You are Devin, an interactive command line agent from Cognition.
Your 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
If the user asks for help, you can check your documentation by invoking the Devin skill (if available). Otherwise, this information may be helpful:
- /help: list commands
- /bug: report a bug to the Devin CLI developers
- for support, users can visit https://devin.ai/support
When creating new configuration for this tool — including skills, rules, MCP server configs, or any project settings:
- Always use the `.devin/` directory for NEW configuration (e.g. `.devin/skills/<name>/SKILL.md`, `.devin/config.json`)
- For global (user-level) configuration, use `~/.config/devin/`
- 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.
- If the `devin-cli` skill is available, ALWAYS invoke it and explore for detailed documentation on configuration format and options
When 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.
# Modes
The active mode is how the user would like you to act.
- Normal (default, if not specified): Full autonomy to use all your tools freely. For example: exploring a codebase, writing or editing code, etc.
- 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.
Adhere strictly to the constraints of the active mode to avoid frustrating the user!
# Style
## Professional Objectivity
Prioritize 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.
## Tone
- Be concise, direct, and to the point. When running commands, briefly explain what you're doing and why so the user can follow along.
- 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.
- 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.
- 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.
- Only use emojis if the user explicitly requests it. Avoid using emojis in all communication unless asked.
- 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.
- Avoid guessing. You should verify the real state of the world with your tools before answering the user's questions.
<example>
user: What command should I run to watch files in the current directory and rebuild?
assistant: [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]
assistant: npm run dev
</example>
<example>
user: what files are in the directory src/?
assistant: [runs ls and sees foo.c, bar.c, baz.c]
assistant: foo.c, bar.c, baz.c
user: which file contains the implementation of Foo?
assistant: [reads foo.c]
assistant: src/foo.c contains `struct Foo`, which implements [...]
</example>
<example>
user: can you write tests for this feature
assistant: [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]
</example>
## Proactiveness
You are allowed to be proactive, but only when the user asks you to do something. You should strive to strike a balance between:
1. Doing the right thing when asked, including taking actions and follow-up actions
2. Not surprising the user with actions you take without asking
For 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.
## Handling ambiguous requests
When a user request is unclear:
- First attempt to interpret the request using available context
- Search the codebase for related code, patterns, or documentation that clarifies intent. Also consider searching the web.
- If still uncertain after investigation, ask a focused clarifying question
## File references
When your output text references specific files or code snippets, use the `<ref_file ... />` and `<ref_snippet ... />` self-closing XML tags to create clickable citations. These tags allow the user to view the referenced code directly in the conversation.
Citation format:
- `<ref_file file="/absolute/path/to/file" />` - Reference an entire file
- `<ref_snippet file="/absolute/path/to/file" lines="start-end" />` - Reference specific lines in a file
<example>
user: Where are errors from the client handled?
assistant: Clients are marked as failed in the `connectToServer` function. <ref_snippet file="/home/ubuntu/repos/project/src/services/process.ts" lines="710-715" />
</example>
<example>
user: Can you show me the config file?
assistant: Here's the configuration file: <ref_file file="/home/ubuntu/repos/project/config.json" />
</example>
## Tool usage policy
- When webfetch returns a redirect, immediately follow it with a new request.
- When making multiple edits to the same file or related files and you already know what changes are needed, batch them together.
When 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 `<truncation_notice>` tag containing the path to the overflow file. You are responsible for reading this file if you need the full output.
# Programming
Since 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!
## Existing Conventions
When 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.
- 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.
- 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.
- 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.
- 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.
- 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.
## Code style
- 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.
- Default to writing compact code – collapse duplicate else branches, avoid unnecessary nesting, and share abstractions.
- Follow idiomatic conventions for the language you're writing.
- 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)
## Debugging
When debugging issues:
- First reproduce the problem reliably
- Trace the code path to understand the flow
- Add targeted logging or print statements to isolate the issue
- Identify the root cause before attempting fixes
- Verify the fix addresses the root cause, not just symptoms
## Workflow
You should generally prefer to implement new features or fix bugs as follows...
1. If the project has test infrastructure, write a failing test to show the bug
2. Fix the bug
3. Ensure that the test now passes
Working this way makes it easier to tell if you've actually fixed the bug, and saves you from needing to verify later.
## Git
### Creating commits
1. Run in parallel: `git status`, `git diff`, `git log` (to match commit style)
2. Draft a concise commit message focusing on "why" not "what". Check for sensitive info.
3. Stage files and commit with this format:
```
git commit -m "$(cat <<'EOF'
Commit message here.
Generated with [Devin](https://devin.ai)
Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
EOF
)"
```
4. If pre-commit hooks modify files and the commit fails, stage the modified files and retry the commit.
### Creating pull requests
Use `gh` for all GitHub operations. Run in parallel: `git status`, `git diff`, `git log`, `git diff main...HEAD`
Review ALL commits (not just latest), then create PR:
```
gh pr create --title "title" --body "$(cat <<'EOF'
## Summary
<bullet points>
#### Test plan
<checklist>
Generated with [Devin](https://devin.ai)
EOF
)"
```
### Git rules
- NEVER update git config
- NEVER use `-i` flags (interactive mode not supported)
- DO NOT push unless explicitly asked
- DO NOT commit if no changes exist
# Task Management
You 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.
This 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.
It 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.
Examples:
<example>
user: Run the build and fix any type errors
assistant: I'm going to use the todo_write tool to write the following items to the todo list:
- Run the build
- Fix any type errors
I'm now going to run the build using exec.
Looks like I found 10 type errors. I'm going to use the todo_write tool to write 10 items to the todo list.
marking the first todo as in_progress
Let me start working on the first item...
The first item has been fixed, let me mark the first todo as completed, and move on to the second item...
..
..
</example>
In the above example, the assistant completes all the tasks, including the 10 error fixes and running the build and fixing all errors.
<example>
user: Help me write a new feature that allows users to track their usage metrics and export them to various formats
assistant: I'll help you implement a usage metrics tracking and export feature. Let me first use the todo_write tool to plan this task.
Adding the following todos to the todo list:
1. Research existing metrics tracking in the codebase
2. Design the metrics collection system
3. Implement core metrics tracking functionality
4. Create export functionality for different formats
Let me start by researching the existing codebase to understand what metrics we might already be tracking and how we can build on that.
I'm going to search for any existing metrics or telemetry code in the project.
I'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...
[Assistant continues implementing the feature step by step, marking todos as in_progress and completed as they go]
</example>
Users may configure 'hooks', shell commands that execute in response to events like tool calls, in settings. Treat feedback from hooks, including <user-prompt-submit-hook>, 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.
## Completing Tasks
The 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:
- Use the todo_write tool to plan the task if required
- 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.
- 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.
- Implement the solution using all tools available to you
## Verification
Before considering a task complete, verify your work. Use judgment based on what you changed - optimize for fast iteration:
- Check for project-specific verification instructions in project rules files (`AGENTS.md`, or similar)
- Run relevant verification steps based on the scope of changes (lint, typecheck, build, tests)
- For isolated functionality, consider a temporary test file to verify behavior, then delete it
- Self-critique: review changes for edge cases and refine as needed
- If you cannot find verification commands, ask the user and suggest saving them to a project config file
## Saving learned information
If you discover useful project information (build commands, test commands, verification steps, user preferences, ...) that isn't already documented:
- If a rules file exists (`AGENTS.md`, etc.), append to it
- Otherwise, create `AGENTS.md` in the current directory with the learned information
## Error recovery
When encountering errors (failed commands, build failures, test failures):
- Keep trying different approaches to resolve the issue
- Search for similar issues in the codebase or documentation
- Only ask the user for help as a last resort after exhausting reasonable options
- Exception: Always ask the user for help with authentication issues, project configuration changes, or permission problems
## System Guidance
You may receive `<system_guidance>` 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.
# Tool Tips
## Shell
NEVER invoke `rg`, `grep`, or `find` as shell commands — use the provided search tools instead. They have been optimized for correct permissions and access.
## File-related tools
- read can read images (PNG, JPG, etc) - the contents are presented visually.
- For Jupyter notebooks (.ipynb files), use notebook_read instead of read.
- Speculatively read multiple files as a batch when potentially useful.
- Do NOT create documentation files to describe your changes or plan. Exception: persistent project info files like `AGENTS.md` are allowed.
# Safety
IMPORTANT: 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.
IMPORTANT: 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.
## Destructive Operations
NEVER perform irreversible destructive operations without explicit user confirmation for that specific action, even if you have permission to run the command. This includes:
- Deleting or truncating database tables, dropping schemas, bulk-deleting rows
- `rm -rf`, deleting directories, or removing files you did not just create
- Force-pushing, rewriting git history, deleting branches, checking out over uncommitted changes, or bypassing commit hooks
- Sending emails, making payments, or calling APIs with real-world side effects
If 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.
## Available MCP Servers (for third-party tools)
{"servers":[{"name":"cloudflare"},{"name":"cloudflare-bindings"},{"name":"cloudflare-observability"},{"name":"cloudflare-builds"},{"name":"cloudflare-docs"},{"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::<ActorAuth>' -> 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"},{"name":"playwright"}]}
IMPORTANT: 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.
Available subagent profiles for the `run_subagent` tool. Choose the most appropriate profile based on whether the task requires write access: - `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. - `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.
You are powered by SWE-1.7 Lightning.
## Parallel tool calls - 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. - 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. - 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. - Never perform dependent terminal commands or writes in parallel.
<system_info> The following information is automatically generated context about your current environment. Current workspace directories: /Users/root1 (cwd) Platform: macos OS Version: Darwin 25.6.0 Today's date: Sunday, 2026-07-12 </system_info>
<rules type="always-on">
<rule name="global_rules" path="/Users/root1/.codeium/windsurf/memories/global_rules.md">
</rule>
<rule name="AGENTS" path="/Users/root1/AGENTS.md">
# Agent Preferences
- If I ever paste in a YouTube link, use yt-dlp to summarize the video.
- get the autogenerrated captions to do this
- if asked to summarize a YouTube video, do not name the session until after reading and understanding the full YouTube video transcript
- for testing that involves urls, start with example.com rather than about:blank
- 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
- Secrets/tokens live in `~/.env` (e.g. `HF_TOKEN` for Hugging Face). Source it before use: `set -a; . ~/.env; set +a`
## Cloudflare DNS management
For Cloudflare DNS management (adding/editing/deleting DNS records), use the **`cf` CLI** instead of `wrangler`.
Wrangler does not have DNS management capabilities, and its OAuth token doesn't work with the Cloudflare REST API for DNS operations.
### Usage
```bash
# Check authentication status
cf auth whoami
# List DNS records for a zone
cf dns records list -z aidenhuang.com
# Add a DNS record
cf dns records create -z aidenhuang.com --type CNAME --name devin --content "target.example.com" --proxied false
# Delete a DNS record
cf dns records delete -z aidenhuang.com <record-id>
```
The `cf` CLI uses the same OAuth authentication as `wrangler` and has proper DNS record permissions.
## File search via fff MCP
For any file search or grep in the current git-indexed project directory, prefer the **fff** MCP tools
(`mcp__fff__grep`, `mcp__fff__find_files`, `mcp__fff__multi_grep`) over the built-in grep/glob tools.
fff is frecency-ranked, git-aware, and more token-efficient.
Rules the fff server enforces (follow them to avoid 0-result queries):
- Search BARE IDENTIFIERS only — one identifier per `grep` query. No `load.*metadata.*Foo` style regex.
- Don't use regex unless you truly need alternation; `.*`, `\d+`, `\s+` almost always return 0 results.
- After 2 grep calls, stop and READ the top result instead of grepping with more variations.
- Use `multi_grep` for OR logic across multiple identifiers (e.g. snake_case + PascalCase variants) in one call.
- Have a specific name → `grep`. Exploring a topic / finding files → `find_files`.
The `fff-mcp` binary lives at `/Users/root1/.local/bin/fff-mcp` and is registered at user scope
in `~/.config/devin/config.json`. It refuses to run in `$HOME` or `/` — it must be launched from a
project directory (Devin does this automatically based on cwd). Update with:
`curl -fsSL https://raw.githubusercontent.com/dmtrKovalenko/fff.nvim/main/install-mcp.sh | bash`
## X/Twitter scraping via logged-in browser session
When I need to scrape X/Twitter data (following, followers, tweets, user info, etc.),
the cleanest path is to use the **Playwright MCP** browser session with my own logged-in
x.com account, rather than spinning up twscrape's account-pool flow. twscrape needs the
`auth_token` HttpOnly cookie which JS cannot read from `document.cookie`; the browser
session attaches all cookies automatically.
### Flow
1. `mcp_list_tools` on the `playwright` server, then `browser_navigate` to `https://x.com`.
2. If not logged in, ask me to log in manually in the opened window (don't handle my password).
3. Once on `https://x.com/home`, read `ct0` from `document.cookie`:
`document.cookie.match(/ct0=([^;]+)/)[1]`
4. Call X's GraphQL endpoints directly via `fetch()` inside `browser_evaluate`. Required headers:
- `authorization: Bearer AAAAAAAAAAAAAAAAAAAAANRILgAAAAAAnNwIzUejRCOuH5E6I8xnZz4puTs%3D1Zv7ttfk8LF81IUq16cHjhLTvJu4FA33AGWWjCpTnA` (the public web-app bearer token)
- `x-csrf-token: <ct0>`
- `x-twitter-auth-type: OAuth2Session`
- `x-twitter-active-user: yes`
- `content-type: application/json`
5. Paginate timelines by reading `content.cursorType === "Bottom"` entries and passing
the value back as `variables.cursor` until it stops changing.
### Key endpoints (queryId/OperationName)
- `UserByScreenName` → `681MIj51w00Aj6dY0GXnHw` (resolve @handle → numeric rest_id)
- `Following` → `OLm4oHZBfqWx8jbcEhWoFw`
- `Followers` → `9jsVJ9l2uXUIKslHvJqIhw`
- `UserTweets` → `RyDU3I9VJtPF-Pnl6vrRlw`
- `SearchTimeline` → `yIphfmxUO-hddQHKIOk9tA`
- `TweetDetail` → `meGUdoK_ryVZ0daBK-HJ2g`
URL pattern: `https://x.com/i/api/graphql/<queryId>/<OpName>?variables=<enc>&features=<enc>`
### Response schema notes (current X web build)
- User objects now put `screen_name` / `name` under `core`, NOT `legacy.screen_name`.
twscrape's parser still reads `legacy.screen_name` and returns empty — needs updating.
- The user `id` field is base64-encoded like `VXNlcjoxNDYwMjgzOTI1` (= `User:1460283925`).
Decode with `atob(u.id).split(':')[1]` to get the numeric rest_id. `u.rest_id` may also
be present directly.
- `is_blue_verified` is the verified flag. `legacy.followers_count`, `legacy.description`
still exist under `legacy`.
- Filter timeline entries by `content.entryType === "TimelineTimelineItem"` and skip
`cursor-`, `messageprompt-`, `module-`, `who-to-follow-` entryIds.
### Features dict
Use the full `GQL_FEATURES` block from twscrape's `api.py` — without it X returns
`(336) The following features cannot be null`. Pass it URL-encoded as the `features` param.
### Where things live
- Output CSV: `~/Downloads/utilities/sdand_following.csv` (1613 rows: #, id, screen_name, name, verified, followers, bio)
- Output JSON: `~/Downloads/utilities/sdand_following_final.json` (double-encoded JSON string; parse with `json.loads(json.loads(raw))`)
- 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.
## Fast Whisper transcription on Modal (A10G)
For transcribing long-form audio/video (interviews, podcasts, X/Twitter videos), use the
utility at `~/Downloads/utilities/whisper_x/whisper_transcribe.py`. It does the full
pipeline: URL → yt-dlp download → ffmpeg audio extract → Modal volume upload →
faster-whisper on A10G → JSON + TXT output. Validated at **2.3 min wall clock for 65 min
of audio** (no caching at any layer).
### Usage
Shell alias (defined in `~/.zshrc`): `whisper`
```bash
# Transcribe an X/Twitter video (picks first playlist item)
whisper "https://x.com/.../status/123"
# Pick a specific playlist item, use a smaller model
whisper "https://x.com/..." --playlist-item 2 --model-size medium
# Transcribe a local audio file
whisper /path/to/audio.mp3 --name my-podcast
# Custom output dir + keep downloaded source
whisper "https://..." --outdir ./transcripts --keep-source
```
Transcript text goes to stdout (pipe with `| pbcopy`); structured JSON + readable TXT
saved to `<outdir>/<name>.json` and `<outdir>/<name>.txt`.
### Key optimizations (vs naive T4 run that took 11.7 min)
- **A10G GPU** (~8x fp16 throughput vs T4; Modal ~$0.60/hr vs ~$0.16/hr — pennies for short jobs)
- **`BatchedInferencePipeline`** with `batch_size=16` — batches encoder/decoder across chunks (2-4x)
- **`beam_size=1`** (greedy) — ~2x faster, negligible WER increase for conversational speech
- **`vad_filter=True`** — skips silence segments
- **`compute_type="float16"`** — halves memory bandwidth
- **No caching**: `force_build=True` on apt/pip steps + unique `download_root` per run forces
fresh image rebuild + fresh HF model download every time
### Pinned versions (must match)
- `faster-whisper==1.1.1` (provides `BatchedInferencePipeline`)
- `ctranslate2==4.8.0`
- Base image: `nvidia/cuda:12.6.3-cudnn-runtime-ubuntu22.04` (provides `libcublas.so.12`;
`debian_slim` fails with `RuntimeError: Library libcublas.so.12 is not found`)
### Audio prep (done automatically by the utility)
```bash
ffmpeg -y -i input.mp4 -vn -ac 1 -ar 16000 -c:a aac -b:a 64k audio.m4a
```
Mono 16kHz 64kbps AAC — a 65-min video (151 MB stream) becomes ~35 MB audio.
### X/Twitter download notes
- Tweet URLs can contain **playlists** (multiple videos). Use `--playlist-item N` to pick one.
- Always use `-f bestaudio/best` to avoid downloading multi-GB high-bitrate video streams.
- A 65-min interview's video variant can be 2.8+ GB; audio-only is ~63 MB (128 kbps).
### Where things live
- Utility: `~/Downloads/utilities/whisper_x/whisper_transcribe.py`
- Strategy doc: `~/Downloads/utilities/whisper_x/STRATEGY.md` (full optimization breakdown)
- Modal app (standalone): `~/Downloads/utilities/whisper_x/transcribe_fast.py`
- Modal volume: `whisper-audio` (created automatically; holds uploaded audio files)
- Modal profile: `aidenhuang-personal` (workspace with GPU access)
</rule>
</rules><available_skills> The 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. - **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/.codeium/windsurf/skills/agents-sdk/SKILL.md) - **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) - **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/.agents/skills/workers-best-practices/SKILL.md) - **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) - **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) - **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) - **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/.codeium/windsurf/skills/wrangler/SKILL.md) - **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/.claude/skills/turnstile-spin/SKILL.md) - **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/.agents/skills/sandbox-sdk/SKILL.md) - **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/.agents/skills/cloudflare-one-migrations/SKILL.md) - **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) - **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) - **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) - **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) - **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) - **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) - **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/.claude/skills/cloudflare-one/SKILL.md) - **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/.agents/skills/cloudflare/SKILL.md) - **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) - **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) - **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/.claude/skills/cloudflare-email-service/SKILL.md) - **cloudflare-agent-setup**: (source: /Users/root1/.devin/skills/cloudflare-agent-setup/SKILL.md) - **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) - **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) - **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) - **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) - **declarative-repo-setup**: Generate and verify a working environment.yaml (Devin snapshot-setup blueprint) for a repo (source: builtin:drs) </available_skills>
The user shared a YouTube link. According to the AGENTS.md rule: "If I ever paste in a YouTube link, use yt-dlp to summarize the video. get the autogenerated captions to do this. if asked to summarize a YouTube video, do not name the session until after reading and understanding the full YouTube video transcript" So I need to summarize the video. I should use yt-dlp to download the auto-generated captions and then summarize them. No skill directly matches this - it's an ad-hoc task. I should not name the session until after reading and understanding the full transcript. Let me use yt-dlp to get the transcript. First I need to check if yt-dlp is installed, and if not maybe install it. Then download the captions. I need to: 1. Check yt-dlp availability 2. Get video info / download subtitles 3. Read transcript 4. Summarize 5. Name session (after understanding transcript) Let me start by checking if yt-dlp is available and get info about the video.
I'll download the auto-generated captions for this YouTube video and summarize them.
{
"command": "which yt-dlp || echo \"yt-dlp not found\""
}Output from command in shell be4057: /Library/Frameworks/Python.framework/Versions/3.12/bin/yt-dlp Exit code: 0
yt-dlp is installed. Now let me download the auto-generated captions. I'll use yt-dlp to list available subtitles and download them. For auto-generated captions, I need to use `--write-auto-subs` or `--list-subs` to see what's available. The URL is: https://www.youtube.com/watch?v=071TuF7Z90Y&pp=ugUHEgVlbi1VUw%3D%3D Let me list the available subtitles first.
{
"command": "yt-dlp --list-subs --skip-download \"https://www.youtube.com/watch?v=071TuF7Z90Y&pp=ugUHEgVlbi1VUw%3D%3D\"",
"timeout": 60000
}Output from command in shell 2c3717:
WARNING: Your yt-dlp version (2025.12.08) is older than 90 days!
It is strongly recommended to always use the latest version.
You installed yt-dlp with pip or using the wheel from PyPi; Use that to update.
To suppress this warning, add --no-update to your command/config.
[youtube] Extracting URL: https://www.youtube.com/watch?v=071TuF7Z90Y&pp=ugUHEgVlbi1VUw%3D%3D
[youtube] 071TuF7Z90Y: Downloading webpage
[youtube] 071TuF7Z90Y: Downloading tv client config
[youtube] 071TuF7Z90Y: Downloading player 66a6ea83-main
[youtube] 071TuF7Z90Y: Downloading tv player API JSON
[youtube] 071TuF7Z90Y: Downloading android sdkless player API JSON
[youtube] [jsc:deno] Solving JS challenges using deno
WARNING: [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
WARNING: [youtube] 071TuF7Z90Y: 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
[info] Available automatic captions for 071TuF7Z90Y:
Language Name Formats
ab Abkhazian vtt, srt, ttml, srv3, srv2, srv1, json3
aa Afar vtt, srt, ttml, srv3, srv2, srv1, json3
af Afrikaans vtt, srt, ttml, srv3, srv2, srv1, json3
ak Akan vtt, srt, ttml, srv3, srv2, srv1, json3
sq Albanian vtt, srt, ttml, srv3, srv2, srv1, json3
am Amharic vtt, srt, ttml, srv3, srv2, srv1, json3
ar Arabic vtt, srt, ttml, srv3, srv2, srv1, json3
hy Armenian vtt, srt, ttml, srv3, srv2, srv1, json3
as Assamese vtt, srt, ttml, srv3, srv2, srv1, json3
ay Aymara vtt, srt, ttml, srv3, srv2, srv1, json3
az Azerbaijani vtt, srt, ttml, srv3, srv2, srv1, json3
bn Bangla vtt, srt, ttml, srv3, srv2, srv1, json3
ba Bashkir vtt, srt, ttml, srv3, srv2, srv1, json3
eu Basque vtt, srt, ttml, srv3, srv2, srv1, json3
be Belarusian vtt, srt, ttml, srv3, srv2, srv1, json3
bho Bhojpuri vtt, srt, ttml, srv3, srv2, srv1, json3
bs Bosnian vtt, srt, ttml, srv3, srv2, srv1, json3
br Breton vtt, srt, ttml, srv3, srv2, srv1, json3
bg Bulgarian vtt, srt, ttml, srv3, srv2, srv1, json3
my Burmese vtt, srt, ttml, srv3, srv2, srv1, json3
ca Catalan vtt, srt, ttml, srv3, srv2, srv1, json3
ceb Cebuano vtt, srt, ttml, srv3, srv2, srv1, json3
zh-Hans Chinese (Simplified) vtt, srt, ttml, srv3, srv2, srv1, json3
zh-Hant Chinese (Traditional) vtt, srt, ttml, srv3, srv2, srv1, json3
co Corsican vtt, srt, ttml, srv3, srv2, srv1, json3
hr Croatian vtt, srt, ttml, srv3, srv2, srv1, json3
cs Czech vtt, srt, ttml, srv3, srv2, srv1, json3
da Danish vtt, srt, ttml, srv3, srv2, srv1, json3
dv Divehi vtt, srt, ttml, srv3, srv2, srv1, json3
nl Dutch vtt, srt, ttml, srv3, srv2, srv1, json3
dz Dzongkha vtt, srt, ttml, srv3, srv2, srv1, json3
en-orig English (Original) vtt, srt, ttml, srv3, srv2, srv1, json3
en English vtt, srt, ttml, srv3, srv2, srv1, json3
eo Esperanto vtt, srt, ttml, srv3, srv2, srv1, json3
et Estonian vtt, srt, ttml, srv3, srv2, srv1, json3
ee Ewe vtt, srt, ttml, srv3, srv2, srv1, json3
fo Faroese vtt, srt, ttml, srv3, srv2, srv1, json3
fj Fijian vtt, srt, ttml, srv3, srv2, srv1, json3
fil Filipino vtt, srt, ttml, srv3, srv2, srv1, json3
fi Finnish vtt, srt, ttml, srv3, srv2, srv1, json3
fr French vtt, srt, ttml, srv3, srv2, srv1, json3
gaa Ga vtt, srt, ttml, srv3, srv2, srv1, json3
gl Galician vtt, srt, ttml, srv3, srv2, srv1, json3
lg Ganda vtt, srt, ttml, srv3, srv2, srv1, json3
ka Georgian vtt, srt, ttml, srv3, srv2, srv1, json3
de German vtt, srt, ttml, srv3, srv2, srv1, json3
el Greek vtt, srt, ttml, srv3, srv2, srv1, json3
gn Guarani vtt, srt, ttml, srv3, srv2, srv1, json3
gu Gujarati vtt, srt, ttml, srv3, srv2, srv1, json3
ht Haitian Creole vtt, srt, ttml, srv3, srv2, srv1, json3
ha Hausa vtt, srt, ttml, srv3, srv2, srv1, json3
haw Hawaiian vtt, srt, ttml, srv3, srv2, srv1, json3
iw Hebrew vtt, srt, ttml, srv3, srv2, srv1, json3
hi Hindi vtt, srt, ttml, srv3, srv2, srv1, json3
hmn Hmong vtt, srt, ttml, srv3, srv2, srv1, json3
hu Hungarian vtt, srt, ttml, srv3, srv2, srv1, json3
is Icelandic vtt, srt, ttml, srv3, srv2, srv1, json3
ig Igbo vtt, srt, ttml, srv3, srv2, srv1, json3
id Indonesian vtt, srt, ttml, srv3, srv2, srv1, json3
iu Inuktitut vtt, srt, ttml, srv3, srv2, srv1, json3
ga Irish vtt, srt, ttml, srv3, srv2, srv1, json3
it Italian vtt, srt, ttml, srv3, srv2, srv1, json3
ja Japanese vtt, srt, ttml, srv3, srv2, srv1, json3
jv Javanese vtt, srt, ttml, srv3, srv2, srv1, json3
kl Kalaallisut vtt, srt, ttml, srv3, srv2, srv1, json3
kn Kannada vtt, srt, ttml, srv3, srv2, srv1, json3
kk Kazakh vtt, srt, ttml, srv3, srv2, srv1, json3
kha Khasi vtt, srt, ttml, srv3, srv2, srv1, json3
km Khmer vtt, srt, ttml, srv3, srv2, srv1, json3
rw Kinyarwanda vtt, srt, ttml, srv3, srv2, srv1, json3
ko Korean vtt, srt, ttml, srv3, srv2, srv1, json3
kri Krio vtt, srt, ttml, srv3, srv2, srv1, json3
ku Kurdish vtt, srt, ttml, srv3, srv2, srv1, json3
ky Kyrgyz vtt, srt, ttml, srv3, srv2, srv1, json3
lo Lao vtt, srt, ttml, srv3, srv2, srv1, json3
la Latin vtt, srt, ttml, srv3, srv2, srv1, json3
lv Latvian vtt, srt, ttml, srv3, srv2, srv1, json3
ln Lingala vtt, srt, ttml, srv3, srv2, srv1, json3
lt Lithuanian vtt, srt, ttml, srv3, srv2, srv1, json3
lua Luba-Lulua vtt, srt, ttml, srv3, srv2, srv1, json3
luo Luo vtt, srt, ttml, srv3, srv2, srv1, json3
lb Luxembourgish vtt, srt, ttml, srv3, srv2, srv1, json3
mk Macedonian vtt, srt, ttml, srv3, srv2, srv1, json3
mg Malagasy vtt, srt, ttml, srv3, srv2, srv1, json3
ms Malay vtt, srt, ttml, srv3, srv2, srv1, json3
ml Malayalam vtt, srt, ttml, srv3, srv2, srv1, json3
mt Maltese vtt, srt, ttml, srv3, srv2, srv1, json3
gv Manx vtt, srt, ttml, srv3, srv2, srv1, json3
mi Māori vtt, srt, ttml, srv3, srv2, srv1, json3
mr Marathi vtt, srt, ttml, srv3, srv2, srv1, json3
mn Mongolian vtt, srt, ttml, srv3, srv2, srv1, json3
mfe Morisyen vtt, srt, ttml, srv3, srv2, srv1, json3
ne Nepali vtt, srt, ttml, srv3, srv2, srv1, json3
new Newari vtt, srt, ttml, srv3, srv2, srv1, json3
nso Northern Sotho vtt, srt, ttml, srv3, srv2, srv1, json3
no Norwegian vtt, srt, ttml, srv3, srv2, srv1, json3
ny Nyanja vtt, srt, ttml, srv3, srv2, srv1, json3
oc Occitan vtt, srt, ttml, srv3, srv2, srv1, json3
or Odia vtt, srt, ttml, srv3, srv2, srv1, json3
om Oromo vtt, srt, ttml, srv3, srv2, srv1, json3
os Ossetic vtt, srt, ttml, srv3, srv2, srv1, json3
pam Pampanga vtt, srt, ttml, srv3, srv2, srv1, json3
ps Pashto vtt, srt, ttml, srv3, srv2, srv1, json3
fa Persian vtt, srt, ttml, srv3, srv2, srv1, json3
pl Polish vtt, srt, ttml, srv3, srv2, srv1, json3
pt Portuguese vtt, srt, ttml, srv3, srv2, srv1, json3
pt-PT Portuguese (Portugal) vtt, srt, ttml, srv3, srv2, srv1, json3
pa Punjabi vtt, srt, ttml, srv3, srv2, srv1, json3
qu Quechua vtt, srt, ttml, srv3, srv2, srv1, json3
ro Romanian vtt, srt, ttml, srv3, srv2, srv1, json3
rn Rundi vtt, srt, ttml, srv3, srv2, srv1, json3
ru Russian vtt, srt, ttml, srv3, srv2, srv1, json3
sm Samoan vtt, srt, ttml, srv3, srv2, srv1, json3
sg Sango vtt, srt, ttml, srv3, srv2, srv1, json3
sa Sanskrit vtt, srt, ttml, srv3, srv2, srv1, json3
gd Scottish Gaelic vtt, srt, ttml, srv3, srv2, srv1, json3
sr Serbian vtt, srt, ttml, srv3, srv2, srv1, json3
crs Seselwa Creole French vtt, srt, ttml, srv3, srv2, srv1, json3
sn Shona vtt, srt, ttml, srv3, srv2, srv1, json3
sd Sindhi vtt, srt, ttml, srv3, srv2, srv1, json3
si Sinhala vtt, srt, ttml, srv3, srv2, srv1, json3
sk Slovak vtt, srt, ttml, srv3, srv2, srv1, json3
sl Slovenian vtt, srt, ttml, srv3, srv2, srv1, json3
so Somali vtt, srt, ttml, srv3, srv2, srv1, json3
st Southern Sotho vtt, srt, ttml, srv3, srv2, srv1, json3
es Spanish vtt, srt, ttml, srv3, srv2, srv1, json3
su Sundanese vtt, srt, ttml, srv3, srv2, srv1, json3
sw Swahili vtt, srt, ttml, srv3, srv2, srv1, json3
ss Swati vtt, srt, ttml, srv3, srv2, srv1, json3
sv Swedish vtt, srt, ttml, srv3, srv2, srv1, json3
tg Tajik vtt, srt, ttml, srv3, srv2, srv1, json3
ta Tamil vtt, srt, ttml, srv3, srv2, srv1, json3
tt Tatar vtt, srt, ttml, srv3, srv2, srv1, json3
te Telugu vtt, srt, ttml, srv3, srv2, srv1, json3
th Thai vtt, srt, ttml, srv3, srv2, srv1, json3
bo Tibetan vtt, srt, ttml, srv3, srv2, srv1, json3
ti Tigrinya vtt, srt, ttml, srv3, srv2, srv1, json3
to Tongan vtt, srt, ttml, srv3, srv2, srv1, json3
ts Tsonga vtt, srt, ttml, srv3, srv2, srv1, json3
tn Tswana vtt, srt, ttml, srv3, srv2, srv1, json3
tum Tumbuka vtt, srt, ttml, srv3, srv2, srv1, json3
tr Turkish vtt, srt, ttml, srv3, srv2, srv1, json3
tk Turkmen vtt, srt, ttml, srv3, srv2, srv1, json3
uk Ukrainian vtt, srt, ttml, srv3, srv2, srv1, json3
ur Urdu vtt, srt, ttml, srv3, srv2, srv1, json3
ug Uyghur vtt, srt, ttml, srv3, srv2, srv1, json3
uz Uzbek vtt, srt, ttml, srv3, srv2, srv1, json3
ve Venda vtt, srt, ttml, srv3, srv2, srv1, json3
vi Vietnamese vtt, srt, ttml, srv3, srv2, srv1, json3
war Waray vtt, srt, ttml, srv3, srv2, srv1, json3
cy Welsh vtt, srt, ttml, srv3, srv2, srv1, json3
fy Western Frisian vtt, srt, ttml, srv3, srv2, srv1, json3
wo Wolof vtt, srt, ttml, srv3, srv2, srv1, json3
xh Xhosa vtt, srt, ttml, srv3, srv2, srv1, json3
yi Yiddish vtt, srt, ttml, srv3, srv2, srv1, json3
yo Yoruba vtt, srt, ttml, srv3, srv2, srv1, json3
zu Zulu vtt, srt, ttml, srv3, srv2, srv1, json3
071TuF7Z90Y has no subtitles
Exit code: 0There are automatic captions available. I'll download the English (en) automatic captions as SRT and maybe also the original English (en-orig). Let me download auto-generated English captions. I should save them to a temp file. I need to be careful about where to save. The current working directory is /Users/root1. I can create a temp file there or use a temp directory. Let me use a temp directory. But first check if /tmp exists or just use current directory. I'll download only the subtitles (no video) using --skip-download --write-auto-subs --sub-langs en. The output will be something like "071TuF7Z90Y.en.srt". Let me put it in /tmp or a subdirectory. I'll use /tmp/yt-captions.
{
"command": "mkdir -p /tmp/yt-captions && cd /tmp/yt-captions && yt-dlp --no-update --skip-download --write-auto-subs --sub-langs en --convert-subs srt --output \"%(id)s.%(ext)s\" \"https://www.youtube.com/watch?v=071TuF7Z90Y&pp=ugUHEgVlbi1VUw%3D%3D\"",
"timeout": 120000
}Output from command in shell db8282: [youtube] Extracting URL: https://www.youtube.com/watch?v=071TuF7Z90Y&pp=ugUHEgVlbi1VUw%3D%3D [youtube] 071TuF7Z90Y: Downloading webpage [youtube] 071TuF7Z90Y: Downloading tv client config [youtube] 071TuF7Z90Y: Downloading player 66a6ea83-main [youtube] 071TuF7Z90Y: Downloading tv player API JSON [youtube] 071TuF7Z90Y: Downloading android sdkless player API JSON [youtube] [jsc:deno] Solving JS challenges using deno WARNING: [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 WARNING: [youtube] 071TuF7Z90Y: 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 [info] 071TuF7Z90Y: Downloading subtitles: en [info] 071TuF7Z90Y: Downloading 1 format(s): 139-20 [info] Writing video subtitles to: 071TuF7Z90Y.en.vtt [download] Destination: 071TuF7Z90Y.en.vtt [download] 1.00KiB at Unknown B/s (00:00:00) [download] 3.00KiB at Unknown B/s (00:00:00) [download] 7.00KiB at 6.42MiB/s (00:00:00) [download] 15.00KiB at 4.36MiB/s (00:00:00) [download] 31.00KiB at 950.30KiB/s (00:00:00) [download] 63.00KiB at 1.48MiB/s (00:00:00) [download] 127.00KiB at 2.01MiB/s (00:00:00) [download] 128.70KiB at 2.03MiB/s (00:00:00) [download] 100% of 128.70KiB in 00:00:00 at 705.50KiB/s [SubtitlesConvertor] Converting subtitles Deleting original file 071TuF7Z90Y.en.vtt (pass -k to keep) Exit code: 0
Subtitles downloaded. Now I need to read them. Let me check the file and read it.
{
"command": "ls -la /tmp/yt-captions"
}{
"command": "wc -l /tmp/yt-captions/071TuF7Z90Y.en.srt"
}Output from command in shell 47027b: total 136 drwxr-xr-x 3 root1 wheel 96 Jul 12 23:57 . drwxrwxrwt 26 root wheel 832 Jul 12 23:57 .. -rw-r--r-- 1 root1 wheel 69197 Jul 12 23:57 071TuF7Z90Y.en.srt Exit code: 0
Output from command in shell 67c932:
3745 /tmp/yt-captions/071TuF7Z90Y.en.srt
Exit code: 0The SRT file is about 69KB and 3745 lines. I need to read and understand the full transcript. Since the file might be long, I'll read it. It should be under the 20000 char read limit? 69KB = ~69,000 chars, which exceeds the 20,000 read limit. I'll need to read it in chunks or extract text only. I should extract just the text content (not timestamps/numbers) into a cleaned transcript, then read it in chunks. Actually, I can read the file in parts using read tool with offset/limit, or I can use a command to clean it and then read it. Better: create a cleaned text file with just the caption text, then read it. But 69KB is still > 20KB. The read tool limit is 20,000 chars. I need to process it in chunks or summarize programmatically. Actually, the rule says to "read and understand the full YouTube video transcript". I need to read it all. Let me clean the SRT first to just text, removing duplicates and timestamps. Then I can read it in chunks. But I should also know the video title and metadata to understand context. Let me get video metadata first.
{
"command": "yt-dlp --no-update --skip-download --print \"title:%(title)s\\nchannel:%(uploader)s\\nduration:%(duration_string)s\" \"https://www.youtube.com/watch?v=071TuF7Z90Y&pp=ugUHEgVlbi1VUw%3D%3D\"",
"timeout": 60000
}Output from command in shell a7fd1e: WARNING: [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 WARNING: [youtube] 071TuF7Z90Y: 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 title:Is the $6,000 Herman Miller Eames Executive Actually Worth It?\nchannel:Ahnestly\nduration:11:43 Exit code: 0
Video title: "Is the $6,000 Herman Miller Eames Executive Actually Worth It?" by Ahnestly, duration 11:43. Now I need to clean and read the transcript. Let me create a cleaned text version. SRT format has: 1 00:00:00,000 --> 00:00:05,000 Text line 1 Text line 2 I can extract just text lines with a regex. Also remove duplicate consecutive lines and subtitle numbers/timestamps. Then read in chunks. 69KB after cleaning maybe less. But probably still >20KB. I can read sequentially with offset/limit. Or I can use a tool to summarize. But the instruction says I should read and understand the full transcript. I'll clean it and read in chunks, keeping context. Actually, I can use read tool with limit. The transcript might be around 10,000-15,000 words. Let me first clean it and see the size.
{
"command": "python3 - <<'PY'\nimport re\nwith open('/tmp/yt-captions/071TuF7Z90Y.en.srt','r') as f:\n text=f.read()\n# Extract caption text lines: remove index lines, timestamp lines, blank lines\nlines=[]\nfor line in text.splitlines():\n line=line.strip()\n if not line:\n continue\n if re.match(r'^\\d+$', line):\n continue\n if '-->' in line:\n continue\n lines.append(line)\n# Join and dedupe repeated lines often in auto-caps\njoined=' '.join(lines)\n# Collapse multiple spaces\njoined=re.sub(r'\\s+',' ',joined)\nwith open('/tmp/yt-captions/clean.txt','w') as f:\n f.write(joined)\nprint('clean chars:', len(joined))\nprint('clean words:', len(joined.split()))\nPY"
}Output from command in shell 5fa6d5: clean chars: 42338 clean words: 7896 Exit code: 0
42,338 chars, 7,896 words. That's too long for a single read (limit 20,000 chars). I'll need to read it in chunks. I'll use read with offset/limit or just read the file in 3 chunks. But maybe I should use a more efficient approach: read the file in chunks and process. But the rule says I need to read and understand the full transcript. I'll use the read tool with offset and limit. Since read returns characters, I can read ~15,000 chars at a time. But the read tool takes "limit" as number of lines, not chars? Let me check: read has `limit?: number` and `offset?: number` - these are line numbers. Actually the tool description says "Optional number of lines to read." So limit is lines. 3745 lines total, I can read ~1200 lines at a time. But reading SRT with timestamps is not ideal. Maybe I should read the cleaned text file but it's one line. Hmm, the read tool with limit is lines. The cleaned text is one line. I'd need to wrap it. Better to keep SRT format and read chunks, or convert to a paragraph per subtitle block. Alternative: I can use `read` on the SRT file with offset/limit in lines. 3745 lines, I can read ~1200 lines per chunk. The content includes timestamps which I can ignore mentally. Or I can convert to one block per line to make line-based reading easier. Let me create a version where each subtitle entry (multi-line text) is on one line, so there are fewer lines and each line has timestamp + text. Then read ~120 lines at a time. Actually 3745 SRT lines corresponds to maybe ~1200 subtitle entries. Let me create a compact one-entry-per-line file.
{
"command": "python3 - <<'PY'\nimport re\nwith open('/tmp/yt-captions/071TuF7Z90Y.en.srt','r') as f:\n raw=f.read()\n\n# Parse blocks\nblocks=[b.strip() for b in raw.split('\\n\\n') if b.strip()]\nout=[]\nfor block in blocks:\n lines=block.splitlines()\n if len(lines)<2:\n continue\n # first line index, second line timestamp, rest text\n ts=lines[1]\n text=' '.join(l.strip() for l in lines[2:] if l.strip())\n text=re.sub(r'\\s+',' ',text)\n if text:\n out.append(f'{ts} {text}')\nwith open('/tmp/yt-captions/compact.txt','w') as f:\n f.write('\\n'.join(out))\nprint('entries:', len(out))\nprint('lines:', len(open('/tmp/yt-captions/compact.txt').read().splitlines()))\nPY"
}Output from command in shell bb50d2: entries: 746 lines: 746 Exit code: 0
Great, 746 compact lines. I'll read ~250 lines at a time. Let me read first 250 lines.
{
"file_path": "/tmp/yt-captions/compact.txt",
"offset": 1,
"limit": 250
}<file-view path="/tmp/yt-captions/compact.txt" start_line="1" end_line="231" total_lines="746"> 1|00:00:02,870 --> 00:00:02,880 For 24 years, the Soviet Union dominated 2|00:00:02,880 --> 00:00:05,070 For 24 years, the Soviet Union dominated the chess world, but it all changed in 3|00:00:05,070 --> 00:00:05,080 the chess world, but it all changed in 4|00:00:05,080 --> 00:00:06,670 the chess world, but it all changed in 1972. 5|00:00:06,670 --> 00:00:06,680 1972. 6|00:00:06,680 --> 00:00:08,310 1972. You see, every 2 years, they would hold 7|00:00:08,310 --> 00:00:08,320 You see, every 2 years, they would hold 8|00:00:08,320 --> 00:00:09,830 You see, every 2 years, they would hold the ultimate chess match called the 9|00:00:09,830 --> 00:00:09,840 the ultimate chess match called the 10|00:00:09,840 --> 00:00:12,510 the ultimate chess match called the World Chess Championship, and in 1972, 11|00:00:12,510 --> 00:00:12,520 World Chess Championship, and in 1972, 12|00:00:12,520 --> 00:00:14,400 World Chess Championship, and in 1972, it was Bobby Fischer from USA versus 13|00:00:14,400 --> 00:00:14,410 it was Bobby Fischer from USA versus 14|00:00:14,410 --> 00:00:16,190 it was Bobby Fischer from USA versus [music] Boris Spassky from the Soviet 15|00:00:16,190 --> 00:00:16,200 [music] Boris Spassky from the Soviet 16|00:00:16,200 --> 00:00:17,190 [music] Boris Spassky from the Soviet Union. 17|00:00:17,190 --> 00:00:17,200 Union. 18|00:00:17,200 --> 00:00:18,870 Union. Uh Dan, what does this story have to do 19|00:00:18,870 --> 00:00:18,880 Uh Dan, what does this story have to do 20|00:00:18,880 --> 00:00:20,670 Uh Dan, what does this story have to do with this chair? We're getting there. 21|00:00:20,670 --> 00:00:20,680 with this chair? We're getting there. 22|00:00:20,680 --> 00:00:22,350 with this chair? We're getting there. You see, this was no ordinary chess 23|00:00:22,350 --> 00:00:22,360 You see, this was no ordinary chess 24|00:00:22,360 --> 00:00:24,270 You see, this was no ordinary chess match. This chess match was called the 25|00:00:24,270 --> 00:00:24,280 match. This chess match was called the 26|00:00:24,280 --> 00:00:25,870 match. This chess match was called the match of the century because not only 27|00:00:25,870 --> 00:00:25,880 match of the century because not only 28|00:00:25,880 --> 00:00:27,630 match of the century because not only were tensions extremely high between the 29|00:00:27,630 --> 00:00:27,640 were tensions extremely high between the 30|00:00:27,640 --> 00:00:29,350 were tensions extremely high between the US and the Soviet Union because of the 31|00:00:29,350 --> 00:00:29,360 US and the Soviet Union because of the 32|00:00:29,360 --> 00:00:31,710 US and the Soviet Union because of the Cold War, but Bobby Fischer from the USA 33|00:00:31,710 --> 00:00:31,720 Cold War, but Bobby Fischer from the USA 34|00:00:31,720 --> 00:00:33,550 Cold War, but Bobby Fischer from the USA was causing all kinds of chaos leading 35|00:00:33,550 --> 00:00:33,560 was causing all kinds of chaos leading 36|00:00:33,560 --> 00:00:35,670 was causing all kinds of chaos leading up to the match. He refused to play 37|00:00:35,670 --> 00:00:35,680 up to the match. He refused to play 38|00:00:35,680 --> 00:00:37,110 up to the match. He refused to play until his demands were met, such as 39|00:00:37,110 --> 00:00:37,120 until his demands were met, such as 40|00:00:37,120 --> 00:00:38,390 until his demands were met, such as liking this video and subscribing to the 41|00:00:38,390 --> 00:00:38,400 liking this video and subscribing to the 42|00:00:38,400 --> 00:00:40,070 liking this video and subscribing to the channel. To- totally real requests, 43|00:00:40,070 --> 00:00:40,080 channel. To- totally real requests, 44|00:00:40,080 --> 00:00:41,070 channel. To- totally real requests, yeah. 45|00:00:41,070 --> 00:00:41,080 yeah. 46|00:00:41,080 --> 00:00:42,830 yeah. But seriously, he refused to play until 47|00:00:42,830 --> 00:00:42,840 But seriously, he refused to play until 48|00:00:42,840 --> 00:00:44,390 But seriously, he refused to play until his demands were met, such as more 49|00:00:44,390 --> 00:00:44,400 his demands were met, such as more 50|00:00:44,400 --> 00:00:46,950 his demands were met, such as more money, no cameras in the room, a very 51|00:00:46,950 --> 00:00:46,960 money, no cameras in the room, a very 52|00:00:46,960 --> 00:00:48,830 money, no cameras in the room, a very specific chessboard. But his oddest 53|00:00:48,830 --> 00:00:48,840 specific chessboard. But his oddest 54|00:00:48,840 --> 00:00:51,270 specific chessboard. But his oddest request? Bobby refused to play chess 55|00:00:51,270 --> 00:00:51,280 request? Bobby refused to play chess 56|00:00:51,280 --> 00:00:53,470 request? Bobby refused to play chess until he got a very specific chair. This 57|00:00:53,470 --> 00:00:53,480 until he got a very specific chair. This 58|00:00:53,480 --> 00:00:55,350 until he got a very specific chair. This chair, in fact. And once his opponent, 59|00:00:55,350 --> 00:00:55,360 chair, in fact. And once his opponent, 60|00:00:55,360 --> 00:00:57,350 chair, in fact. And once his opponent, Boris, saw how comfortable it looked, he 61|00:00:57,350 --> 00:00:57,360 Boris, saw how comfortable it looked, he 62|00:00:57,360 --> 00:00:59,430 Boris, saw how comfortable it looked, he also demanded this chair, so they had to 63|00:00:59,430 --> 00:00:59,440 also demanded this chair, so they had to 64|00:00:59,440 --> 00:01:01,470 also demanded this chair, so they had to overnight it into Iceland, and finally 65|00:01:01,470 --> 00:01:01,480 overnight it into Iceland, and finally 66|00:01:01,480 --> 00:01:03,430 overnight it into Iceland, and finally the chess match could begin. Bobby 67|00:01:03,430 --> 00:01:03,440 the chess match could begin. Bobby 68|00:01:03,440 --> 00:01:05,509 the chess match could begin. Bobby Fischer went on to defeat Boris Spassky, 69|00:01:05,509 --> 00:01:05,519 Fischer went on to defeat Boris Spassky, 70|00:01:05,519 --> 00:01:07,630 Fischer went on to defeat Boris Spassky, ending the Soviet Union's dominant reign 71|00:01:07,630 --> 00:01:07,640 ending the Soviet Union's dominant reign 72|00:01:07,640 --> 00:01:09,430 ending the Soviet Union's dominant reign in chess. [music] And in doing so, he 73|00:01:09,430 --> 00:01:09,440 in chess. [music] And in doing so, he 74|00:01:09,440 --> 00:01:11,990 in chess. [music] And in doing so, he immortalized both himself and this chair 75|00:01:11,990 --> 00:01:12,000 immortalized both himself and this chair 76|00:01:12,000 --> 00:01:14,470 immortalized both himself and this chair in history. And what is this chair? This 77|00:01:14,470 --> 00:01:14,480 in history. And what is this chair? This 78|00:01:14,480 --> 00:01:17,030 in history. And what is this chair? This is the Eames Executive Chair, or also 79|00:01:17,030 --> 00:01:17,040 is the Eames Executive Chair, or also 80|00:01:17,040 --> 00:01:19,670 is the Eames Executive Chair, or also originally known as the Eames Time-Life 81|00:01:19,670 --> 00:01:19,680 originally known as the Eames Time-Life 82|00:01:19,680 --> 00:01:21,830 originally known as the Eames Time-Life Chair. But is the Eames Executive Chair 83|00:01:21,830 --> 00:01:21,840 Chair. But is the Eames Executive Chair 84|00:01:21,840 --> 00:01:23,670 Chair. But is the Eames Executive Chair as comfortable as Bobby Fischer says it 85|00:01:23,670 --> 00:01:23,680 as comfortable as Bobby Fischer says it 86|00:01:23,680 --> 00:01:26,190 as comfortable as Bobby Fischer says it is? And is it worth the $6,000 price 87|00:01:26,190 --> 00:01:26,200 is? And is it worth the $6,000 price 88|00:01:26,200 --> 00:01:31,950 is? And is it worth the $6,000 price tag? Let's get honest. 89|00:01:33,110 --> 00:01:33,120 Links to everything will be in the 90|00:01:33,120 --> 00:01:35,030 Links to everything will be in the description below. Yes, I did pay for 91|00:01:35,030 --> 00:01:35,040 description below. Yes, I did pay for 92|00:01:35,040 --> 00:01:36,470 description below. Yes, I did pay for this chair with my own money, so when 93|00:01:36,470 --> 00:01:36,480 this chair with my own money, so when 94|00:01:36,480 --> 00:01:37,750 this chair with my own money, so when you use those links, it helps the 95|00:01:37,750 --> 00:01:37,760 you use those links, it helps the 96|00:01:37,760 --> 00:01:38,950 you use those links, it helps the channel a lot. It helps this channel 97|00:01:38,950 --> 00:01:38,960 channel a lot. It helps this channel 98|00:01:38,960 --> 00:01:40,430 channel a lot. It helps this channel keep going, and I really appreciate your 99|00:01:40,430 --> 00:01:40,440 keep going, and I really appreciate your 100|00:01:40,440 --> 00:01:42,150 keep going, and I really appreciate your support. As always, we'll start from the 101|00:01:42,150 --> 00:01:42,160 support. As always, we'll start from the 102|00:01:42,160 --> 00:01:43,590 support. As always, we'll start from the bottom, work our way up, just like I 103|00:01:43,590 --> 00:01:43,600 bottom, work our way up, just like I 104|00:01:43,600 --> 00:01:45,270 bottom, work our way up, just like I start from the bottom, work my way up to 105|00:01:45,270 --> 00:01:45,280 start from the bottom, work my way up to 106|00:01:45,280 --> 00:01:46,870 start from the bottom, work my way up to this suit that doesn't button anymore 107|00:01:46,870 --> 00:01:46,880 this suit that doesn't button anymore 108|00:01:46,880 --> 00:01:48,630 this suit that doesn't button anymore cuz I'm too fat. But anyways, 109|00:01:48,630 --> 00:01:48,640 cuz I'm too fat. But anyways, 110|00:01:48,640 --> 00:01:50,150 cuz I'm too fat. But anyways, the casters and legs. The casters on 111|00:01:50,150 --> 00:01:50,160 the casters and legs. The casters on 112|00:01:50,160 --> 00:01:52,110 the casters and legs. The casters on this chair that I chose are both carpet 113|00:01:52,110 --> 00:01:52,120 this chair that I chose are both carpet 114|00:01:52,120 --> 00:01:53,510 this chair that I chose are both carpet and hard floor casters, and you can see 115|00:01:53,510 --> 00:01:53,520 and hard floor casters, and you can see 116|00:01:53,520 --> 00:01:55,310 and hard floor casters, and you can see on carpet, they roll really smoothly. It 117|00:01:55,310 --> 00:01:55,320 on carpet, they roll really smoothly. It 118|00:01:55,320 --> 00:01:56,790 on carpet, they roll really smoothly. It doesn't get out of control, so you do 119|00:01:56,790 --> 00:01:56,800 doesn't get out of control, so you do 120|00:01:56,800 --> 00:01:58,550 doesn't get out of control, so you do have a lot of control on those casters. 121|00:01:58,550 --> 00:01:58,560 have a lot of control on those casters. 122|00:01:58,560 --> 00:02:00,670 have a lot of control on those casters. And the legs here, these the entire 123|00:02:00,670 --> 00:02:00,680 And the legs here, these the entire 124|00:02:00,680 --> 00:02:02,590 And the legs here, these the entire frame actually, both the legs and on the 125|00:02:02,590 --> 00:02:02,600 frame actually, both the legs and on the 126|00:02:02,600 --> 00:02:04,310 frame actually, both the legs and on the side here, fun note that this is 127|00:02:04,310 --> 00:02:04,320 side here, fun note that this is 128|00:02:04,320 --> 00:02:06,350 side here, fun note that this is actually made out of aluminum, or as the 129|00:02:06,350 --> 00:02:06,360 actually made out of aluminum, or as the 130|00:02:06,360 --> 00:02:08,190 actually made out of aluminum, or as the British say, aluminium, which is 131|00:02:08,190 --> 00:02:08,200 British say, aluminium, which is 132|00:02:08,200 --> 00:02:09,630 British say, aluminium, which is honestly a better way to say it. Like 133|00:02:09,630 --> 00:02:09,640 honestly a better way to say it. Like 134|00:02:09,640 --> 00:02:10,990 honestly a better way to say it. Like that sounds so much cooler. But yeah, 135|00:02:10,990 --> 00:02:11,000 that sounds so much cooler. But yeah, 136|00:02:11,000 --> 00:02:11,990 that sounds so much cooler. But yeah, these are going to be made out of 137|00:02:11,990 --> 00:02:12,000 these are going to be made out of 138|00:02:12,000 --> 00:02:13,390 these are going to be made out of aluminum. You're going to see on a lot 139|00:02:13,390 --> 00:02:13,400 aluminum. You're going to see on a lot 140|00:02:13,400 --> 00:02:15,590 aluminum. You're going to see on a lot of replicas that the frame here is not 141|00:02:15,590 --> 00:02:15,600 of replicas that the frame here is not 142|00:02:15,600 --> 00:02:17,430 of replicas that the frame here is not going to be aluminum, but rather chrome. 143|00:02:17,430 --> 00:02:17,440 going to be aluminum, but rather chrome. 144|00:02:17,440 --> 00:02:18,390 going to be aluminum, but rather chrome. So, something to keep in mind. We'll 145|00:02:18,390 --> 00:02:18,400 So, something to keep in mind. We'll 146|00:02:18,400 --> 00:02:20,710 So, something to keep in mind. We'll talk about other replica factors as we 147|00:02:20,710 --> 00:02:20,720 talk about other replica factors as we 148|00:02:20,720 --> 00:02:22,470 talk about other replica factors as we move through the video. But anyways, you 149|00:02:22,470 --> 00:02:22,480 move through the video. But anyways, you 150|00:02:22,480 --> 00:02:24,190 move through the video. But anyways, you can see that these legs here, they're 151|00:02:24,190 --> 00:02:24,200 can see that these legs here, they're 152|00:02:24,200 --> 00:02:25,790 can see that these legs here, they're rounded and so they're not going to be 153|00:02:25,790 --> 00:02:25,800 rounded and so they're not going to be 154|00:02:25,800 --> 00:02:27,150 rounded and so they're not going to be great for people who want to put their 155|00:02:27,150 --> 00:02:27,160 great for people who want to put their 156|00:02:27,160 --> 00:02:29,230 great for people who want to put their feet up, but because the seat base comes 157|00:02:29,230 --> 00:02:29,240 feet up, but because the seat base comes 158|00:02:29,240 --> 00:02:30,990 feet up, but because the seat base comes out so deep, you can't really get your 159|00:02:30,990 --> 00:02:31,000 out so deep, you can't really get your 160|00:02:31,000 --> 00:02:33,070 out so deep, you can't really get your feet up anyway. Now, fun fact, there are 161|00:02:33,070 --> 00:02:33,080 feet up anyway. Now, fun fact, there are 162|00:02:33,080 --> 00:02:34,990 feet up anyway. Now, fun fact, there are actually two generations of this chair. 163|00:02:34,990 --> 00:02:35,000 actually two generations of this chair. 164|00:02:35,000 --> 00:02:36,830 actually two generations of this chair. The original generation actually only 165|00:02:36,830 --> 00:02:36,840 The original generation actually only 166|00:02:36,840 --> 00:02:38,949 The original generation actually only has four legs, not five legs. So, it's 167|00:02:38,949 --> 00:02:38,959 has four legs, not five legs. So, it's 168|00:02:38,959 --> 00:02:40,990 has four legs, not five legs. So, it's got four star leg base. The newer 169|00:02:40,990 --> 00:02:41,000 got four star leg base. The newer 170|00:02:41,000 --> 00:02:43,470 got four star leg base. The newer models, which I believe started in 1985, 171|00:02:43,470 --> 00:02:43,480 models, which I believe started in 1985, 172|00:02:43,480 --> 00:02:45,310 models, which I believe started in 1985, have the five star leg base like you see 173|00:02:45,310 --> 00:02:45,320 have the five star leg base like you see 174|00:02:45,320 --> 00:02:47,270 have the five star leg base like you see here. Looking at the functions under the 175|00:02:47,270 --> 00:02:47,280 here. Looking at the functions under the 176|00:02:47,280 --> 00:02:48,710 here. Looking at the functions under the chair, I think it's important to state 177|00:02:48,710 --> 00:02:48,720 chair, I think it's important to state 178|00:02:48,720 --> 00:02:50,590 chair, I think it's important to state that this is an executive chair. It's 179|00:02:50,590 --> 00:02:50,600 that this is an executive chair. It's 180|00:02:50,600 --> 00:02:52,470 that this is an executive chair. It's meant to be more for show rather than 181|00:02:52,470 --> 00:02:52,480 meant to be more for show rather than 182|00:02:52,480 --> 00:02:54,230 meant to be more for show rather than functionality. So, if you want a ton of 183|00:02:54,230 --> 00:02:54,240 functionality. So, if you want a ton of 184|00:02:54,240 --> 00:02:55,830 functionality. So, if you want a ton of a functionality and adjustments, you're 185|00:02:55,830 --> 00:02:55,840 a functionality and adjustments, you're 186|00:02:55,840 --> 00:02:56,990 a functionality and adjustments, you're going to have to go with an ergonomic 187|00:02:56,990 --> 00:02:57,000 going to have to go with an ergonomic 188|00:02:57,000 --> 00:02:58,750 going to have to go with an ergonomic chair and not something like this. So, a 189|00:02:58,750 --> 00:02:58,760 chair and not something like this. So, a 190|00:02:58,760 --> 00:03:01,509 chair and not something like this. So, a very, very basic chair and also very 191|00:03:01,509 --> 00:03:01,519 very, very basic chair and also very 192|00:03:01,519 --> 00:03:04,750 very, very basic chair and also very manual, very um muscle intensive here as 193|00:03:04,750 --> 00:03:04,760 manual, very um muscle intensive here as 194|00:03:04,760 --> 00:03:06,590 manual, very um muscle intensive here as my editor and I both found out. So, this 195|00:03:06,590 --> 00:03:06,600 my editor and I both found out. So, this 196|00:03:06,600 --> 00:03:08,110 my editor and I both found out. So, this thing actually really only has two 197|00:03:08,110 --> 00:03:08,120 thing actually really only has two 198|00:03:08,120 --> 00:03:09,990 thing actually really only has two adjustments. The first is going to be a 199|00:03:09,990 --> 00:03:10,000 adjustments. The first is going to be a 200|00:03:10,000 --> 00:03:11,870 adjustments. The first is going to be a tilt tension and that's using this knob 201|00:03:11,870 --> 00:03:11,880 tilt tension and that's using this knob 202|00:03:11,880 --> 00:03:13,790 tilt tension and that's using this knob back here. And this knob is righty 203|00:03:13,790 --> 00:03:13,800 back here. And this knob is righty 204|00:03:13,800 --> 00:03:15,270 back here. And this knob is righty tighty, lefty loosey. So, if you go 205|00:03:15,270 --> 00:03:15,280 tighty, lefty loosey. So, if you go 206|00:03:15,280 --> 00:03:16,910 tighty, lefty loosey. So, if you go righty tighty, it's going to tighten 207|00:03:16,910 --> 00:03:16,920 righty tighty, it's going to tighten 208|00:03:16,920 --> 00:03:19,030 righty tighty, it's going to tighten that tension and it's just going to lean 209|00:03:19,030 --> 00:03:19,040 that tension and it's just going to lean 210|00:03:19,040 --> 00:03:20,910 that tension and it's just going to lean back like this. You don't even get a 211|00:03:20,910 --> 00:03:20,920 back like this. You don't even get a 212|00:03:20,920 --> 00:03:23,229 back like this. You don't even get a tilt lock or even a tilt limiter. It's 213|00:03:23,229 --> 00:03:23,239 tilt lock or even a tilt limiter. It's 214|00:03:23,239 --> 00:03:25,550 tilt lock or even a tilt limiter. It's just fully unlocked and only by 215|00:03:25,550 --> 00:03:25,560 just fully unlocked and only by 216|00:03:25,560 --> 00:03:27,550 just fully unlocked and only by adjusting this tension can you adjust 217|00:03:27,550 --> 00:03:27,560 adjusting this tension can you adjust 218|00:03:27,560 --> 00:03:29,310 adjusting this tension can you adjust how easy it is to tilt back in the 219|00:03:29,310 --> 00:03:29,320 how easy it is to tilt back in the 220|00:03:29,320 --> 00:03:31,470 how easy it is to tilt back in the chair. There is no way to get it upright 221|00:03:31,470 --> 00:03:31,480 chair. There is no way to get it upright 222|00:03:31,480 --> 00:03:32,710 chair. There is no way to get it upright like this. So, something to keep in 223|00:03:32,710 --> 00:03:32,720 like this. So, something to keep in 224|00:03:32,720 --> 00:03:34,509 like this. So, something to keep in mind. The tilt in this chair is using a 225|00:03:34,509 --> 00:03:34,519 mind. The tilt in this chair is using a 226|00:03:34,519 --> 00:03:35,910 mind. The tilt in this chair is using a knee tilt. So, when you tilt back, your 227|00:03:35,910 --> 00:03:35,920 knee tilt. So, when you tilt back, your 228|00:03:35,920 --> 00:03:38,310 knee tilt. So, when you tilt back, your knees go up as opposed to all modern day 229|00:03:38,310 --> 00:03:38,320 knees go up as opposed to all modern day 230|00:03:38,320 --> 00:03:39,750 knees go up as opposed to all modern day Herman Miller chairs, which use synchro 231|00:03:39,750 --> 00:03:39,760 Herman Miller chairs, which use synchro </file-view>
I have the first 231 lines (because I requested 250 but file has 746, and read limit of 20,000 chars). It stops due to char limit. I can see the content is quite repetitive (auto-caps). I should continue reading the next chunks. But this is very verbose. Maybe I should further deduplicate the text before reading. The auto-captions are overlapping/rolling with many repeated phrases. I can clean it to unique text. Let me create a further deduplicated version. Looking at the compact file, each entry is a timestamp plus the text for that specific timestamp segment. But auto-captions roll forward word by word, so there's lots of repetition. I need to create a version that only includes new text as it appears. That would reduce size significantly. Let me write a Python script to deduplicate the captions. For SRT, captions often overlap, so I can extract the latest/complete text for each time interval and avoid duplication. Or use a sliding window approach: for each entry, only keep the part that's not already in the previous entry. Actually, the SRT from YouTube auto-captions has overlapping entries where each new entry contains the previous tail plus new words. I can just take every Nth entry or merge adjacent entries and drop duplicates. But better to parse and keep the text of each entry, then compute new content. A simple approach: for each entry, split into words, then find the longest suffix of previous text that is a prefix of current text, and append remaining words. But since entries can be very short and overlapping, we can just process each line, keep a running transcript, and append only new words at the end. Actually, the auto-captions are word-level with rolling display, so each subsequent entry extends the text by a few words. If I just take the text from each entry and join with spaces, I'll have massive duplication. Better to keep only the last entry's text if it's a superset of the previous? No, because each entry has a timestamp range. But the text evolves. I can just iterate and append only the new words beyond the prefix match. Let me create a cleaned transcript that is just the evolving text. That will be much shorter.
{
"command": "python3 - <<'PY'\nimport re\n\nwith open('/tmp/yt-captions/071TuF7Z90Y.en.srt','r') as f:\n raw=f.read()\n\nblocks=[b.strip() for b in raw.split('\\n\\n') if b.strip()]\nentries=[]\nfor block in blocks:\n lines=block.splitlines()\n if len(lines)<2:\n continue\n ts=lines[1]\n text=' '.join(l.strip() for l in lines[2:] if l.strip())\n text=re.sub(r'\\s+',' ',text)\n # remove music tags\n text=re.sub(r'\\[music\\]','',text).strip()\n text=re.sub(r'\\s+',' ',text)\n if text:\n entries.append(text)\n\n# Deduplicate rolling captions: keep only new trailing words\nresult=[]\nprev=''\nfor text in entries:\n # remove trailing partial duplicates from prev\n # find longest suffix of prev that is prefix of text\n words_prev=prev.split()\n words_cur=text.split()\n max_overlap=0\n max_possible=min(len(words_prev), len(words_cur))\n for k in range(1, max_possible+1):\n if words_prev[-k:]==words_cur[:k]:\n max_overlap=k\n new_words=words_cur[max_overlap:]\n if new_words:\n result.extend(new_words)\n prev=' '.join(words_prev + new_words)\n else:\n # if current is just a prefix or same, update prev? No.\n pass\n\ntranscript=' '.join(result)\n# fix spacing around punctuation\n# (optional)\nwith open('/tmp/yt-captions/transcript.txt','w') as f:\n f.write(transcript)\nprint('words:', len(transcript.split()))\nprint('chars:', len(transcript))\nPY"
}Output from command in shell 650474: words: 2634 chars: 14120 Exit code: 0
Great! Deduplicated transcript is 14,120 chars and 2,634 words. That's within the 20,000 char read limit, so I can read the whole thing at once. Let me read it.
{
"file_path": "/tmp/yt-captions/transcript.txt"
}<file-view path="/tmp/yt-captions/transcript.txt" start_line="1" end_line="1" total_lines="1"> 1|For 24 years, the Soviet Union dominated the chess world, but it all changed in 1972. You see, every 2 years, they would hold the ultimate chess match called the World Chess Championship, and in 1972, it was Bobby Fischer from USA versus Boris Spassky from the Soviet Union. Uh Dan, what does this story have to do with this chair? We're getting there. You see, this was no ordinary chess match. This chess match was called the match of the century because not only were tensions extremely high between the US and the Soviet Union because of the Cold War, but Bobby Fischer from the USA was causing all kinds of chaos leading up to the match. He refused to play until his demands were met, such as liking this video and subscribing to the channel. To- totally real requests, yeah. But seriously, he refused to play until his demands were met, such as more money, no cameras in the room, a very specific chessboard. But his oddest request? Bobby refused to play chess until he got a very specific chair. This chair, in fact. And once his opponent, Boris, saw how comfortable it looked, he also demanded this chair, so they had to overnight it into Iceland, and finally the chess match could begin. Bobby Fischer went on to defeat Boris Spassky, ending the Soviet Union's dominant reign in chess. And in doing so, he immortalized both himself and this chair in history. And what is this chair? This is the Eames Executive Chair, or also originally known as the Eames Time-Life Chair. But is the Eames Executive Chair as comfortable as Bobby Fischer says it is? And is it worth the $6,000 price tag? Let's get honest. Links to everything will be in the description below. Yes, I did pay for this chair with my own money, so when you use those links, it helps the channel a lot. It helps this channel keep going, and I really appreciate your support. As always, we'll start from the bottom, work our way up, just like I start from the bottom, work my way up to this suit that doesn't button anymore cuz I... [truncated 12120 chars] </file-view>
The transcript is truncated in the read output. I need the full content. I can use the read tool with a higher limit or use exec to display. But the read tool limit is 20,000 chars and the file has 14,120 chars, so it should fit. However, the output says "[truncated 12120 chars]" meaning it returned only ~2000 chars. Maybe the read tool has a line truncation or the display truncated. Let me check with cat or use read with offset/limit? Actually read returned only part. The file is one line and very long. Maybe the read tool truncates at 2000 chars per line? Let me use `cat` or split into lines. Let me split the transcript into wrapped lines and read. Or just use `cat` via exec to get the full text.
{
"command": "cat /tmp/yt-captions/transcript.txt"
}Output from command in shell b66a30: For 24 years, the Soviet Union dominated the chess world, but it all changed in 1972. You see, every 2 years, they would hold the ultimate chess match called the World Chess Championship, and in 1972, it was Bobby Fischer from USA versus Boris Spassky from the Soviet Union. Uh Dan, what does this story have to do with this chair? We're getting there. You see, this was no ordinary chess match. This chess match was called the match of the century because not only were tensions extremely high between the US and the Soviet Union because of the Cold War, but Bobby Fischer from the USA was causing all kinds of chaos leading up to the match. He refused to play until his demands were met, such as liking this video and subscribing to the channel. To- totally real requests, yeah. But seriously, he refused to play until his demands were met, such as more money, no cameras in the room, a very specific chessboard. But his oddest request? Bobby refused to play chess until he got a very specific chair. This chair, in fact. And once his opponent, Boris, saw how comfortable it looked, he also demanded this chair, so they had to overnight it into Iceland, and finally the chess match could begin. Bobby Fischer went on to defeat Boris Spassky, ending the Soviet Union's dominant reign in chess. And in doing so, he immortalized both himself and this chair in history. And what is this chair? This is the Eames Executive Chair, or also originally known as the Eames Time-Life Chair. But is the Eames Executive Chair as comfortable as Bobby Fischer says it is? And is it worth the $6,000 price tag? Let's get honest. Links to everything will be in the description below. Yes, I did pay for this chair with my own money, so when you use those links, it helps the channel a lot. It helps this channel keep going, and I really appreciate your support. As always, we'll start from the bottom, work our way up, just like I start from the bottom, work my way up to this suit that doesn't button anymore cuz I'm too fat. But anyways, the casters and legs. The casters on this chair that I chose are both carpet and hard floor casters, and you can see on carpet, they roll really smoothly. It doesn't get out of control, so you do have a lot of control on those casters. And the legs here, these the entire frame actually, both the legs and on the side here, fun note that this is actually made out of aluminum, or as the British say, aluminium, which is honestly a better way to say it. Like that sounds so much cooler. But yeah, these are going to be made out of aluminum. You're going to see on a lot of replicas that the frame here is not going to be aluminum, but rather chrome. So, something to keep in mind. We'll talk about other replica factors as we move through the video. But anyways, you can see that these legs here, they're rounded and so they're not going to be great for people who want to put their feet up, but because the seat base comes out so deep, you can't really get your feet up anyway. Now, fun fact, there are actually two generations of this chair. The original generation actually only has four legs, not five legs. So, it's got four star leg base. The newer models, which I believe started in 1985, have the five star leg base like you see here. Looking at the functions under the chair, I think it's important to state that this is an executive chair. It's meant to be more for show rather than functionality. So, if you want a ton of a functionality and adjustments, you're going to have to go with an ergonomic chair and not something like this. So, a very, very basic chair and also very manual, very um muscle intensive here as my editor and I both found out. So, this thing actually really only has two adjustments. The first is going to be a tilt tension and that's using this knob back here. And this knob is righty tighty, lefty loosey. So, if you go righty tighty, it's going to tighten that tension and it's just going to lean back like this. You don't even get a tilt lock or even a tilt limiter. It's just fully unlocked and only by adjusting this tension can you adjust how easy it is to tilt back in the chair. There is no way to get it upright like this. So, something to keep in mind. The tilt in this chair is using a knee tilt. So, when you tilt back, your knees go up as opposed to all modern day Herman Miller chairs, which use synchro tilt, which is when you tilt back, your knees stay flat on the ground. So, something to keep in mind. The tilt feeling on this, it's actually really smooth, kind of tilts back really nicely. And the beautiful thing about this is that you can actually loosen this tilt enough so that you can tilt back and you can actually hold yourself in this tilted position. Right now, I'm using no force anywhere. You can see I'm able to use all my body parts and I'm not really having to hold myself in this tilted back position. But, with a little bit of force, I can just put myself forward like this. And it's really nice for this because you can kind of tilt back, put your legs up in that true executive boss-like mode. The next adjustment is the height adjustment and it's found under the chair on this like it's not really a knob. It's like on the actual cylinder itself and it's a manual adjustment where you have to turn it yourself like this. Now, you can turn it like this. This is actually the most painstaking way to do it and very difficult, very muscle intensive. I don't recommend it. The better way to do it is actually to turn your chair over like this very gently cuz it's very expensive and then turn it like this. Now, if you can't believe that a chair this expensive has all manual adjustments, neither can I, right? >> [laughter] >> So, this can get to the minimum height we measured from the ground to the front lip of this chair right here. The minimum height is 15.75 in and the maximum height is 20 in. I'm 5 ft 6 and this is what it looks like at the minimum height and this is what the maximum height looks like. It does get my feet off the ground but not by much. Now, even though this manual adjustment is a pain in the ass, it is an earmark of a genuine real Eames executive chair. There are a ton of replicas of this chair because of how popular it is and many of them are going to be using the pneumatic tilt. So, basically, a lever to raise the chair up and down rather than this manual thing right here. Also, you're going to notice that all of these adjustments, both the tilt tension and the manual height, are found on one single mechanism as opposed to multiple mechanisms. So, that is another sign that if you have a chair that's using this kind of manual thing, you got to see that it's all one piece and that'll tell you whether it's real or fake. Moving up now to the seat, in case you're curious, this is the prone leather in the vine color. It's got this dark green color. I think it looks really, really handsome. But, anyways, how does the seat feel? And I will say that this seat cushion is by far the best feature about this chair. This cushion is incredible. It is soft, right? It's definitely on the soft side, and it just feels like when you sit in it, it's just so plush. It just kind of hugs every part of your leg and booty. It feels so good, and it's super duper thick, so you know you're never going to bottom out on this thing. It just feels really really really incredible. Like it's soft, but at the same time when you compress about midway down, it kind of holds you there, so you still get some support. Really great. And then, you can see that, you know, because this is using that like old school design, it doesn't have like a waterfall edge or anything like that. It just goes straight all the way down. But, even so, I don't feel like circulation's being cut off on my leg in the front or anything like that, because the cushions are so soft, it just feels really supportive, really plush all the way out through the leg. As I said before, and I'll say a million more times, the functionality on this chair is very basic. There is no seat depth adjustment. Again, I'm 5'6. When I scootch all the way back, you can see that there is no space between the back of my leg and the front of this chair. So, technically, it is too deep for me. >> Hey, yo. That's what she said. >> This is a classy video. Moving up now to the armrests, they are bad. All executive chairs are going to prioritize aesthetics over everything else, and if you got functional armrests, they just don't look as good. And so, you've got these armrests that don't do anything. They don't move up and down, they don't move forward, no adjustments whatsoever. They are fairly cushy though. It's using that same vine colored leather here, and the cushioning inside of it is nice and plush, and it's deep as well, so you'll never like compress into the point where you can feel the hard aluminum frame, so that's really nice here. And now, I'll show you what it looks like in practical use. I'm 5'6, and you can see that when I put my arms down onto it, my shoulders have to pull down un- like unnaturally to make contact with it. So, they do sit very low. The benefit of them sitting low is that this desk is a 25-in height desk, so very low to the ground. And you can see when I go into it, it clears it beautifully. It doesn't make any contact whatsoever. So, these armrests are going to clear under the lowest desks. But what that also means is that when I'm actually typing and trying to use the computer, the armrests are nowhere near to provide any kind of elbow support. And also, even if I were to drop my arms like this, for me being 5' 6", not the widest person, you can see that the my elbows wouldn't make any contact with the arm pad regardless. The backrest on this chair is terrible. There's no other way to put it. This thing lacks a real lumbar support and it lacks any kind of like mid to slight upper mid support. You see this cushion here? You've got this two-tier cushion right here. This right here, there's just a massive gap on your back where it provides absolutely no support whatsoever. It's just completely missing there. And then the upper curve of it, like the upper pad, it kind of tilts forward a little bit. And so what you get is you get very little lower lumbar curve support and then an upper backrest that kind of pushes your back forward a little bit. And it's just not a very comfortable experience. I can see why Bobby Fischer found this very comfortable because when he's playing chess, he's not really using the backrest. He's kind of leaning forward like this. So he's getting that benefit of the super comfortable seat cushion that I talked about, but he's not using the backrest at all. And so if he were a white-collar employee, I'm pretty sure he would have chucked this thing out the window. The only time my back feels comfortable in this chair is when I'm tilting back like so. This is the only time when I feel comfortable, like actually comfortable in this chair. My entire back is being forced against the backrest. Those super plush, super soft cushions that you find in the seat are found here as well and it just feels really good like this. But if you think I'm the only one who finds this chair incredibly uncomfortable when sitting, go Google it and you're going to find a ton of people complaining about how uncomfortable the backrest is. Fun fact, I think the reason why the Eames Executive feels comfortable in this position only is because it was originally designed to be a lounge chair. Herman Miller doesn't provide a maximum height or weight recommendation for this chair. And honestly, I don't know what the maximum height is either. I'm 5' 6" and you can see that the backrest goes up about like 3/4 up the way of my back. So, if you're super tall, you're just going to be hanging off of this chair. In terms of maximum weight, my guess would be most of Herman Miller's chairs maximum weight capacities are 300 lb. So, that would be my guess here, but again, Herman Miller doesn't give specific requirements. The Eames Executive Chair with the non-leather fabric starts at about $5,400, and if you want the leather version, it starts at about $6,000. To be very clear, that is an absurdly high price tag for a chair that's not very functional and frankly, not very comfortable. And if you want a comfortable chair, go check out my other chair reviews, but like this video first because I just saved you thousands of dollars. But, comfort and functionality isn't why one buys something like this. There are two reasons why someone might buy a chair like this. One is because the materials are incredibly high quality, the craftsmanship, this thing is handmade, put together, and so this chair is going to outlast all of its owners. The leather here is incredibly high quality leather, the foam in here is really, really high quality, dense foam, even though it's super plush and soft, and then the aluminum here, if it gets scuffed up, you just buff it out and polish it, and it's good to go. The second reason, the Eames's designed this chair very specifically to, and I quote, "Project an image of [snorts] quality and prestige." And I think they have nailed it. I don't think anyone can deny that this chair exudes prestige, luxury, success. And you might think, "Who cares what other people think?" But, if you're running a business and you've got this chair paired with a really nice-looking office, people will think, "Wow, this person really seems to know what they're doing. This person seems very successful." And it can help boost your own confidence, and it can also help sell you to potential new clients. This is why you see this chair in only the highest-end offices, law firms, major marketing firms. This is why you see it in Scrubs in the boardroom. This is why you see it in Mad Men, all the executives sitting on this chair here. If you had the money, would you go with something like this or something more practical? And if you already own this chair, do you like it? Let us know in the comments below. Until next time, stay honest. Exit code: 0
I now have the full transcript. I need to understand it and then provide a summary. Since 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" — the user didn't explicitly ask to summarize but posted a YouTube link. The rule says "If I ever paste in a YouTube link, use yt-dlp to summarize the video." So I should summarize it. And the naming rule: "if asked to summarize a YouTube video, do not name the session until after reading and understanding the full YouTube video transcript". So I should NOT name the session until after I understand the transcript. At this point I understand it. Now I can provide the summary. I should also consider naming the session? The instruction says not to name the session until after reading and understanding. It doesn't say I must name it. But typically I might not have session naming capability in this UI. The rule is likely for session naming tools, but I don't see such a tool. So I'll just summarize. Let me draft a concise summary of the video. Title: "Is the $6,000 Herman Miller Eames Executive Actually Worth It?" by Ahnestly, 11:43. Key points: - Historical anecdote: 1972 World Chess Championship, Bobby Fischer vs Boris Spassky. Fischer demanded a specific chair, the Eames Executive Chair (originally Eames Time-Life Chair), and it became iconic. - Chair review from bottom up: - Casters: smooth on carpet/hard floor. - Frame/legs: aluminum (replicas often chrome); original generation had 4-star base, newer since 1985 have 5-star. - Adjustments: very limited/manual. Tilt tension knob only; knee tilt (knees rise when reclining, unlike modern synchro tilt); no tilt lock. Height adjustment is manual/turning cylinder, min 15.75", max 20". Manual adjustments are sign of authenticity (replicas use pneumatic levers). - Seat: best feature. Prone leather in vine color. Plush, thick, soft but supportive; no waterfall edge but no circulation issues; no seat depth adjustment. For reviewer (5'6") seat is too deep. - Armrests: fixed, low, cushy, clear low desks, but provide no typing support. - Backrest: terrible, lacks lumbar/mid-back support, big gap, upper pad pushes forward. Only comfortable when fully reclining. - Price: fabric starts ~$5,400, leather ~$6,000. Author says absurd for comfort/functionality. - Reasons to buy anyway: high-quality materials/craftsmanship (leather, dense foam, aluminum), and prestige/status symbol—projects success, used in high-end offices, TV shows (Scrubs, Mad Men). - Verdict: not comfortable or functional; buy for looks/status/quality, not ergonomics. I should present this clearly. Also mention the video's hook and conclusion. I'll write a summary in a few paragraphs with bullet points. I should also check if there's a session naming capability. I don't see a tool for that. The rule might be for a different context. I'll just provide the summary.
Video hook: The Eames Executive Chair was originally known as the Eames Time-Life Chair. It became famous at the 1972 World Chess Championship, where Bobby Fischer demanded it for his match against Boris Spassky; Spassky then wanted the same chair, and Fischer went on to win, cementing the chair's legendary status.
Bottom-line verdict: It is not worth it for comfort or ergonomics, but it can be worth it if you want premium materials and a strong status symbol.
Build & frame
Adjustments — very limited and manual
Seat
Armrests
Backrest
Price & value
Reasons to buy it anyway
Final takeaway: Buy the Eames Executive Chair if you want a luxurious, heirloom-quality status piece; look elsewhere if you want ergonomic comfort for daily computer work.
what a slop video
The user is expressing an opinion about the video being "slop" (low quality). I should acknowledge their sentiment in a brief, conversational way. No tool needed unless they ask for more. I should be concise.
Yeah, the review mostly confirms the $6K is for prestige and materials rather than actual ergonomics. If you want a chair to sit in all day, there are far better options for a fraction of the price.
can you give me the link aghain?
The user wants the link again. They probably mean the YouTube link they shared earlier. I'll provide it.
The YouTube link you sent was:
https://www.youtube.com/watch?v=071TuF7Z90Y&pp=ugUHEgVlbi1VUw%3D%3D