vtt, srt, ttml, srv3, srv2, srv1, json3\nyo Yoruba vtt, srt, ttml, srv3, srv2, srv1, json3\nzu Zulu vtt, srt, ttml, srv3, srv2, srv1, json3\nDo_LjDsisIE has no subtitles\n\n\nExit code: 0","created_at":"2026-07-14T04:20:11.867017Z","finish_reason":null,"metrics":null},{"message_id":"63b9b5d3-f1a9-4105-9e1a-d4cff0766c5b","node_id":33,"role":"assistant","content":"","tool_calls":[{"id":"functions.exec:2","name":"exec","arguments":{"command":"cd /tmp && yt-dlp --write-auto-subs --skip-download --sub-langs en --convert-subs srt -o \"%(id)s.%(ext)s\" \"https://www.youtube.com/watch?v=Do_LjDsisIE\""}}],"thinking":"The video has auto-generated captions available in English. I see \"en\" and \"en-orig\" (English Original). I'll download the English auto-generated captions. I'll use a temp directory and download the .vtt or .srt, then extract the text.\n\nLet me use yt-dlp with --write-auto-subs --skip-download --sub-langs en --convert-subs srt, or better yet download as plain text. Actually, to get plain text, the easiest is to download the .vtt and then strip the timing. Or I can use --dump-json with subtitles.\n\nLet me do:\nyt-dlp --write-auto-subs --skip-download --sub-langs en --convert-subs srt -o \"/tmp/%(id)s.%(ext)s\" \"https://...\"\n\nThen I'll have an SRT file I can parse. Or I could use the json3 format which is JSON and easier to parse.\n\nActually, the simplest might be to use yt-dlp --print \"%(subtitles.?:0:1000)s\" but that's complex.\n\nLet me just download the auto-subs as .srt and then process it.","created_at":"2026-07-14T04:20:13.178009Z","finish_reason":"tool_calls","metrics":{"ttft_ms":693,"total_time_ms":1310,"input_tokens":4617,"output_tokens":307,"cache_read_tokens":17920,"cache_creation_tokens":null,"tpot_ms":2.009771986970684,"tokens_per_sec":497.5688816855753}},{"message_id":"08690015-ae44-4f2f-9137-9cb139da1cd2","node_id":34,"role":"tool","content":"Output from command in shell 8ab642:\nWARNING: Your yt-dlp version (2025.12.08) is older than 90 days!\n It is strongly recommended to always use the latest version.\n You installed yt-dlp with pip or using the wheel from PyPi; Use that to update.\n To suppress this warning, add --no-update to your command/config.\n[youtube] Extracting URL: https://www.youtube.com/watch?v=Do_LjDsisIE\n[youtube] Do_LjDsisIE: Downloading webpage\n[youtube] Do_LjDsisIE: Downloading tv client config\n[youtube] Do_LjDsisIE: Downloading player dd53c628-main\n[youtube] Do_LjDsisIE: Downloading tv player API JSON\n[youtube] Do_LjDsisIE: Downloading android sdkless player API JSON\nWARNING: [youtube] Do_LjDsisIE: Some tv client https formats have been skipped as they are missing a url. YouTube may have enabled the SABR-only or Server-Side Ad Placement experiment for the current session. See https://github.com/yt-dlp/yt-dlp/issues/12482 for more details\n[youtube] [jsc:deno] Solving JS challenges using deno\nWARNING: [youtube] [jsc] Remote components challenge solver script (deno) and NPM package (deno) were skipped. These may be required to solve JS challenges. You can enable these downloads with --remote-components ejs:github (recommended) or --remote-components ejs:npm , respectively. For more information and alternatives, refer to https://github.com/yt-dlp/yt-dlp/wiki/EJS\nWARNING: [youtube] Do_LjDsisIE: n challenge solving failed: Some formats may be missing. Ensure you have a supported JavaScript runtime and challenge solver script distribution installed. Review any warnings presented before this message. For more details, refer to https://github.com/yt-dlp/yt-dlp/wiki/EJS\nWARNING: [youtube] Do_LjDsisIE: Some web client https formats have been skipped as they are missing a url. YouTube is forcing SABR streaming for this client. See https://github.com/yt-dlp/yt-dlp/issues/12482 for more details\n[info] Do_LjDsisIE: Downloading subtitles: en\n[info] Do_LjDsisIE: Downloading 1 format(s): 401+251\n[info] Writing video subtitles to: Do_LjDsisIE.en.vtt\n[download] Destination: Do_LjDsisIE.en.vtt\n\r[download] 1.00KiB at Unknown B/s (00:00:00)\r[download] 3.00KiB at Unknown B/s (00:00:00)\r[download] 7.00KiB at Unknown B/s (00:00:00)\r[download] 15.00KiB at 3.90MiB/s (00:00:00)\r[download] 31.00KiB at 2.26MiB/s (00:00:00)\r[download] 63.00KiB at 3.03MiB/s (00:00:00)\r[download] 127.00KiB at 3.82MiB/s (00:00:00)\r[download] 206.82KiB at 4.79MiB/s (00:00:00)\r[download] 100% of 206.82KiB in 00:00:00 at 1.30MiB/s\n[SubtitlesConvertor] Converting subtitles\nDeleting original file Do_LjDsisIE.en.vtt (pass -k to keep)\n\n\nExit code: 0","created_at":"2026-07-14T04:20:15.790776Z","finish_reason":null,"metrics":null},{"message_id":"d0978dfb-8d8e-41ce-ba5e-fe3ecd218a86","node_id":36,"role":"assistant","content":"","tool_calls":[{"id":"functions.exec:3","name":"exec","arguments":{"command":"ls -la /tmp/Do_LjDsisIE*"}}],"thinking":"The SRT file was downloaded. It says \"Deleting original file Do_LjDsisIE.en.vtt\" and converted. But it says destination was Do_LjDsisIE.en.vtt. Hmm, the conversion might have created Do_LjDsisIE.en.srt. Let me check.","created_at":"2026-07-14T04:20:16.492306Z","finish_reason":"tool_calls","metrics":{"ttft_ms":527,"total_time_ms":700,"input_tokens":1172,"output_tokens":92,"cache_read_tokens":22528,"cache_creation_tokens":null,"tpot_ms":1.8804347826086956,"tokens_per_sec":531.7919075144508}},{"message_id":"f370e767-22a3-49f5-af01-5fd89b4e762c","node_id":37,"role":"tool","content":"Output from command in shell f2efd2:\n-rw-r--r-- 1 root1 wheel 110463 Jul 13 21:20 /tmp/Do_LjDsisIE.en.srt\n\n\nExit code: 0","created_at":"2026-07-14T04:20:16.524047Z","finish_reason":null,"metrics":null},{"message_id":"edf6183f-0214-41dc-ab4c-bd8d4bdf0fab","node_id":39,"role":"assistant","content":"","tool_calls":[{"id":"functions.exec:4","name":"exec","arguments":{"command":"cd /tmp && python3 -c \"\nimport re\nwith open('Do_LjDsisIE.en.srt') as f:\n text = f.read()\n# Parse SRT entries\nentries = re.split(r'\\n\\s*\\n', text.strip())\nlines = []\nfor entry in entries:\n # Remove index and timing lines\n parts = entry.split('\\n')\n # Skip first line (index) and second line (timing)\n content = '\\n'.join(parts[2:])\n # Remove etc tags\n content = re.sub(r'<[^>]+>', '', content)\n lines.append(content.strip())\n# Remove duplicate consecutive lines (repeated captions)\nresult = []\nprev = None\nfor line in lines:\n if line != prev and line:\n result.append(line)\n prev = line\nprint('\\n'.join(result))\n\" > /tmp/Do_LjDsisIE.transcript.txt\nwc -l /tmp/Do_LjDsisIE.transcript.txt"}}],"thinking":"I have the SRT file. Now I need to extract the text from it. I can use a Python one-liner or sed/awk to strip timing and subtitle numbers. Then I'll read the transcript. Since it could be long, I should probably process it. Let me convert SRT to plain text. I'll use python to parse it and output plain text without duplicates.\n\nActually, I can just use a simple sed command to remove the timing lines and numbers, then use the transcript. But SRT format has:\n1\n00:00:00,000 --> 00:00:02,000\nText line 1\n\n2\n...\n\nTo get plain text, remove lines that are empty, numeric, or contain \"-->\".\n\nLet me use Python to parse SRT properly and join lines.","created_at":"2026-07-14T04:20:18.030019Z","finish_reason":"tool_calls","metrics":{"ttft_ms":577,"total_time_ms":1504,"input_tokens":180,"output_tokens":412,"cache_read_tokens":23680,"cache_creation_tokens":null,"tpot_ms":2.25,"tokens_per_sec":444.4444444444444}},{"message_id":"5dedcd4d-7ab8-4a3b-adbe-cf3e6830e919","node_id":40,"role":"tool","content":"Output from command in shell 940615:\n 1770 /tmp/Do_LjDsisIE.transcript.txt\n\n\nExit code: 0","created_at":"2026-07-14T04:20:18.086847Z","finish_reason":null,"metrics":null},{"message_id":"7beca72b-2924-487f-bba1-cd9c12c18470","node_id":42,"role":"assistant","content":"","tool_calls":[{"id":"functions.exec:5","name":"exec","arguments":{"command":"cd /tmp && yt-dlp --print \"%(title)s\\n%(uploader)s\\n%(duration_string)s\\n%(description)s\" --skip-download \"https://www.youtube.com/watch?v=Do_LjDsisIE\""}}],"thinking":"The transcript is 1770 lines. That might be a lot to read fully, but the rule says \"do not name the session until after reading and understanding the full YouTube video transcript\" and \"get the autogenerated captions to do this\". So I should read the transcript. But it might be too large to fit. Let me check the size and read it in chunks. Also, I should get the title of the video and metadata to understand context.\n\nLet me get the title and view metadata.","created_at":"2026-07-14T04:20:19.172853Z","finish_reason":"tool_calls","metrics":{"ttft_ms":731,"total_time_ms":1084,"input_tokens":511,"output_tokens":169,"cache_read_tokens":23808,"cache_creation_tokens":null,"tpot_ms":2.088757396449704,"tokens_per_sec":478.75354107648724}},{"message_id":"187533fc-921e-46f6-b51e-8e6a55ebf070","node_id":43,"role":"tool","content":"Output from command in shell ea0b26:\nWARNING: Your yt-dlp version (2025.12.08) is older than 90 days!\n It is strongly recommended to always use the latest version.\n You installed yt-dlp with pip or using the wheel from PyPi; Use that to update.\n To suppress this warning, add --no-update to your command/config.\nWARNING: [youtube] [jsc] Remote components challenge solver script (deno) and NPM package (deno) were skipped. These may be required to solve JS challenges. You can enable these downloads with --remote-components ejs:github (recommended) or --remote-components ejs:npm , respectively. For more information and alternatives, refer to https://github.com/yt-dlp/yt-dlp/wiki/EJS\nWARNING: [youtube] Do_LjDsisIE: n challenge solving failed: Some formats may be missing. Ensure you have a supported JavaScript runtime and challenge solver script distribution installed. Review any warnings presented before this message. For more details, refer to https://github.com/yt-dlp/yt-dlp/wiki/EJS\nThe One Discipline That Made Me a Billionaire by Age 30 | Lucy Guo, Passes\\nEO\\n19:19\\nMeet Lucy Guo, Founder & CEO of Passes and Co-Founder of ScaleAI, who became the youngest self-made female billionaire. \n\nWhat's the secret behind all these impressive titles? How has her life changed since becoming a billionaire? In this interview, we discovered that Lucy is more than just her accolades. She's an entrepreneur driven by positivity, self-confidence, and hard work. From dropping out of college to co-founding Scale AI and building Passes, Lucy shares the real lessons she’s learned through countless challenges.\n\n00:00 Intro\n02:16 The Mindset That Made the Youngest Self-Made Billionaire\n05:14 Why I Dropped Out and Stopped Being the \"Good Girl\"\n06:12 The No.1 Rule That Makes You Take Risks \n07:01 EO Partner Highlight: EO x Lovable\n08:04 What I Learned at Snap\n09:57 Leaving Snap to Found Scale AI\n11:54 Most Painful Failure\n12:49 Principle 1- Impact drives people\n13:17 Principle 2- Do not avoid IC work\n14:08 Principle 3. Choose grit over genius\n14:49 Principle 4. Be Kind\n15:20 Don't Build If You're Not Obsessed\n17:44 Be Everyone's Cheerleader\n\n🔗 Read the full transcription of Lucy’s interview: https://www.eomag.io/article/passes-lucy-guo?utm_source=youtube&utm_medium=description\n\n✨EO Partner Highlight: EO x Lovable✨\n📍The promo code EO20YT mentioned in the video has now expired, but you can still explore Lovable here: https://lovable.dev/\n\nEO stands for Entrepreneur& Opportunities. As we're looking to feature more inspiring stories of entrepreneurs all over the world, don't hesitate to contact us at partner@eoeoeo.net\n\nX | @eostudi0\nLinkedIn | @EO STUDIO\nInstagram | @eostudio.official \nNewsletter | https://www.eomag.io/subscribe?utm_source=youtube&utm_medium=description\n\n\nExit code: 0","created_at":"2026-07-14T04:20:21.485239Z","finish_reason":null,"metrics":null},{"message_id":"3e4beab0-a0d0-43ec-ad48-fdb3a103dcb7","node_id":45,"role":"assistant","content":"","tool_calls":[{"id":"functions.exec:6","name":"exec","arguments":{"command":"wc -c /tmp/Do_LjDsisIE.transcript.txt"}}],"thinking":"Good. The video is \"The One Discipline That Made Me a Billionaire by Age 30 | Lucy Guo, Passes\" from EO. It's 19:19 long. The transcript is 1770 lines. I need to read it. The file is about 110KB? Wait SRT is 110KB, transcript should be a bit smaller. Let me check size and read it. Since it's long, I'll use the read tool with offset to read in chunks. But I need to read it all to understand. I can use read with no limit? Default is 20000 chars. 1770 lines could be ~100KB. Let me read it.","created_at":"2026-07-14T04:20:22.597270Z","finish_reason":"tool_calls","metrics":{"ttft_ms":720,"total_time_ms":1111,"input_tokens":1012,"output_tokens":170,"cache_read_tokens":24192,"cache_creation_tokens":null,"tpot_ms":2.3,"tokens_per_sec":434.7826086956522}},{"message_id":"bacf40bb-8809-4cb9-8c4c-2362c45d0aa4","node_id":46,"role":"tool","content":"Output from command in shell b3bdf0:\n 67382 /tmp/Do_LjDsisIE.transcript.txt\n\n\nExit code: 0","created_at":"2026-07-14T04:20:22.626550Z","finish_reason":null,"metrics":null},{"message_id":"f925293e-ce81-4469-8d9e-0d8fac7f7214","node_id":48,"role":"assistant","content":"","tool_calls":[{"id":"functions.read:7","name":"read","arguments":{"file_path":"/tmp/Do_LjDsisIE.transcript.txt","offset":1,"limit":500}}],"thinking":"67KB. Read tool default limit is 20000 chars, so I'll need to read it in multiple chunks. Let me read it all. I can read with limit 20000 at a time and offsets. But to be efficient, maybe I can use a python script to summarize? No, the rule says I need to read and understand the full transcript. But I can read it as chunks. However, as an AI, I can process the text. The tool output limit may cause issues. But I need to actually read it. Let me read the transcript in chunks. I'll use read tool.","created_at":"2026-07-14T04:20:23.843662Z","finish_reason":"tool_calls","metrics":{"ttft_ms":834,"total_time_ms":1215,"input_tokens":334,"output_tokens":162,"cache_read_tokens":25088,"cache_creation_tokens":null,"tpot_ms":2.3518518518518516,"tokens_per_sec":425.1968503937008}},{"message_id":"d3d421f6-646d-4063-8f6f-ff215f75a535","node_id":49,"role":"tool","content":"\n 1|My daily routine is essentially waking\n 2|My daily routine is essentially waking\n 3|up between like 5:30 a.m. to 6 o'clock\n 4|up between like 5:30 a.m. to 6 o'clock\n 5|up between like 5:30 a.m. to 6 o'clock\n 6|a.m. every day. And I quite literally\n 7|a.m. every day. And I quite literally\n 8|a.m. every day. And I quite literally\n 9|just roll out of bed, then I go straight\n 10|just roll out of bed, then I go straight\n 11|just roll out of bed, then I go straight\n 12|to Berries. And one thing about me is I\n 13|to Berries. And one thing about me is I\n 14|to Berries. And one thing about me is I\n 15|literally got my house specifically\n 16|literally got my house specifically\n 17|literally got my house specifically\n 18|because it's 5 minutes away from Berries\n 19|because it's 5 minutes away from Berries\n 20|because it's 5 minutes away from Berries\n 21|and 5 minutes from the office. So I can\n 22|and 5 minutes from the office. So I can\n 23|and 5 minutes from the office. So I can\n 24|reduce my commute and I don't really\n 25|reduce my commute and I don't really\n 26|reduce my commute and I don't really\n 27|need a car, which is awesome. I shower\n 28|need a car, which is awesome. I shower\n 29|need a car, which is awesome. I shower\n 30|and I hit work. Afterwards, I'm usually\n 31|and I hit work. Afterwards, I'm usually\n 32|and I hit work. Afterwards, I'm usually\n 33|just in like backtoback meetings. I try\n 34|just in like backtoback meetings. I try\n 35|just in like backtoback meetings. I try\n 36|to sometimes block off time because\n 37|to sometimes block off time because\n 38|to sometimes block off time because\n 39|[music] like I need to like be in Figma\n 40|[music] like I need to like be in Figma\n 41|[music] like I need to like be in Figma\n 42|and like actually get feedback on design\n 43|and like actually get feedback on design\n 44|and like actually get feedback on design\n 45|because I'm usually working until maybe\n 46|because I'm usually working until maybe\n 47|because I'm usually working until maybe\n 48|like 8 o'clock, nine o'clock. I'll get\n 49|like 8 o'clock, nine o'clock. I'll get\n 50|like 8 o'clock, nine o'clock. I'll get\n 51|dinner, then I'll go back to work, and\n 52|dinner, then I'll go back to work, and\n 53|dinner, then I'll go back to work, and\n 54|then um I'll fall asleep sometime\n 55|then um I'll fall asleep sometime\n 56|then um I'll fall asleep sometime\n 57|between like 11:00 p.m. to 1:00 a.m.\n 58|between like 11:00 p.m. to 1:00 a.m.\n 59|between like 11:00 p.m. to 1:00 a.m.\n 60|depending on the day, and then repeat.\n 61|depending on the day, and then repeat.\n 62|depending on the day, and then repeat.\n 63|You know, in YC, they tell you you\n 64|You know, in YC, they tell you you\n 65|You know, in YC, they tell you you\n 66|should only be doing three things, which\n 67|should only be doing three things, which\n 68|should only be doing three things, which\n 69|is like working out, talking to\n 70|is like working out, talking to\n 71|is like working out, talking to\n 72|customers, and building. I see like why\n 73|customers, and building. I see like why\n 74|customers, and building. I see like why\n 75|working out is so important because\n 76|working out is so important because\n 77|working out is so important because\n 78|[music] it puts you on a schedule, tests\n 79|[music] it puts you on a schedule, tests\n 80|[music] it puts you on a schedule, tests\n 81|your discipline. like no matter how\n 82|your discipline. like no matter how\n 83|your discipline. like no matter how\n 84|shitty I'm feeling, I will still get up\n 85|shitty I'm feeling, I will still get up\n 86|shitty I'm feeling, I will still get up\n 87|and go out and work out because I know\n 88|and go out and work out because I know\n 89|and go out and work out because I know\n 90|I'm going to feel better and have more\n 91|I'm going to feel better and have more\n 92|I'm going to feel better and have more\n 93|energy to be better at my job the rest\n 94|energy to be better at my job the rest\n 95|energy to be better at my job the rest\n 96|of the day. So why my life looks like it\n 97|of the day. So why my life looks like it\n 98|of the day. So why my life looks like it\n 99|is today, but like don't sit still\n100|is today, but like don't sit still\n101|is today, but like don't sit still\n102|essentially. I don't waste time\n103|essentially. I don't waste time\n104|essentially. I don't waste time\n105|scrolling [music] through Tik Tok,\n106|scrolling [music] through Tik Tok,\n107|scrolling [music] through Tik Tok,\n108|watching TV, watching movies, etc. And I\n109|watching TV, watching movies, etc. And I\n110|watching TV, watching movies, etc. And I\n111|think by not sitting still, I've been\n112|think by not sitting still, I've been\n113|think by not sitting still, I've been\n114|able to really be efficient with my time\n115|able to really be efficient with my time\n116|able to really be efficient with my time\n117|and [music] invest it in things that\n118|and [music] invest it in things that\n119|and [music] invest it in things that\n120|make me happy.\n121|make me happy.\n122|make me happy.\n123|Hi, I'm Lucy Glow. I am the founder of\n124|Hi, I'm Lucy Glow. I am the founder of\n125|Hi, I'm Lucy Glow. I am the founder of\n126|Scale AI and passes back in capital\n127|Scale AI and passes back in capital\n128|Scale AI and passes back in capital\n129|Capital and HFZ. I angel invest. I've\n130|Capital and HFZ. I angel invest. I've\n131|Capital and HFZ. I angel invest. I've\n132|invested in over a 100 different\n133|invested in over a 100 different\n134|invested in over a 100 different\n135|companies. Um, and I'm excited to chat\n136|companies. Um, and I'm excited to chat\n137|companies. Um, and I'm excited to chat\n138|with you guys today.\n139|with you guys today.\n140|with you guys today.\n141|I think in terms of like how it's\n142|I think in terms of like how it's\n143|I think in terms of like how it's\n144|potentially changed my life. Um, my DMs\n145|potentially changed my life. Um, my DMs\n146|potentially changed my life. Um, my DMs\n147|are popping. [laughter]\n148|are popping. [laughter]\n149|are popping. [laughter]\n150|Not life-changing, but it's been cool. I\n151|Not life-changing, but it's been cool. I\n152|Not life-changing, but it's been cool. I\n153|mean, I think overall probably just like\n154|mean, I think overall probably just like\n155|mean, I think overall probably just like\n156|what makes me happy. Um, everyone's\n157|what makes me happy. Um, everyone's\n158|what makes me happy. Um, everyone's\n159|like, \"Okay, cool. Like what are you\n160|like, \"Okay, cool. Like what are you\n161|like, \"Okay, cool. Like what are you\n162|buying with your money, etc.\" But like\n163|buying with your money, etc.\" But like\n164|buying with your money, etc.\" But like\n165|at the end of the day like what makes me\n166|at the end of the day like what makes me\n167|at the end of the day like what makes me\n168|happy is like what drives every single\n169|happy is like what drives every single\n170|happy is like what drives every single\n171|thing I do. Um whether it's like you\n172|thing I do. Um whether it's like you\n173|thing I do. Um whether it's like you\n174|know building passes because it makes me\n175|know building passes because it makes me\n176|know building passes because it makes me\n177|happy because it provides challenges in\n178|happy because it provides challenges in\n179|happy because it provides challenges in\n180|my life but I also get to like you know\n181|my life but I also get to like you know\n182|my life but I also get to like you know\n183|change people's lives. So at passes were\n184|change people's lives. So at passes were\n185|change people's lives. So at passes were\n186|building infrastructure for creators to\n187|building infrastructure for creators to\n188|building infrastructure for creators to\n189|monetize their brand. So I think when\n190|monetize their brand. So I think when\n191|monetize their brand. So I think when\n192|you look at the largest creators they\n193|you look at the largest creators they\n194|you look at the largest creators they\n195|really are like unicorns. For example\n196|really are like unicorns. For example\n197|really are like unicorns. For example\n198|Kim Kardashian built skims. Logan Paul\n199|Kim Kardashian built skims. Logan Paul\n200|Kim Kardashian built skims. Logan Paul\n201|built Prime. Mr. Beast with Fastables.\n202|built Prime. Mr. Beast with Fastables.\n203|built Prime. Mr. Beast with Fastables.\n204|I'm excited for us to eventually build a\n205|I'm excited for us to eventually build a\n206|I'm excited for us to eventually build a\n207|[music] unicorn creator.\n208|I think I got suspended from\n209|I think I got suspended from\n210|kindergarten to be quite honest. I think\n211|kindergarten to be quite honest. I think\n212|kindergarten to be quite honest. I think\n213|it came from like me telling the teacher\n214|it came from like me telling the teacher\n215|it came from like me telling the teacher\n216|that what we were learning was dumb. But\n217|that what we were learning was dumb. But\n218|that what we were learning was dumb. But\n219|if you think about it, like my parents\n220|if you think about it, like my parents\n221|if you think about it, like my parents\n222|were trying to teach me like I was going\n223|were trying to teach me like I was going\n224|were trying to teach me like I was going\n225|to like abacus competitions like\n226|to like abacus competitions like\n227|to like abacus competitions like\n228|multiplication, division, etc. back in\n229|multiplication, division, etc. back in\n230|multiplication, division, etc. back in\n231|like kindergarten. And in school they\n232|like kindergarten. And in school they\n233|like kindergarten. And in school they\n234|were literally like here's the alphabet,\n235|were literally like here's the alphabet,\n236|were literally like here's the alphabet,\n237|right? Um, and I was just very bored as\n238|right? Um, and I was just very bored as\n239|right? Um, and I was just very bored as\n240|a child. So, I was always trying to\n241|a child. So, I was always trying to\n242|a child. So, I was always trying to\n243|figure out like different things to do.\n244|figure out like different things to do.\n245|figure out like different things to do.\n246|I was like learning stuff on my own.\n247|I was like learning stuff on my own.\n248|I was like learning stuff on my own.\n249|Specifically, like the stuff I learned\n250|Specifically, like the stuff I learned\n251|Specifically, like the stuff I learned\n252|was to like make money. But eventually,\n253|was to like make money. But eventually,\n254|was to like make money. But eventually,\n255|I discovered my love for product and I\n256|I discovered my love for product and I\n257|I discovered my love for product and I\n258|was like, \"Oh, this is actually really\n259|was like, \"Oh, this is actually really\n260|was like, \"Oh, this is actually really\n261|fun.\" Um, but you could see glimpses of\n262|fun.\" Um, but you could see glimpses of\n263|fun.\" Um, but you could see glimpses of\n264|it where like, you know, I tried to\n265|it where like, you know, I tried to\n266|it where like, you know, I tried to\n267|start my own virtual pet site after\n268|start my own virtual pet site after\n269|start my own virtual pet site after\n270|being addicted to Neopets. I was playing\n271|being addicted to Neopets. I was playing\n272|being addicted to Neopets. I was playing\n273|a lot of online video games. I was\n274|a lot of online video games. I was\n275|a lot of online video games. I was\n276|figuring out how to start my own online\n277|figuring out how to start my own online\n278|figuring out how to start my own online\n279|arcade game website. I mean, I think\n280|arcade game website. I mean, I think\n281|arcade game website. I mean, I think\n282|what really shaped how I'm an\n283|what really shaped how I'm an\n284|what really shaped how I'm an\n285|entrepreneur today is that through like\n286|entrepreneur today is that through like\n287|entrepreneur today is that through like\n288|the early stages of me like making\n289|the early stages of me like making\n290|the early stages of me like making\n291|money, my parents found all of my hidden\n292|money, my parents found all of my hidden\n293|money, my parents found all of my hidden\n294|cash and would take it away. So then I\n295|cash and would take it away. So then I\n296|cash and would take it away. So then I\n297|was like, I have to like figure out how\n298|was like, I have to like figure out how\n299|was like, I have to like figure out how\n300|they don't take away cash. PayPal had\n301|they don't take away cash. PayPal had\n302|they don't take away cash. PayPal had\n303|come out and then you could just go like\n304|come out and then you could just go like\n305|come out and then you could just go like\n306|buy a Visa debit card, open up a PayPal\n307|buy a Visa debit card, open up a PayPal\n308|buy a Visa debit card, open up a PayPal\n309|account and that's when I started\n310|account and that's when I started\n311|account and that's when I started\n312|learning how to make money on the\n313|learning how to make money on the\n314|learning how to make money on the\n315|internet and then that's when I got\n316|internet and then that's when I got\n317|internet and then that's when I got\n318|curious about building my own websites\n319|curious about building my own websites\n320|curious about building my own websites\n321|and then like that kind of led to\n322|and then like that kind of led to\n323|and then like that kind of led to\n324|hackathons and then I would say like the\n325|hackathons and then I would say like the\n326|hackathons and then I would say like the\n327|turning point of like real\n328|turning point of like real\n329|turning point of like real\n330|entrepreneurship and like wanting to\n331|entrepreneurship and like wanting to\n332|entrepreneurship and like wanting to\n333|build lasting companies like more than\n334|build lasting companies like more than\n335|build lasting companies like more than\n336|just bots, right? Um was at these\n337|just bots, right? Um was at these\n338|just bots, right? Um was at these\n339|hackathons where suddenly I was exposed\n340|hackathons where suddenly I was exposed\n341|hackathons where suddenly I was exposed\n342|to startup world and I was like wow I\n343|to startup world and I was like wow I\n344|to startup world and I was like wow I\n345|can build apps that like millions of\n346|can build apps that like millions of\n347|can build apps that like millions of\n348|people use this is really really cool.\n349|people use this is really really cool.\n350|people use this is really really cool.\n351|Both my parents are absolutely\n352|Both my parents are absolutely\n353|Both my parents are absolutely\n354|brilliant. They're both technical. I\n355|brilliant. They're both technical. I\n356|brilliant. They're both technical. I\n357|think it was interesting because they\n358|think it was interesting because they\n359|think it was interesting because they\n360|actually really discouraged me from\n361|actually really discouraged me from\n362|actually really discouraged me from\n363|pursuing a technical field because they\n364|pursuing a technical field because they\n365|pursuing a technical field because they\n366|kind of imagined like my place as a\n367|kind of imagined like my place as a\n368|kind of imagined like my place as a\n369|woman was to get married and pop out\n370|woman was to get married and pop out\n371|woman was to get married and pop out\n372|grandchildren, but they still wanted me\n373|grandchildren, but they still wanted me\n374|grandchildren, but they still wanted me\n375|in an intelligent environment to find an\n376|in an intelligent environment to find an\n377|in an intelligent environment to find an\n378|intelligent partner. I think I ended up\n379|intelligent partner. I think I ended up\n380|intelligent partner. I think I ended up\n381|pursuing it almost by accident. Um, I\n382|pursuing it almost by accident. Um, I\n383|pursuing it almost by accident. Um, I\n384|thought I was going to be a chemical\n385|thought I was going to be a chemical\n386|thought I was going to be a chemical\n387|engineer because I was like like\n388|engineer because I was like like\n389|engineer because I was like like\n390|chemistry was my favorite subject. like\n391|chemistry was my favorite subject. like\n392|chemistry was my favorite subject. like\n393|I loved AP chemistry and I was very good\n394|I loved AP chemistry and I was very good\n395|I loved AP chemistry and I was very good\n396|at it. But when I I ended up on this\n397|at it. But when I I ended up on this\n398|at it. But when I I ended up on this\n399|website, College Confidential, like I\n400|website, College Confidential, like I\n401|website, College Confidential, like I\n402|need help with my college applications\n403|need help with my college applications\n404|need help with my college applications\n405|and um there's this random stranger who\n406|and um there's this random stranger who\n407|and um there's this random stranger who\n408|literally looked at my extracurriculars\n409|literally looked at my extracurriculars\n410|literally looked at my extracurriculars\n411|and it was like you're an idiot. If you\n412|and it was like you're an idiot. If you\n413|and it was like you're an idiot. If you\n414|want to get into best college, just\n415|want to get into best college, just\n416|want to get into best college, just\n417|apply for computer science and I was\n418|apply for computer science and I was\n419|apply for computer science and I was\n420|like, I guess that makes sense. So\n421|like, I guess that makes sense. So\n422|like, I guess that makes sense. So\n423|that's actually like kind of how I just\n424|that's actually like kind of how I just\n425|that's actually like kind of how I just\n426|landed in computer science. My college\n427|landed in computer science. My college\n428|landed in computer science. My college\n429|days are like I was going to a lot of\n430|days are like I was going to a lot of\n431|days are like I was going to a lot of\n432|hackathons. So [music] like you know\n433|hackathons. So [music] like you know\n434|hackathons. So [music] like you know\n435|every few weeks M hacks hack MIT quite\n436|every few weeks M hacks hack MIT quite\n437|every few weeks M hacks hack MIT quite\n438|literally every hackathon I like was\n439|literally every hackathon I like was\n440|literally every hackathon I like was\n441|[music] like I'm going to go to and then\n442|[music] like I'm going to go to and then\n443|[music] like I'm going to go to and then\n444|I made a lot of friends and I say this\n445|I made a lot of friends and I say this\n446|I made a lot of friends and I say this\n447|because like I might be biased but um\n448|because like I might be biased but um\n449|because like I might be biased but um\n450|like when I was first hiring like the\n451|like when I was first hiring like the\n452|like when I was first hiring like the\n453|first people I went to were the friends\n454|first people I went to were the friends\n455|first people I went to were the friends\n456|I made in [music] college and they\n457|I made in [music] college and they\n458|I made in [music] college and they\n459|didn't even ask any questions which is\n460|didn't even ask any questions which is\n461|didn't even ask any questions which is\n462|concerning. They definitely should have\n463|concerning. They definitely should have\n464|concerning. They definitely should have\n465|asked how much their equity [music] was\n466|asked how much their equity [music] was\n467|asked how much their equity [music] was\n468|worth, but um they were just like,\n469|worth, but um they were just like,\n470|worth, but um they were just like,\n471|\"Yeah, like we'd love to come work with\n472|\"Yeah, like we'd love to come work with\n473|\"Yeah, like we'd love to come work with\n474|you.\" YOLO. Right. And that was cuz\n475|you.\" YOLO. Right. And that was cuz\n476|you.\" YOLO. Right. And that was cuz\n477|there was that trust that was gained in\n478|there was that trust that was gained in\n479|there was that trust that was gained in\n480|[music] college. When you're building\n481|[music] college. When you're building\n482|[music] college. When you're building\n483|your next company, um your network is\n484|your next company, um your network is\n485|your next company, um your network is\n486|your net worth and like you're going to\n487|your net worth and like you're going to\n488|your net worth and like you're going to\n489|be able to hire the friends that you\n490|be able to hire the friends that you\n491|be able to hire the friends that you\n492|made in college and you know they're\n493|made in college and you know they're\n494|made in college and you know they're\n495|good.\n496|good.\n497|good.\n498|I I think if I didn't have a rebellious\n499|I I think if I didn't have a rebellious\n500|I I think if I didn't have a rebellious\n","created_at":"2026-07-14T04:20:23.903150Z","finish_reason":null,"metrics":null},{"message_id":"42768fc2-2dc7-40cc-baa7-c00dc61447c2","node_id":51,"role":"assistant","content":"","tool_calls":[{"id":"functions.read:8","name":"read","arguments":{"file_path":"/tmp/Do_LjDsisIE.en.srt","offset":1,"limit":100}}],"thinking":"I see the transcript has many duplicate lines because the SRT entries weren't de-duplicated properly. My Python script removed duplicate consecutive lines, but it seems each caption line is repeated. Actually, looking at the SRT extraction, each entry may have the same line repeated due to the SRT format? Wait, my Python script used re.split to split by blank lines, skipped first two lines, joined rest. But the output shows duplicate lines. This is because the SRT may have entries with duplicate text? Let me examine the SRT file.\n\nActually, I think the issue is that YouTube's auto-captions may have each word repeated, but more likely my parsing is wrong. Let me look at the raw SRT.","created_at":"2026-07-14T04:20:25.296726Z","finish_reason":"tool_calls","metrics":{"ttft_ms":941,"total_time_ms":1392,"input_tokens":6092,"output_tokens":188,"cache_read_tokens":25344,"cache_creation_tokens":null,"tpot_ms":2.398936170212766,"tokens_per_sec":416.85144124168517}},{"message_id":"bdf1fa0d-48fb-43ee-bd55-4290b2082396","node_id":52,"role":"tool","content":"\n 1|1\n 2|00:00:00,080 --> 00:00:01,590\n 3|\n 4|My daily routine is essentially waking\n 5|\n 6|2\n 7|00:00:01,590 --> 00:00:01,600\n 8|My daily routine is essentially waking\n 9| \n 10|\n 11|3\n 12|00:00:01,600 --> 00:00:04,150\n 13|My daily routine is essentially waking\n 14|up between like 5:30 a.m. to 6 o'clock\n 15|\n 16|4\n 17|00:00:04,150 --> 00:00:04,160\n 18|up between like 5:30 a.m. to 6 o'clock\n 19| \n 20|\n 21|5\n 22|00:00:04,160 --> 00:00:05,510\n 23|up between like 5:30 a.m. to 6 o'clock\n 24|a.m. every day. And I quite literally\n 25|\n 26|6\n 27|00:00:05,510 --> 00:00:05,520\n 28|a.m. every day. And I quite literally\n 29| \n 30|\n 31|7\n 32|00:00:05,520 --> 00:00:07,269\n 33|a.m. every day. And I quite literally\n 34|just roll out of bed, then I go straight\n 35|\n 36|8\n 37|00:00:07,269 --> 00:00:07,279\n 38|just roll out of bed, then I go straight\n 39| \n 40|\n 41|9\n 42|00:00:07,279 --> 00:00:08,950\n 43|just roll out of bed, then I go straight\n 44|to Berries. And one thing about me is I\n 45|\n 46|10\n 47|00:00:08,950 --> 00:00:08,960\n 48|to Berries. And one thing about me is I\n 49| \n 50|\n 51|11\n 52|00:00:08,960 --> 00:00:10,709\n 53|to Berries. And one thing about me is I\n 54|literally got my house specifically\n 55|\n 56|12\n 57|00:00:10,709 --> 00:00:10,719\n 58|literally got my house specifically\n 59| \n 60|\n 61|13\n 62|00:00:10,719 --> 00:00:12,310\n 63|literally got my house specifically\n 64|because it's 5 minutes away from Berries\n 65|\n 66|14\n 67|00:00:12,310 --> 00:00:12,320\n 68|because it's 5 minutes away from Berries\n 69| \n 70|\n 71|15\n 72|00:00:12,320 --> 00:00:13,990\n 73|because it's 5 minutes away from Berries\n 74|and 5 minutes from the office. So I can\n 75|\n 76|16\n 77|00:00:13,990 --> 00:00:14,000\n 78|and 5 minutes from the office. So I can\n 79| \n 80|\n 81|17\n 82|00:00:14,000 --> 00:00:15,430\n 83|and 5 minutes from the office. So I can\n 84|reduce my commute and I don't really\n 85|\n 86|18\n 87|00:00:15,430 --> 00:00:15,440\n 88|reduce my commute and I don't really\n 89| \n 90|\n 91|19\n 92|00:00:15,440 --> 00:00:17,269\n 93|reduce my commute and I don't really\n 94|need a car, which is awesome. I shower\n 95|\n 96|20\n 97|00:00:17,269 --> 00:00:17,279\n 98|need a car, which is awesome. I shower\n 99| \n","created_at":"2026-07-14T04:20:25.337899Z","finish_reason":null,"metrics":null},{"message_id":"9378ab86-d844-4ee0-b899-c9070540e81d","node_id":54,"role":"assistant","content":"","tool_calls":[{"id":"functions.exec:9","name":"exec","arguments":{"command":"cd /tmp && yt-dlp --write-auto-subs --skip-download --sub-langs en --sub-format json3 -o \"%(id)s.%(ext)s\" \"https://www.youtube.com/watch?v=Do_LjDsisIE\""}}],"thinking":"I see the issue. The SRT format has some entries with an empty line after the timing, and some entries have overlapping text. My Python script didn't handle the blank lines properly. Some entries have content on line 3 (after index, timing, blank), some have content on line 4. Also entries with very short duration (00:00:01,590 --> 00:00:01,600) contain the previous line.\n\nI need to re-parse the SRT properly. A proper SRT parser would: split entries by blank line, remove index and timing line, join remaining lines, remove HTML tags, and then deduplicate.\n\nActually, the SRT is somewhat malformed but standard. Each entry has:\n- index line\n- timing line\n- (maybe blank line)\n- text line(s)\n- (maybe blank line)\n\nBecause entries have a blank line at the start sometimes, my script skipped first two lines (index + timing) but the third line might be blank, and text might be on line 4. Also the text line is repeated in consecutive entries. I need to extract all text from each entry, then deduplicate at word/phrase level.\n\nBetter approach: Use a proper SRT parser. Python has a library? Maybe not installed. I can write a regex parser. Or simpler: use `ffmpeg` or another tool. Actually, yt-dlp has `--print` but not useful. \n\nI can use `pysrt`? Probably not installed. Let me write a proper parser.\n\nThe SRT has entries like:\n1\n00:00:00,080 --> 00:00:01,590\n\nMy daily routine is essentially waking\n\nWhere the text is after the blank line. So for each block (split by blank lines), I should:\n- split by \\n\n- remove empty lines from start and end\n- if first line is digits, remove it\n- if second line has \"-->\", remove it\n- the rest is text\n\nThen deduplicate overlapping phrases. YouTube auto-captions often have karaoke-style SRT where each new entry contains all text shown so far, with new words appended. So entries 1: \"My daily routine is essentially waking\", 3: \"My daily routine is essentially waking\\nup between like 5:30 a.m. to 6 o'clock\". Actually entry 3 has both old and new line. Entry 4 has only \"up between...\", entry 5 has old line \"up between...\" + new line \"a.m. every day...\". So the pattern is: odd entries (1,3,5...) show current phrase + new phrase? Wait:\n- Entry 1: only \"My daily routine is essentially waking\" (duration ~1.5s)\n- Entry 2: only \"My daily routine is essentially waking\" (duration 0.01s)\n- Entry 3: \"My daily routine is essentially waking\" + \"up between like 5:30 a.m. to 6 o'clock\"\n- Entry 4: only \"up between...\" (0.01s)\n- Entry 5: \"up between...\" + \"a.m. every day. And I quite literally\"\n\nSo the pattern is: entries with longer durations contain the previous line and the new line. Entries with 0.01s durations contain just the previous line (transition). \n\nTo extract proper transcript, I could:\n- For each entry, collect all text lines.\n- Then process in order, tracking previous text, and only emit new words.\n- Or use ffmpeg to convert SRT to plain text. But the result may still be duplicated.\n\nActually, a simpler robust method: since the video has a full transcription link at eomag.io, but we should use auto-generated captions. Alternatively, I can use yt-dlp to get the `json3` subtitle format and parse that. Or better, yt-dlp can extract the transcript to a single string via `--print` with subtitle? Not exactly.\n\nWait, I can use yt-dlp to get the `srv1` or `json3` format which has each caption event with start time and text. The `json3` is likely cleaner. Let me download the `json3` format and parse it.","created_at":"2026-07-14T04:20:28.309075Z","finish_reason":"tool_calls","metrics":{"ttft_ms":909,"total_time_ms":2969,"input_tokens":1316,"output_tokens":946,"cache_read_tokens":31360,"cache_creation_tokens":null,"tpot_ms":2.1775898520084565,"tokens_per_sec":459.22330097087377}},{"message_id":"79129551-00b2-43d2-a16e-2a0a82207180","node_id":55,"role":"tool","content":"Output from command in shell a4cd2a:\nWARNING: Your yt-dlp version (2025.12.08) is older than 90 days!\n It is strongly recommended to always use the latest version.\n You installed yt-dlp with pip or using the wheel from PyPi; Use that to update.\n To suppress this warning, add --no-update to your command/config.\n[youtube] Extracting URL: https://www.youtube.com/watch?v=Do_LjDsisIE\n[youtube] Do_LjDsisIE: Downloading webpage\n[youtube] Do_LjDsisIE: Downloading tv client config\n[youtube] Do_LjDsisIE: Downloading player dd53c628-main\n[youtube] Do_LjDsisIE: Downloading tv player API JSON\n[youtube] Do_LjDsisIE: Downloading android sdkless player API JSON\n[youtube] [jsc:deno] Solving JS challenges using deno\nWARNING: [youtube] [jsc] Remote components challenge solver script (deno) and NPM package (deno) were skipped. These may be required to solve JS challenges. You can enable these downloads with --remote-components ejs:github (recommended) or --remote-components ejs:npm , respectively. For more information and alternatives, refer to https://github.com/yt-dlp/yt-dlp/wiki/EJS\nWARNING: [youtube] Do_LjDsisIE: n challenge solving failed: Some formats may be missing. Ensure you have a supported JavaScript runtime and challenge solver script distribution installed. Review any warnings presented before this message. For more details, refer to https://github.com/yt-dlp/yt-dlp/wiki/EJS\n[info] Do_LjDsisIE: Downloading subtitles: en\n[info] Do_LjDsisIE: Downloading 1 format(s): 139\n[info] Writing video subtitles to: Do_LjDsisIE.en.json3\n[download] Destination: Do_LjDsisIE.en.json3\n\r[download] 1.00KiB at Unknown B/s (00:00:00)\r[download] 3.00KiB at Unknown B/s (00:00:00)\r[download] 7.00KiB at 6.29MiB/s (00:00:00)\r[download] 15.00KiB at 3.95MiB/s (00:00:00)\r[download] 31.00KiB at 2.45MiB/s (00:00:00)\r[download] 63.00KiB at 2.60MiB/s (00:00:00)\r[download] 127.00KiB at 2.83MiB/s (00:00:00)\r[download] 255.00KiB at 3.81MiB/s (00:00:00)\r[download] 438.48KiB at 4.71MiB/s (00:00:00)\r[download] 100% of 438.48KiB in 00:00:00 at 2.04MiB/s\n\n\nExit code: 0","created_at":"2026-07-14T04:20:30.745915Z","finish_reason":null,"metrics":null},{"message_id":"10917ccb-f307-434f-8ce8-be81300c2395","node_id":57,"role":"assistant","content":"","tool_calls":[{"id":"functions.read:10","name":"read","arguments":{"file_path":"/tmp/Do_LjDsisIE.en.json3","offset":1,"limit":200}}],"thinking":"Good, json3 downloaded. Let me parse it.","created_at":"2026-07-14T04:20:31.578629Z","finish_reason":"tool_calls","metrics":{"ttft_ms":737,"total_time_ms":831,"input_tokens":1705,"output_tokens":51,"cache_read_tokens":32640,"cache_creation_tokens":null,"tpot_ms":1.8431372549019607,"tokens_per_sec":542.5531914893617}},{"message_id":"5ef1f586-3fd4-41dc-bac6-8d32437e8104","node_id":58,"role":"tool","content":"\n 1|{\n 2| \"wireMagic\": \"pb3\",\n 3| \"pens\": [ {\n 4| \n 5| } ],\n 6| \"wsWinStyles\": [ {\n 7| \n 8| }, {\n 9| \"mhModeHint\": 2,\n 10| \"juJustifCode\": 0,\n 11| \"sdScrollDir\": 3\n 12| } ],\n 13| \"wpWinPositions\": [ {\n 14| \n 15| }, {\n 16| \"apPoint\": 6,\n 17| \"ahHorPos\": 20,\n 18| \"avVerPos\": 100,\n 19| \"rcRows\": 2,\n 20| \"ccCols\": 40\n 21| } ],\n 22| \"events\": [ {\n 23| \"tStartMs\": 0,\n 24| \"dDurationMs\": 1136440,\n 25| \"id\": 1,\n 26| \"wpWinPosId\": 1,\n 27| \"wsWinStyleId\": 1\n 28| }, {\n 29| \"tStartMs\": 80,\n 30| \"dDurationMs\": 4080,\n 31| \"wWinId\": 1,\n 32| \"segs\": [ {\n 33| \"utf8\": \"My\",\n 34| \"acAsrConf\": 0\n 35| }, {\n 36| \"utf8\": \" daily\",\n 37| \"tOffsetMs\": 240,\n 38| \"acAsrConf\": 0\n 39| }, {\n 40| \"utf8\": \" routine\",\n 41| \"tOffsetMs\": 480,\n 42| \"acAsrConf\": 0\n 43| }, {\n 44| \"utf8\": \" is\",\n 45| \"tOffsetMs\": 720,\n 46| \"acAsrConf\": 0\n 47| }, {\n 48| \"utf8\": \" essentially\",\n 49| \"tOffsetMs\": 960,\n 50| \"acAsrConf\": 0\n 51| }, {\n 52| \"utf8\": \" waking\",\n 53| \"tOffsetMs\": 1200,\n 54| \"acAsrConf\": 0\n 55| } ]\n 56| }, {\n 57| \"tStartMs\": 1590,\n 58| \"dDurationMs\": 2570,\n 59| \"wWinId\": 1,\n 60| \"aAppend\": 1,\n 61| \"segs\": [ {\n 62| \"utf8\": \"\\n\"\n 63| } ]\n 64| }, {\n 65| \"tStartMs\": 1600,\n 66| \"dDurationMs\": 3920,\n 67| \"wWinId\": 1,\n 68| \"segs\": [ {\n 69| \"utf8\": \"up\",\n 70| \"acAsrConf\": 0\n 71| }, {\n 72| \"utf8\": \" between\",\n 73| \"tOffsetMs\": 160,\n 74| \"acAsrConf\": 0\n 75| }, {\n 76| \"utf8\": \" like\",\n 77| \"tOffsetMs\": 400,\n 78| \"acAsrConf\": 0\n 79| }, {\n 80| \"utf8\": \" 5:30\",\n 81| \"tOffsetMs\": 640,\n 82| \"acAsrConf\": 0\n 83| }, {\n 84| \"utf8\": \" a.m.\",\n 85| \"tOffsetMs\": 1360,\n 86| \"acAsrConf\": 0\n 87| }, {\n 88| \"utf8\": \" to\",\n 89| \"tOffsetMs\": 1680,\n 90| \"acAsrConf\": 0\n 91| }, {\n 92| \"utf8\": \" 6\",\n 93| \"tOffsetMs\": 1920,\n 94| \"acAsrConf\": 0\n 95| }, {\n 96| \"utf8\": \" o'clock\",\n 97| \"tOffsetMs\": 2079,\n 98| \"acAsrConf\": 0\n 99| } ]\n100| }, {\n101| \"tStartMs\": 4150,\n102| \"dDurationMs\": 1370,\n103| \"wWinId\": 1,\n104| \"aAppend\": 1,\n105| \"segs\": [ {\n106| \"utf8\": \"\\n\"\n107| } ]\n108| }, {\n109| \"tStartMs\": 4160,\n110| \"dDurationMs\": 3119,\n111| \"wWinId\": 1,\n112| \"segs\": [ {\n113| \"utf8\": \"a.m.\",\n114| \"acAsrConf\": 0\n115| }, {\n116| \"utf8\": \" every\",\n117| \"tOffsetMs\": 159,\n118| \"acAsrConf\": 0\n119| }, {\n120| \"utf8\": \" day.\",\n121| \"tOffsetMs\": 400,\n122| \"acAsrConf\": 0\n123| }, {\n124| \"utf8\": \" And\",\n125| \"tOffsetMs\": 560,\n126| \"acAsrConf\": 0\n127| }, {\n128| \"utf8\": \" I\",\n129| \"tOffsetMs\": 720,\n130| \"acAsrConf\": 0\n131| }, {\n132| \"utf8\": \" quite\",\n133| \"tOffsetMs\": 880,\n134| \"acAsrConf\": 0\n135| }, {\n136| \"utf8\": \" literally\",\n137| \"tOffsetMs\": 1119,\n138| \"acAsrConf\": 0\n139| } ]\n140| }, {\n141| \"tStartMs\": 5510,\n142| \"dDurationMs\": 1769,\n143| \"wWinId\": 1,\n144| \"aAppend\": 1,\n145| \"segs\": [ {\n146| \"utf8\": \"\\n\"\n147| } ]\n148| }, {\n149| \"tStartMs\": 5520,\n150| \"dDurationMs\": 3440,\n151| \"wWinId\": 1,\n152| \"segs\": [ {\n153| \"utf8\": \"just\",\n154| \"acAsrConf\": 0\n155| }, {\n156| \"utf8\": \" roll\",\n157| \"tOffsetMs\": 160,\n158| \"acAsrConf\": 0\n159| }, {\n160| \"utf8\": \" out\",\n161| \"tOffsetMs\": 400,\n162| \"acAsrConf\": 0\n163| }, {\n164| \"utf8\": \" of\",\n165| \"tOffsetMs\": 560,\n166| \"acAsrConf\": 0\n167| }, {\n168| \"utf8\": \" bed,\",\n169| \"tOffsetMs\": 720,\n170| \"acAsrConf\": 0\n171| }, {\n172| \"utf8\": \" then\",\n173| \"tOffsetMs\": 1040,\n174| \"acAsrConf\": 0\n175| }, {\n176| \"utf8\": \" I\",\n177| \"tOffsetMs\": 1200,\n178| \"acAsrConf\": 0\n179| }, {\n180| \"utf8\": \" go\",\n181| \"tOffsetMs\": 1359,\n182| \"acAsrConf\": 0\n183| }, {\n184| \"utf8\": \" straight\",\n185| \"tOffsetMs\": 1520,\n186| \"acAsrConf\": 0\n187| } ]\n188| }, {\n189| \"tStartMs\": 7269,\n190| \"dDurationMs\": 1691,\n191| \"wWinId\": 1,\n192| \"aAppend\": 1,\n193| \"segs\": [ {\n194| \"utf8\": \"\\n\"\n195| } ]\n196| }, {\n197| \"tStartMs\": 7279,\n198| \"dDurationMs\": 3440,\n199| \"wWinId\": 1,\n200| \"segs\": [ {\n","created_at":"2026-07-14T04:20:31.613619Z","finish_reason":null,"metrics":null},{"message_id":"ebdad42e-1d48-4057-88c6-c0bb339c24c6","node_id":60,"role":"assistant","content":"","tool_calls":[{"id":"functions.exec:11","name":"exec","arguments":{"command":"cd /tmp && python3 -c \"\nimport json, re\nwith open('Do_LjDsisIE.en.json3') as f:\n data = json.load(f)\nout = []\nfor ev in data.get('events', []):\n for seg in ev.get('segs', []):\n txt = seg.get('utf8', '')\n if txt is None:\n continue\n out.append(txt)\ntext = ''.join(out)\n# Replace literal newlines and multiple spaces\ntext = re.sub(r' +', ' ', text)\ntext = re.sub(r'\\n+', '\\n', text)\n# Wrap long lines? Just output as-is.\nwith open('Do_LjDsisIE.clean.txt', 'w') as f:\n f.write(text)\nprint(len(text))\n\" && wc -l /tmp/Do_LjDsisIE.clean.txt && wc -c /tmp/Do_LjDsisIE.clean.txt"}}],"thinking":"The json3 format has events with segments. Each event is a word or phrase with timing. To get the transcript, I should concatenate all the `utf8` fields in order, respecting `aAppend`? Actually `aAppend: 1` indicates that the event appends to the current caption window (adds a newline). The segments within an event are the words. So I can just concatenate all `utf8` values from all events (skipping events with only newline) to get the full transcript. But I need to be careful: events with `aAppend: 1` and `\\n` are just newlines, they don't contain words. So I can iterate events and for each, iterate segs and append `utf8` if it's not just `\\n`.\n\nActually, the events seem to be per phrase or word. Concatenating all `utf8` should give a continuous transcript with line breaks where `\\n` appears. Since words already have leading spaces (e.g., \" daily\", \" routine\"), concatenating will produce readable text. Some events have `\\n` only, which adds line breaks. Some events may have actual newlines. I'll concatenate all `utf8` values and then clean up extra spaces.\n\nLet me write a Python script to parse json3 and output clean transcript.","created_at":"2026-07-14T04:20:33.391191Z","finish_reason":"tool_calls","metrics":{"ttft_ms":720,"total_time_ms":1776,"input_tokens":2134,"output_tokens":500,"cache_read_tokens":34304,"cache_creation_tokens":null,"tpot_ms":2.112,"tokens_per_sec":473.4848484848485}},{"message_id":"21d93c08-2c74-499c-9d21-84e98559f113","node_id":61,"role":"tool","content":"Output from command in shell 4d8c2c:\n22596\n 594 /tmp/Do_LjDsisIE.clean.txt\n 22596 /tmp/Do_LjDsisIE.clean.txt\n\n\nExit code: 0","created_at":"2026-07-14T04:20:33.456268Z","finish_reason":null,"metrics":null},{"message_id":"df970176-db7d-47a1-956b-282a4d026b43","node_id":63,"role":"assistant","content":"","tool_calls":[{"id":"functions.read:12","name":"read","arguments":{"file_path":"/tmp/Do_LjDsisIE.clean.txt","offset":1,"limit":200}}],"thinking":"Good, 22,596 chars, 594 lines. Much cleaner. Let me read it.","created_at":"2026-07-14T04:20:34.361426Z","finish_reason":"tool_calls","metrics":{"ttft_ms":801,"total_time_ms":903,"input_tokens":654,"output_tokens":59,"cache_read_tokens":36352,"cache_creation_tokens":null,"tpot_ms":1.728813559322034,"tokens_per_sec":578.4313725490197}},{"message_id":"7fcf776a-2092-41d3-a168-7b715bd25dd3","node_id":64,"role":"tool","content":"\n 1|My daily routine is essentially waking\n 2|up between like 5:30 a.m. to 6 o'clock\n 3|a.m. every day. And I quite literally\n 4|just roll out of bed, then I go straight\n 5|to Berries. And one thing about me is I\n 6|literally got my house specifically\n 7|because it's 5 minutes away from Berries\n 8|and 5 minutes from the office. So I can\n 9|reduce my commute and I don't really\n 10|need a car, which is awesome. I shower\n 11|and I hit work. Afterwards, I'm usually\n 12|just in like backtoback meetings. I try\n 13|to sometimes block off time because\n 14|[music] like I need to like be in Figma\n 15|and like actually get feedback on design\n 16|because I'm usually working until maybe\n 17|like 8 o'clock, nine o'clock. I'll get\n 18|dinner, then I'll go back to work, and\n 19|then um I'll fall asleep sometime\n 20|between like 11:00 p.m. to 1:00 a.m.\n 21|depending on the day, and then repeat.\n 22|You know, in YC, they tell you you\n 23|should only be doing three things, which\n 24|is like working out, talking to\n 25|customers, and building. I see like why\n 26|working out is so important because\n 27|[music] it puts you on a schedule, tests\n 28|your discipline. like no matter how\n 29|shitty I'm feeling, I will still get up\n 30|and go out and work out because I know\n 31|I'm going to feel better and have more\n 32|energy to be better at my job the rest\n 33|of the day. So why my life looks like it\n 34|is today, but like don't sit still\n 35|essentially. I don't waste time\n 36|scrolling [music] through Tik Tok,\n 37|watching TV, watching movies, etc. And I\n 38|think by not sitting still, I've been\n 39|able to really be efficient with my time\n 40|and [music] invest it in things that\n 41|make me happy.\n 42|Hi, I'm Lucy Glow. I am the founder of\n 43|Scale AI and passes back in capital\n 44|Capital and HFZ. I angel invest. I've\n 45|invested in over a 100 different\n 46|companies. Um, and I'm excited to chat\n 47|with you guys today.\n 48|I think in terms of like how it's\n 49|potentially changed my life. Um, my DMs\n 50|are popping. [laughter]\n 51|Not life-changing, but it's been cool. I\n 52|mean, I think overall probably just like\n 53|what makes me happy. Um, everyone's\n 54|like, \"Okay, cool. Like what are you\n 55|buying with your money, etc.\" But like\n 56|at the end of the day like what makes me\n 57|happy is like what drives every single\n 58|thing I do. Um whether it's like you\n 59|know building passes because it makes me\n 60|happy because it provides challenges in\n 61|my life but I also get to like you know\n 62|change people's lives. So at passes were\n 63|building infrastructure for creators to\n 64|monetize their brand. So I think when\n 65|you look at the largest creators they\n 66|really are like unicorns. For example\n 67|Kim Kardashian built skims. Logan Paul\n 68|built Prime. Mr. Beast with Fastables.\n 69|I'm excited for us to eventually build a\n 70|[music] unicorn creator.\n 71|I think I got suspended from\n 72|kindergarten to be quite honest. I think\n 73|it came from like me telling the teacher\n 74|that what we were learning was dumb. But\n 75|if you think about it, like my parents\n 76|were trying to teach me like I was going\n 77|to like abacus competitions like\n 78|multiplication, division, etc. back in\n 79|like kindergarten. And in school they\n 80|were literally like here's the alphabet,\n 81|right? Um, and I was just very bored as\n 82|a child. So, I was always trying to\n 83|figure out like different things to do.\n 84|I was like learning stuff on my own.\n 85|Specifically, like the stuff I learned\n 86|was to like make money. But eventually,\n 87|I discovered my love for product and I\n 88|was like, \"Oh, this is actually really\n 89|fun.\" Um, but you could see glimpses of\n 90|it where like, you know, I tried to\n 91|start my own virtual pet site after\n 92|being addicted to Neopets. I was playing\n 93|a lot of online video games. I was\n 94|figuring out how to start my own online\n 95|arcade game website. I mean, I think\n 96|what really shaped how I'm an\n 97|entrepreneur today is that through like\n 98|the early stages of me like making\n 99|money, my parents found all of my hidden\n100|cash and would take it away. So then I\n101|was like, I have to like figure out how\n102|they don't take away cash. PayPal had\n103|come out and then you could just go like\n104|buy a Visa debit card, open up a PayPal\n105|account and that's when I started\n106|learning how to make money on the\n107|internet and then that's when I got\n108|curious about building my own websites\n109|and then like that kind of led to\n110|hackathons and then I would say like the\n111|turning point of like real\n112|entrepreneurship and like wanting to\n113|build lasting companies like more than\n114|just bots, right? Um was at these\n115|hackathons where suddenly I was exposed\n116|to startup world and I was like wow I\n117|can build apps that like millions of\n118|people use this is really really cool.\n119|Both my parents are absolutely\n120|brilliant. They're both technical. I\n121|think it was interesting because they\n122|actually really discouraged me from\n123|pursuing a technical field because they\n124|kind of imagined like my place as a\n125|woman was to get married and pop out\n126|grandchildren, but they still wanted me\n127|in an intelligent environment to find an\n128|intelligent partner. I think I ended up\n129|pursuing it almost by accident. Um, I\n130|thought I was going to be a chemical\n131|engineer because I was like like\n132|chemistry was my favorite subject. like\n133|I loved AP chemistry and I was very good\n134|at it. But when I I ended up on this\n135|website, College Confidential, like I\n136|need help with my college applications\n137|and um there's this random stranger who\n138|literally looked at my extracurriculars\n139|and it was like you're an idiot. If you\n140|want to get into best college, just\n141|apply for computer science and I was\n142|like, I guess that makes sense. So\n143|that's actually like kind of how I just\n144|landed in computer science. My college\n145|days are like I was going to a lot of\n146|hackathons. So [music] like you know\n147|every few weeks M hacks hack MIT quite\n148|literally every hackathon I like was\n149|[music] like I'm going to go to and then\n150|I made a lot of friends and I say this\n151|because like I might be biased but um\n152|like when I was first hiring like the\n153|first people I went to were the friends\n154|I made in [music] college and they\n155|didn't even ask any questions which is\n156|concerning. They definitely should have\n157|asked how much their equity [music] was\n158|worth, but um they were just like,\n159|\"Yeah, like we'd love to come work with\n160|you.\" YOLO. Right. And that was cuz\n161|there was that trust that was gained in\n162|[music] college. When you're building\n163|your next company, um your network is\n164|your net worth and like you're going to\n165|be able to hire the friends that you\n166|made in college and you know they're\n167|good.\n168|I I think if I didn't have a rebellious\n169|nature, I probably would have been the\n170|good girl that my parents wanted me to\n171|be and stayed in college, right? And\n172|like I knew I was hurting them when\n173|going to um do this, but I think that\n174|like part of the rebellious nature was I\n175|want to prove you wrong and show you\n176|that I can forge my own path and I will\n177|be successful without college. Um so I'm\n178|sorry I'm hurting you right now, but\n179|like it'll be worth it at the end of the\n180|day. Um I don't think I ever doubted it.\n181|And what helped me commit was just\n182|[music] thinking like this is not a risk\n183|at all. Um like college is always going\n184|to be there versus this is a once in\n185|a-lifetime opportunity and [music] I'm\n186|going to be learning a lot. I feel like\n187|I'm not learning practical skills in\n188|college and everything that I've learned\n189|was through [music] like hackathons,\n190|right? So, if I leave college and I dive\n191|myself in the startup world, I am going\n192|to learn significantly more and be able\n193|to like actually build [music] products\n194|that millions of people use versus\n195|learning theoretical skills that like\n196|I'm probably not going to use in my job.\n197|Um, so I was pretty like dead set on it\n198|early on. [music] I think my conviction\n199|was to optimize learning. So, I've\n200|always like that's been my number one\n","created_at":"2026-07-14T04:20:34.396916Z","finish_reason":null,"metrics":null},{"message_id":"03005ebb-265d-4f0f-8c4d-c488dd06d266","node_id":66,"role":"assistant","content":"","tool_calls":[{"id":"functions.read:13","name":"read","arguments":{"file_path":"/tmp/Do_LjDsisIE.clean.txt","offset":200,"limit":200}}],"thinking":"Good, now I have a clean transcript. I need to read the rest to understand the full video. Let me continue reading.","created_at":"2026-07-14T04:20:35.337272Z","finish_reason":"tool_calls","metrics":{"ttft_ms":834,"total_time_ms":939,"input_tokens":2509,"output_tokens":65,"cache_read_tokens":36992,"cache_creation_tokens":null,"tpot_ms":1.6153846153846154,"tokens_per_sec":619.047619047619}},{"message_id":"109b9ec9-2006-4d73-8b61-b00fd44dd537","node_id":67,"role":"tool","content":"\n200|always like that's been my number one\n201|rule in life. Like even if you are\n202|leaving something, it feels like a risk.\n203|It's not that much of a risk if you're\n204|optimizing learning because your\n205|knowledge is always going to be worth\n206|something. And the more knowledge you\n207|gain, the more valuable you are later on\n208|in life. I think the reaction I got from\n209|most people was, \"You're a\n210|idiot.\" From my parents to my friends to\n211|like people who didn't know me. Um\n212|people were just like, [music] \"Yo, like\n213|what are you doing?\" A lot of it stem\n214|from the fact that I actually only had\n215|four CS classes left to graduate, like\n216|one year left, right? So I think the\n217|like risk mental calculation didn't\n218|really make sense [music] for others but\n219|for me I was like what am I I'm losing\n220|time right but like what's the worst\n221|case scenario I take a job what's the\n222|second worst case scenario I go back to\n223|college I chose like to [music] optimize\n224|for that learning and like optimize for\n225|being in a network of like extremely\n226|ambitious intelligent people\n227|as a founder you already know ideas are\n228|the easy part it's the execution\n229|actually building the product that slows\n230|everything down. That's where Lovable\n231|comes in. It's not just an AI tool. It's\n232|your ondemand engineering team. Simply\n233|describe your idea. Lovable then builds\n234|a full front-end, backend, and database,\n235|so you can launch real productionready\n236|software without writing code. It's\n237|already powering over a 100,000 new\n238|products a day, helping 2.5 million\n239|builders turn ideas into software just\n240|by describing what they want. No devs,\n241|no delays, no excuses.\n242|They're launching in weeks, not months.\n243|And guess [music] what? These teams are\n244|still tiny. In fact, team EO is also\n245|using Lovable to build their upcoming\n246|EOS school platform, and we're loving\n247|it. If you're a non-technical founder or\n248|just want to build without bottlenecks,\n249|try Lovable today for free. Use the\n250|promo code EO2YT to get 20% off your\n251|first purchase of the Lovable Pro plan.\n252|I think at SNAP I really learned how to\n253|think much bigger. Um, like when I first\n254|joined Snap, I didn't realize like kind\n255|of the vision Evan had for Snap. And it\n256|was very inspiring seeing like his ideas\n257|on how he would eventually compete with\n258|Amazon, um, compete with Google, etc.,\n259|which I think like no one even to this\n260|day thinks about Snap competing with\n261|Amazon or Google. But to see him think\n262|so innovatively about product and not\n263|care about like that AB test portion of\n264|things taught me just a lot about like\n265|the importance of being open-minded and\n266|like product driven as well and really\n267|about like perfection. Um I the lesson I\n268|really took away from that is like just\n269|get to 90%. You don't need to spend 3\n270|years going back and forth on a design.\n271|Um, but also like I remember there was\n272|like that zoom out the snap mapaps\n273|feature that like no one at the company\n274|wanted to build because everyone thought\n275|it was so dumb and he was just like kept\n276|on insisting it and it turns out like he\n277|was right at the end of the day, right?\n278|Um, it ended up like being a very\n279|natural UX that people love and use.\n280|That really almost tells you also that\n281|like people don't really know what they\n282|want in the consumer field, right? Like\n283|it might sound like the dumbest thing,\n284|but you really just have to like kind of\n285|give it a go. Um hence like why he was\n286|probably just like you know just\n287|thinking eventually like don't think\n288|about like all this like research\n289|feedback etc because um if he did that\n290|like that would have never been shipped\n291|but like once it got into the hands of\n292|people um they realized like oh I\n293|actually I wanted this but no one could\n294|have told [music] you that. When you\n295|come up with a product spend like 2\n296|weeks designing it and then ship it and\n297|see how it does and [music] if there's\n298|traction then go and iterate and improve\n299|on it. But people will use products they\n300|want to use even if it's super buggy and\n301|the UX is shitty for the most part. So\n302|um it's better to ship that like 90%\n303|with like no user research and then\n304|double down on the product like if it\n305|gets traction versus wasting like months\n306|doing all this research etc and shipping\n307|it and like it might [music] fall flat.\n308|I mean I would say it's like risk\n309|benefit analysis and then am I learning\n310|right? So for example like when I was at\n311|Snap I was giving up a few million\n312|dollars but I also was like that's not\n313|life-changing for me. So, I would rather\n314|optimize learning and also have the\n315|opportunity to make life-changing money.\n316|And if I don't make that life-changing\n317|money, um, at least I learned a bunch of\n318|like new knowledge and I'll be able to\n319|like hop to my next job and make more.\n320|And all I'm losing is like what, one to\n321|two years because that's the amount of\n322|time it would take to like figure out\n323|like am I going to like be able to build\n324|this company unless you're crazy. Like I\n325|have friends that like, you know,\n326|pivoted for like six years and then\n327|finally found something which like those\n328|are obviously the founders I love\n329|investing in. If I were making like a\n330|hund00 million at SNAP, like would I\n331|have made that jump? Like I'm going to\n332|be realistic. Probably not. I probably\n333|been like that's life-changing money. It\n334|is worth staying four years for $100\n335|million before moving on. Um so, um I\n336|would say like those two things are like\n337|my criteria when choosing like when to\n338|make moves.\n339|We were both working at Kora and like I\n340|think it was literally over lunch we\n341|were like, \"Huh, should we start a\n342|company together one day?\" I was like,\n343|\"Yeah, let's do it.\" And then over like\n344|winter break, we started iterating on\n345|ideas. So um we came up with a horrible\n346|one. Class passed for clubbing and you\n347|know it got traction but you know it's\n348|bad when it's only VCs that are\n349|subscribing to your service. And then we\n350|were like okay let's go do something\n351|more meaningful. So um we pivoted to Ava\n352|which is um a healthcare app that we\n353|help you find like the best doctors for\n354|specific procedures. So it's like oh you\n355|need a root canal. Here is like the best\n356|person to give you a root canal. Um,\n357|also a terrible idea, but the idea ended\n358|up getting us into YC. Um, I think\n359|mostly because I knew we were going to\n360|get into YC [music] because I was like\n361|talking to um, YC partners before the\n362|interview and after the interview and\n363|they were just like, \"Oh yeah, like\n364|you'll get in because like [music] you\n365|guys are both super smart. You're\n366|obviously at SNAP and a teal fellow and\n367|he is like you know MIT.\" So yeah, we\n368|uh, entered YC [music] and then the idea\n369|was terrible. So we ended up pivoting to\n370|scale.\n371|I think like generalized my most painful\n372|failures have been trusting people that\n373|I shouldn't have trusted which is just\n374|not great. Um especially in the\n375|workplace for example like you might\n376|trust an employee and then like when\n377|they underperform and you need to fire\n378|them they decide to try to extort you.\n379|It's just like you need to make sure\n380|that like be like you don't want people\n381|where like you constantly feel like\n382|they're going to like stab you in the\n383|back on figuring out on who to [music]\n384|trust. This is very cliche but go with\n385|your gut. Um, but outside of going with\n386|your gut, like you should definitely\n387|just do like reference checks on both\n388|like [music] friends, like people that\n389|know them or like people that aren't\n390|even friends, you know, like\n391|acquaintances cuz like you're probably\n392|going to get a more honest answer from\n393|acquaintances. [music] I think the best\n394|way to build trust again is like be\n395|extremely authentic. But at the end of\n396|the day, if like [music] trust is\n397|broken, like sometimes it can't be\n398|repaired and that's when you know that\n399|like you might just need to separate and\n","created_at":"2026-07-14T04:20:35.376427Z","finish_reason":null,"metrics":null},{"message_id":"7505685c-7dee-4ca5-bf57-ca7209d4d649","node_id":69,"role":"assistant","content":"","tool_calls":[{"id":"functions.read:14","name":"read","arguments":{"file_path":"/tmp/Do_LjDsisIE.clean.txt","offset":400,"limit":200}}],"thinking":"I see lines 200-399. This covers her principles, time at Snap, leaving Snap, co-founding Scale AI, and failures/trust. I need to continue reading to line 595.","created_at":"2026-07-14T04:20:36.344217Z","finish_reason":"tool_calls","metrics":{"ttft_ms":821,"total_time_ms":966,"input_tokens":2453,"output_tokens":80,"cache_read_tokens":39424,"cache_creation_tokens":null,"tpot_ms":1.8125,"tokens_per_sec":551.7241379310344}},{"message_id":"64ad61dd-58fc-467c-a7e9-42dfc048be2d","node_id":70,"role":"tool","content":"\n400|maturity is understanding that.\n401|I think the team self motivates themsel\n402|but it's innovation when they see that\n403|like we can ship a product in two weeks\n404|and it takes a large company like that's\n405|stagnant like years to ship a product\n406|that's extremely exciting for the team\n407|especially when like you tie that\n408|product to actual revenue numbers and I\n409|think it's just constantly emphasizing\n410|that and I think that's why a lot of\n411|engineers choose to work at startups\n412|instead of larger companies because they\n413|feel like they have more impact. Impact\n414|is what motivates them because they're\n415|not going to get that same impact at a\n416|large company. leaders need to be doing\n417|IC work as well because the only way you\n418|can judge people on like their actual\n419|job is if you do the job yourself and\n420|like really it's all hands- on deck like\n421|nothing is too big to be done. So for\n422|example like everyone was on intercom\n423|when we got a pilot for like a new\n424|customer [music] quite literally we'd\n425|have a war room with like engineers like\n426|me etc. And like we'd all be labeling\n427|that data and making sure it's perfect.\n428|We really emphasize like nothing is\n429|below you. you're going to do what's\n430|best for the company. And if like your\n431|time is best being spent like helping\n432|close this deal, then like you're going\n433|to do that. Let's say you're running\n434|customer support and you're not doing\n435|the customer support tickets yourself,\n436|you're not going [music] to know if your\n437|customer support reps are answering them\n438|fast enough, giving the correct answers\n439|or like if you know if it's not obvious\n440|answer like should they know this the\n441|answer to this or is it like something\n442|more obscure? And you really only get\n443|that like muscle if you you do the work.\n444|I think the number one thing I look for\n445|is like intelligence and hard work\n446|because you can be the smartest person\n447|ever, but if you don't work hard, you're\n448|going to not impact a company. [music]\n449|Hard work is extremely important to me,\n450|especially cuz like with creators, we're\n451|very creator first. That's our culture.\n452|Which means that like because creators\n453|can be 24/7. We need to be 24/7. [music]\n454|Like if a creator hits me up at like 2\n455|am like about a bug, I'm proud to say\n456|that I can call my engineers like and\n457|[music] one of them will pick up and fix\n458|that bug at 2 am, which is incredibly\n459|important in an industry like this. Um,\n460|and [music] I look for people that are\n461|willing to like go the extra mile.\n462|That's not saying like you have to work\n463|every weekend, but like if needed, like\n464|are you going to show up? Yeah. I mean,\n465|I think as a leader, one of my like\n466|biggest values in life is just kindness.\n467|It's like you're wanting the best for\n468|everyone, right? Like if [music] someone\n469|wins, awesome. Like if I lose an amazing\n470|engineer, um I still want to help\n471|[music] them like succeed. If I lose a\n472|crappy engineer, I still want to help\n473|them succeed. For me, I'm like I think\n474|I'm very giving as like both a person\n475|and a leader. So it's like, okay, like\n476|you know, I give you chances. I like try\n477|to you're not working out in your role,\n478|but I think that you're hardworking and\n479|smart. I try to find like a role that\n480|like you [music] might be better suited\n481|for.\n482|So I would say it was a mix of things.\n483|Um, I think what inspired me was\n484|actually living with all the founders.\n485|Like their energy definitely grew on me\n486|and I wanted these founders to start\n487|bases, but no one would do it. And\n488|around the same time, I had a friend who\n489|[music] asked me to be CEO of his AI\n490|company. And I kind of sat on it like I\n491|kind of got excited, right? I was like,\n492|\"Oh my god, like I feel ready to be a\n493|founder again.\" Uh cuz I think a lot of\n494|the reason why I wasn't I didn't do it\n495|sooner was cuz I was scared of failure.\n496|But I finally got to a point where I was\n497|like, you know what? If I fail,\n498|whatever, it doesn't matter. like my\n499|life is going to be fine. most people\n500|don't build two successful startups like\n501|don't be scared of failure and just go\n502|and [music] do the thing right and I\n503|didn't feel like doing an AI company\n504|again to be quite honest I was like I\n505|did B2B enterprise I know how it works\n506|but I would rather like if I'm doing a\n507|second company and like risking failure\n508|at least have fun doing it and I had\n509|always been attracted consumer you can\n510|see this with like a bunch of different\n511|like random apps I had made Snap was\n512|like one of the most fun experiences of\n513|my life so uh I like just knew I wanted\n514|to do consumer and I had been sitting on\n515|this idea idea for a little bit. So, I\n516|was like, \"Okay, like let's see some\n517|competitors out there.\" And really, you\n518|could only find like Patreon. [music]\n519|They've existed for a decade and I saw\n520|like an opportunity in the market. Um, I\n521|was friends with a lot of creators. Um,\n522|I lightly asked my creator friends like,\n523|\"Hey, if I were to build this, would\n524|they you use it?\" So, you know, like\n525|selling before building, they're like,\n526|\"Absolutely.\" I was like, \"Great.\" And\n527|then I just talked to my LPs and they\n528|were like, \"Here is money. Um, [music]\n529|go build.\" So, um, it all happened\n530|really quickly. like I would say within\n531|the span of like 24 hours of my friend\n532|asking [music] me to like be CEO of his\n533|AI company and me having like\n534|commitments. So the future I see for the\n535|creator economy I think that like AI is\n536|really going to help creators be [music]\n537|co-pilots. I see more creators becoming\n538|entrepreneurs. More kids want to be\n539|creators than ever before. So I think\n540|the creator economy is going to grow but\n541|also everyone like creator marketing\n542|spend is going up in like pretty much\n543|every country. And I think this is due\n544|to the fact people are realizing like\n545|their audience and like the like reach\n546|you get is much stronger spending it on\n547|creator marketing versus on ads. So,\n548|[music] I think because of this, um,\n549|we're going to see more creators work so\n550|closely with brands that they're\n551|essentially considered co-founders or\n552|start their own brands, which is why I\n553|think like unicorn creators are possible\n554|and like we're excited to help them\n555|either get access the best brands and\n556|like get that equity for long-term\n557|generational wealth or if it makes sense\n558|to like help them build that next\n559|product.\n560|I think if 20-year-old me could go back\n561|in time, I would stop complaining about\n562|some of the people I work with and just\n563|start really like getting to know them\n564|better and uplifting them. Why do I\n565|think so? Um, I think that like in\n566|general most companies are very gossipy,\n567|right? So, if you're complaining about\n568|people, like it just gets around and\n569|then it drives them away obviously\n570|because they hear about complaints like\n571|no one wants to be talked badly about.\n572|And I think like the best work\n573|environments and the most positive ones\n574|are when you are like everyone's\n575|cheerleader. So, uh I think I would have\n576|like spent more effort like seeing\n577|[music] the good in people. This is\n578|going to sound very LA, but I feel like\n579|I have like manifested everything in my\n580|life. And because I'm like focus so much\n581|on positive energy, I feel like as long\n582|as I like put in that hard work to like\n583|bring my dreams to life and like\n584|surround myself with positive people,\n585|like anything is possible. so cheesy,\n586|but I really like do believe that's\n587|true. And like I have like the best\n588|friends in the world that, you know, are\n589|constantly around me and encouraging me\n590|and like really doing whatever they can\n591|to help. Like they'll go out of my way.\n592|They're like truly incredible. And I\n593|think that like when I have like such\n594|positive people around me, like I only\n595|look at like upside\n","created_at":"2026-07-14T04:20:36.379148Z","finish_reason":null,"metrics":null},{"message_id":"ac7d4c3a-7f1f-4486-8dc9-d316c5ea8bfd","node_id":72,"role":"assistant","content":"Here is a summary of the video based on the auto-generated captions:\n\n**The One Discipline That Made Me a Billionaire by Age 30 | Lucy Guo, Passes** \n*Interview with Lucy Guo — co-founder of Scale AI, founder & CEO of Passes, angel investor.*\n\n---\n\n### Core argument\nLucy Guo attributes much of her success to one discipline: **relentless motion — never \"sitting still.\"** She structures her life to maximize productive time and learning, avoids passive entertainment, and treats physical fitness as the anchor that enforces daily discipline.\n\n### Key points\n\n**Daily routine**\n- Wakes up around 5:30–6 a.m., works out at Berries, works late (often until 8–9 p.m., with dinner and then more work), sleeps around 11 p.m.–1 a.m.\n- Chose her house to be 5 minutes from the gym and office to eliminate commute time.\n- Doesn’t scroll TikTok, watch TV, or watch movies — invests time in things that make her happy and move her forward.\n\n**Mindset & risk-taking**\n- Her #1 rule in life: **optimize for learning**. Even if a move feels risky, the knowledge gained makes it worthwhile.\n- Dropped out of Carnegie Mellon with only four CS classes left because she felt college taught theory while hackathons and startups taught practical, high-leverage skills.\n- Rebelliousness drove her to prove she could succeed without following her parents’ expected path.\n\n**From Snap to Scale AI**\n- At Snap she learned from Evan Spiegel to think much bigger, be product-driven, and ship fast to ~90% rather than over-researching.\n- Co-founded Scale AI with Alexandr Wang after they met at Quora; their YC idea pivoted from a clubbing “ClassPass” to a healthcare marketplace (Ava) and finally to Scale.\n- Cites **trust** as her most painful failure area — hiring the wrong people and dealing with extortion attempts when firing underperformers.\n\n**Building Passes**\n- After Scale, she wanted to do consumer again. Passes builds monetization infrastructure for creators, enabling them to become “unicorn creators” who launch their own brands.\n- Believes AI will act as a creator co-pilot and that creator marketing spend will keep rising, making creator-owned businesses a major opportunity.\n\n**Four leadership principles**\n1. **Impact drives people** — tie work to revenue and real outcomes; startups win because individuals can have outsized impact.\n2. **Don’t avoid IC work** — leaders must do the job themselves to judge performance and set the tone that nothing is beneath anyone.\n3. **Choose grit over genius** — intelligence matters, but hard work and willingness to go the extra mile matter more.\n4. **Be kind** — be everyone’s cheerleader, look for the good in people, and help them succeed even if they leave.\n\n**Final message**\n- If she could advise her 20-year-old self, she’d stop complaining about coworkers and instead uplift them.\n- She believes strongly in positive energy, manifestation, and surrounding herself with supportive people who help bring her ideas to life.","tool_calls":[],"thinking":"I have read the full transcript. Now I can summarize it. The user just pasted a YouTube link, so I should provide a summary. The rule says to use yt-dlp to summarize the video with autogenerated captions. I've done that. I should also not name the session, but the session naming is probably automatic? The rule says \"if asked to summarize a YouTube video, do not name the session until after reading and understanding the full YouTube video transcript\". Since I've now read the transcript, I can summarize. I don't need to explicitly name the session; that's a system thing. I should just provide a concise summary.\n\nThe video is an interview with Lucy Guo, founder of Scale AI and Passes, discussing her journey, mindset, and principles. The title: \"The One Discipline That Made Me a Billionaire by Age 30\". The key themes are:\n- Daily routine: wake up 5:30-6 AM, workout at Berries, work long hours, don't sit still, avoid time-wasters.\n- Mindset: optimize for learning, don't be the \"good girl\", take risks, rebellious nature.\n- Dropout story: left college with 4 CS classes left because she felt she learned more in the startup world.\n- Snap experience: learned to think bigger, product-driven, ship to 90%, consumer products.\n- Scale AI: co-founded with Alexandr Wang after working at Quora/Snap, pivoted from ClassPass for clubbing to Ava (healthcare) to Scale.\n- Passes: creator economy infrastructure, building a unicorn creator, AI as co-pilot.\n- Most painful failure: trusting wrong people, firing/extortion.\n- Principles:\n 1. Impact drives people (engineers choose startups for impact)\n 2. Do not avoid IC work (leaders do the job to judge and help)\n 3. Choose grit over genius (intelligence + hard work)\n 4. Be kind / everyone's cheerleader\n- Don't build if you're not obsessed.\n- Be everyone's cheerleader / positive energy.\n\nAlso there was an ad for Lovable (EO partner).\n\nI should present a summary. Keep it concise but cover main points. Use the title from the metadata and key sections.\n\nThe user didn't ask a question, just pasted the link. So I should summarize.","created_at":"2026-07-14T04:20:39.884070Z","finish_reason":"stop","metrics":{"ttft_ms":889,"total_time_ms":3503,"input_tokens":2368,"output_tokens":1141,"cache_read_tokens":41856,"cache_creation_tokens":null,"tpot_ms":2.2909728308501314,"tokens_per_sec":436.49579188982403}}]}