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":"playwright"},{"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":"cloudflare"},{"name":"cloudflare-observability"},{"name":"cloudflare-docs"},{"name":"cloudflare-builds"},{"name":"cloudflare-bindings"}]}
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.
## 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.
You are powered by SWE-1.7 Lightning.
<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: Wednesday, 2026-07-08 </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. - **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) - **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) - **cloudflare-one-migrations**: Plans migrations from Zscaler ZIA/ZPA, Palo Alto, legacy VPN, SWG, or SASE stacks to Cloudflare One. Use for migration assessments, policy mapping, rollout plans, and parity/gap analysis. (source: /Users/root1/.claude/skills/cloudflare-one-migrations/SKILL.md) - **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/.claude/skills/wrangler/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/.claude/skills/cloudflare/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/.codeium/windsurf/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/.agents/skills/durable-objects/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) - **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) - **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/.agents/skills/cloudflare-one/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) - **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) - **workers-best-practices**: Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checking for common Workers anti-patterns (streaming, floating promises, global state, secrets, bindings, observability). Biases towards retrieval from Cloudflare docs over pre-trained knowledge. (source: /Users/root1/.claude/skills/workers-best-practices/SKILL.md) - **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) - **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) - **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) - **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/.codeium/windsurf/skills/sandbox-sdk/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) - **cloudflare-agent-setup**: (source: /Users/root1/.devin/skills/cloudflare-agent-setup/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) - **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) - **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) - **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) - **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) - **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) - **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 has provided a YouTube link. According to the rules: - "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" So I need to: 1. Use yt-dlp to get the auto-generated captions/transcript 2. Read and understand the full transcript 3. Summarize the video I should not name the session yet. Let me use yt-dlp to download/extract captions. I can use exec to run yt-dlp. First, let me check if yt-dlp is available and get the captions. I'll use yt-dlp with options to list subtitles or extract them. Actually, I should use --list-subs first, then download the auto-generated captions. But more efficiently, I can try to get the transcript directly. Let me run yt-dlp --list-subs first to see what's available. Wait - the rule says "get the autogenerrated captions to do this". So I need to specifically get auto-generated captions. Let me run: yt-dlp --list-subs "https://www.youtube.com/watch?v=oU7aWhKrcjs" Then based on that, download the auto subs.
I'll summarize this YouTube video for you. Let me start by checking the available captions with yt-dlp.
{
"command": "yt-dlp --list-subs \"https://www.youtube.com/watch?v=oU7aWhKrcjs\""
}Output from command in shell 2a6435:
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=oU7aWhKrcjs
[youtube] oU7aWhKrcjs: Downloading webpage
[youtube] oU7aWhKrcjs: Downloading tv client config
[youtube] oU7aWhKrcjs: Downloading player b2466c24-main
[youtube] oU7aWhKrcjs: Downloading tv player API JSON
[youtube] oU7aWhKrcjs: 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] oU7aWhKrcjs: 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 oU7aWhKrcjs:
Language Name Formats
ab-en Abkhazian from English vtt, srt, ttml, srv3, srv2, srv1, json3
aa-en Afar from English vtt, srt, ttml, srv3, srv2, srv1, json3
af-en Afrikaans from English vtt, srt, ttml, srv3, srv2, srv1, json3
ak-en Akan from English vtt, srt, ttml, srv3, srv2, srv1, json3
sq-en Albanian from English vtt, srt, ttml, srv3, srv2, srv1, json3
am-en Amharic from English vtt, srt, ttml, srv3, srv2, srv1, json3
ar-en Arabic from English vtt, srt, ttml, srv3, srv2, srv1, json3
hy-en Armenian from English vtt, srt, ttml, srv3, srv2, srv1, json3
as-en Assamese from English vtt, srt, ttml, srv3, srv2, srv1, json3
ay-en Aymara from English vtt, srt, ttml, srv3, srv2, srv1, json3
az-en Azerbaijani from English vtt, srt, ttml, srv3, srv2, srv1, json3
bn-en Bangla from English vtt, srt, ttml, srv3, srv2, srv1, json3
ba-en Bashkir from English vtt, srt, ttml, srv3, srv2, srv1, json3
eu-en Basque from English vtt, srt, ttml, srv3, srv2, srv1, json3
be-en Belarusian from English vtt, srt, ttml, srv3, srv2, srv1, json3
bho-en Bhojpuri from English vtt, srt, ttml, srv3, srv2, srv1, json3
bs-en Bosnian from English vtt, srt, ttml, srv3, srv2, srv1, json3
br-en Breton from English vtt, srt, ttml, srv3, srv2, srv1, json3
bg-en Bulgarian from English vtt, srt, ttml, srv3, srv2, srv1, json3
my-en Burmese from English vtt, srt, ttml, srv3, srv2, srv1, json3
ca-en Catalan from English vtt, srt, ttml, srv3, srv2, srv1, json3
ceb-en Cebuano from English vtt, srt, ttml, srv3, srv2, srv1, json3
zh-Hans-en Chinese (Simplified) from English vtt, srt, ttml, srv3, srv2, srv1, json3
zh-Hant-en Chinese (Traditional) from English vtt, srt, ttml, srv3, srv2, srv1, json3
co-en Corsican from English vtt, srt, ttml, srv3, srv2, srv1, json3
hr-en Croatian from English vtt, srt, ttml, srv3, srv2, srv1, json3
cs-en Czech from English vtt, srt, ttml, srv3, srv2, srv1, json3
da-en Danish from English vtt, srt, ttml, srv3, srv2, srv1, json3
dv-en Divehi from English vtt, srt, ttml, srv3, srv2, srv1, json3
nl-en Dutch from English vtt, srt, ttml, srv3, srv2, srv1, json3
dz-en Dzongkha from English vtt, srt, ttml, srv3, srv2, srv1, json3
en-en English from English vtt, srt, ttml, srv3, srv2, srv1, json3
eo-en Esperanto from English vtt, srt, ttml, srv3, srv2, srv1, json3
et-en Estonian from English vtt, srt, ttml, srv3, srv2, srv1, json3
ee-en Ewe from English vtt, srt, ttml, srv3, srv2, srv1, json3
fo-en Faroese from English vtt, srt, ttml, srv3, srv2, srv1, json3
fj-en Fijian from English vtt, srt, ttml, srv3, srv2, srv1, json3
fil-en Filipino from English vtt, srt, ttml, srv3, srv2, srv1, json3
fi-en Finnish from English vtt, srt, ttml, srv3, srv2, srv1, json3
fr-en French from English vtt, srt, ttml, srv3, srv2, srv1, json3
gaa-en Ga from English vtt, srt, ttml, srv3, srv2, srv1, json3
gl-en Galician from English vtt, srt, ttml, srv3, srv2, srv1, json3
lg-en Ganda from English vtt, srt, ttml, srv3, srv2, srv1, json3
ka-en Georgian from English vtt, srt, ttml, srv3, srv2, srv1, json3
de-en German from English vtt, srt, ttml, srv3, srv2, srv1, json3
el-en Greek from English vtt, srt, ttml, srv3, srv2, srv1, json3
gn-en Guarani from English vtt, srt, ttml, srv3, srv2, srv1, json3
gu-en Gujarati from English vtt, srt, ttml, srv3, srv2, srv1, json3
ht-en Haitian Creole from English vtt, srt, ttml, srv3, srv2, srv1, json3
ha-en Hausa from English vtt, srt, ttml, srv3, srv2, srv1, json3
haw-en Hawaiian from English vtt, srt, ttml, srv3, srv2, srv1, json3
iw-en Hebrew from English vtt, srt, ttml, srv3, srv2, srv1, json3
hi-en Hindi from English vtt, srt, ttml, srv3, srv2, srv1, json3
hmn-en Hmong from English vtt, srt, ttml, srv3, srv2, srv1, json3
hu-en Hungarian from English vtt, srt, ttml, srv3, srv2, srv1, json3
is-en Icelandic from English vtt, srt, ttml, srv3, srv2, srv1, json3
ig-en Igbo from English vtt, srt, ttml, srv3, srv2, srv1, json3
id-en Indonesian from English vtt, srt, ttml, srv3, srv2, srv1, json3
iu-en Inuktitut from English vtt, srt, ttml, srv3, srv2, srv1, json3
ga-en Irish from English vtt, srt, ttml, srv3, srv2, srv1, json3
it-en Italian from English vtt, srt, ttml, srv3, srv2, srv1, json3
ja-en Japanese from English vtt, srt, ttml, srv3, srv2, srv1, json3
jv-en Javanese from English vtt, srt, ttml, srv3, srv2, srv1, json3
kl-en Kalaallisut from English vtt, srt, ttml, srv3, srv2, srv1, json3
kn-en Kannada from English vtt, srt, ttml, srv3, srv2, srv1, json3
kk-en Kazakh from English vtt, srt, ttml, srv3, srv2, srv1, json3
kha-en Khasi from English vtt, srt, ttml, srv3, srv2, srv1, json3
km-en Khmer from English vtt, srt, ttml, srv3, srv2, srv1, json3
rw-en Kinyarwanda from English vtt, srt, ttml, srv3, srv2, srv1, json3
ko-en Korean from English vtt, srt, ttml, srv3, srv2, srv1, json3
kri-en Krio from English vtt, srt, ttml, srv3, srv2, srv1, json3
ku-en Kurdish from English vtt, srt, ttml, srv3, srv2, srv1, json3
ky-en Kyrgyz from English vtt, srt, ttml, srv3, srv2, srv1, json3
lo-en Lao from English vtt, srt, ttml, srv3, srv2, srv1, json3
la-en Latin from English vtt, srt, ttml, srv3, srv2, srv1, json3
lv-en Latvian from English vtt, srt, ttml, srv3, srv2, srv1, json3
ln-en Lingala from English vtt, srt, ttml, srv3, srv2, srv1, json3
lt-en Lithuanian from English vtt, srt, ttml, srv3, srv2, srv1, json3
lua-en Luba-Lulua from English vtt, srt, ttml, srv3, srv2, srv1, json3
luo-en Luo from English vtt, srt, ttml, srv3, srv2, srv1, json3
lb-en Luxembourgish from English vtt, srt, ttml, srv3, srv2, srv1, json3
mk-en Macedonian from English vtt, srt, ttml, srv3, srv2, srv1, json3
mg-en Malagasy from English vtt, srt, ttml, srv3, srv2, srv1, json3
ms-en Malay from English vtt, srt, ttml, srv3, srv2, srv1, json3
ml-en Malayalam from English vtt, srt, ttml, srv3, srv2, srv1, json3
mt-en Maltese from English vtt, srt, ttml, srv3, srv2, srv1, json3
gv-en Manx from English vtt, srt, ttml, srv3, srv2, srv1, json3
mi-en Māori from English vtt, srt, ttml, srv3, srv2, srv1, json3
mr-en Marathi from English vtt, srt, ttml, srv3, srv2, srv1, json3
mn-en Mongolian from English vtt, srt, ttml, srv3, srv2, srv1, json3
mfe-en Morisyen from English vtt, srt, ttml, srv3, srv2, srv1, json3
ne-en Nepali from English vtt, srt, ttml, srv3, srv2, srv1, json3
new-en Newari from English vtt, srt, ttml, srv3, srv2, srv1, json3
nso-en Northern Sotho from English vtt, srt, ttml, srv3, srv2, srv1, json3
no-en Norwegian from English vtt, srt, ttml, srv3, srv2, srv1, json3
ny-en Nyanja from English vtt, srt, ttml, srv3, srv2, srv1, json3
oc-en Occitan from English vtt, srt, ttml, srv3, srv2, srv1, json3
or-en Odia from English vtt, srt, ttml, srv3, srv2, srv1, json3
om-en Oromo from English vtt, srt, ttml, srv3, srv2, srv1, json3
os-en Ossetic from English vtt, srt, ttml, srv3, srv2, srv1, json3
pam-en Pampanga from English vtt, srt, ttml, srv3, srv2, srv1, json3
ps-en Pashto from English vtt, srt, ttml, srv3, srv2, srv1, json3
fa-en Persian from English vtt, srt, ttml, srv3, srv2, srv1, json3
pl-en Polish from English vtt, srt, ttml, srv3, srv2, srv1, json3
pt-en Portuguese from English vtt, srt, ttml, srv3, srv2, srv1, json3
pt-PT-en Portuguese (Portugal) from English vtt, srt, ttml, srv3, srv2, srv1, json3
pa-en Punjabi from English vtt, srt, ttml, srv3, srv2, srv1, json3
qu-en Quechua from English vtt, srt, ttml, srv3, srv2, srv1, json3
ro-en Romanian from English vtt, srt, ttml, srv3, srv2, srv1, json3
rn-en Rundi from English vtt, srt, ttml, srv3, srv2, srv1, json3
ru-en Russian from English vtt, srt, ttml, srv3, srv2, srv1, json3
sm-en Samoan from English vtt, srt, ttml, srv3, srv2, srv1, json3
sg-en Sango from English vtt, srt, ttml, srv3, srv2, srv1, json3
sa-en Sanskrit from English vtt, srt, ttml, srv3, srv2, srv1, json3
gd-en Scottish Gaelic from English vtt, srt, ttml, srv3, srv2, srv1, json3
sr-en Serbian from English vtt, srt, ttml, srv3, srv2, srv1, json3
crs-en Seselwa Creole French from English vtt, srt, ttml, srv3, srv2, srv1, json3
sn-en Shona from English vtt, srt, ttml, srv3, srv2, srv1, json3
sd-en Sindhi from English vtt, srt, ttml, srv3, srv2, srv1, json3
si-en Sinhala from English vtt, srt, ttml, srv3, srv2, srv1, json3
sk-en Slovak from English vtt, srt, ttml, srv3, srv2, srv1, json3
sl-en Slovenian from English vtt, srt, ttml, srv3, srv2, srv1, json3
so-en Somali from English vtt, srt, ttml, srv3, srv2, srv1, json3
st-en Southern Sotho from English vtt, srt, ttml, srv3, srv2, srv1, json3
es-en Spanish from English vtt, srt, ttml, srv3, srv2, srv1, json3
su-en Sundanese from English vtt, srt, ttml, srv3, srv2, srv1, json3
sw-en Swahili from English vtt, srt, ttml, srv3, srv2, srv1, json3
ss-en Swati from English vtt, srt, ttml, srv3, srv2, srv1, json3
sv-en Swedish from English vtt, srt, ttml, srv3, srv2, srv1, json3
tg-en Tajik from English vtt, srt, ttml, srv3, srv2, srv1, json3
ta-en Tamil from English vtt, srt, ttml, srv3, srv2, srv1, json3
tt-en Tatar from English vtt, srt, ttml, srv3, srv2, srv1, json3
te-en Telugu from English vtt, srt, ttml, srv3, srv2, srv1, json3
th-en Thai from English vtt, srt, ttml, srv3, srv2, srv1, json3
bo-en Tibetan from English vtt, srt, ttml, srv3, srv2, srv1, json3
ti-en Tigrinya from English vtt, srt, ttml, srv3, srv2, srv1, json3
to-en Tongan from English vtt, srt, ttml, srv3, srv2, srv1, json3
ts-en Tsonga from English vtt, srt, ttml, srv3, srv2, srv1, json3
tn-en Tswana from English vtt, srt, ttml, srv3, srv2, srv1, json3
tum-en Tumbuka from English vtt, srt, ttml, srv3, srv2, srv1, json3
tr-en Turkish from English vtt, srt, ttml, srv3, srv2, srv1, json3
tk-en Turkmen from English vtt, srt, ttml, srv3, srv2, srv1, json3
uk-en Ukrainian from English vtt, srt, ttml, srv3, srv2, srv1, json3
ur-en Urdu from English vtt, srt, ttml, srv3, srv2, srv1, json3
ug-en Uyghur from English vtt, srt, ttml, srv3, srv2, srv1, json3
uz-en Uzbek from English vtt, srt, ttml, srv3, srv2, srv1, json3
ve-en Venda from English vtt, srt, ttml, srv3, srv2, srv1, json3
vi-en Vietnamese from English vtt, srt, ttml, srv3, srv2, srv1, json3
war-en Waray from English vtt, srt, ttml, srv3, srv2, srv1, json3
cy-en Welsh from English vtt, srt, ttml, srv3, srv2, srv1, json3
fy-en Western Frisian from English vtt, srt, ttml, srv3, srv2, srv1, json3
wo-en Wolof from English vtt, srt, ttml, srv3, srv2, srv1, json3
xh-en Xhosa from English vtt, srt, ttml, srv3, srv2, srv1, json3
yi-en Yiddish from English vtt, srt, ttml, srv3, srv2, srv1, json3
yo-en Yoruba from English vtt, srt, ttml, srv3, srv2, srv1, json3
zu-en Zulu from English vtt, srt, ttml, srv3, srv2, srv1, json3
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
[info] Available subtitles for oU7aWhKrcjs:
Language Name Formats
en English vtt, srt, ttml, srv3, srv2, srv1, json3
Exit code: 0Good, I can see there are automatic captions available. There's "en-orig" (English Original) and "en" (English) in the automatic captions, plus regular subtitle "en" (English) in available subtitles. Since the rule says "get the autogenerrated captions", I should use the automatic captions. The "en-orig" might be the original auto-generated English captions. Let me download the English auto-generated captions. I'll use yt-dlp to download just the subtitles in srt format. Actually, I'll use --write-auto-subs and --sub-langs en --skip-download to get only the auto-generated English captions. Let me write to a temp file. I'll output to /tmp or similar. Let me run: yt-dlp --write-auto-subs --sub-langs en-orig --skip-download --sub-format srt -o "/tmp/video_captions.%(ext)s" "https://www.youtube.com/watch?v=oU7aWhKrcjs" Wait, I should think about which language code. "en-orig" is "English (Original)" from automatic captions. "en" under automatic captions is "English from English" which is the auto-translated version. For auto-generated captions in the original language, I should use "en-orig" for English original. But actually, the standard way to get auto-generated captions is to use --write-auto-subs --sub-langs en. Let me use that. Let me try both approaches if needed. First try --write-auto-subs --sub-langs en-orig. Also I want the transcript in a clean text format. SRT includes timestamps. I can either use a tool to extract text from SRT or use --convert-subs. Actually, I could download json3 format and extract text, or just use a simple sed/awk to strip timestamps. Let me use srt and then strip timestamps. Let me create a temp directory.
{
"command": "mkdir -p /tmp/yt_summary && yt-dlp --write-auto-subs --sub-langs en-orig --skip-download --sub-format srt -o \"/tmp/yt_summary/captions.%(ext)s\" \"https://www.youtube.com/watch?v=oU7aWhKrcjs\""
}Output from command in shell d3d104:
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=oU7aWhKrcjs
[youtube] oU7aWhKrcjs: Downloading webpage
[youtube] oU7aWhKrcjs: Downloading tv client config
[youtube] oU7aWhKrcjs: Downloading player ecd4b80a-main
[youtube] oU7aWhKrcjs: Downloading tv player API JSON
[youtube] oU7aWhKrcjs: 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] oU7aWhKrcjs: 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] oU7aWhKrcjs: Downloading subtitles: en-orig
[info] oU7aWhKrcjs: Downloading 1 format(s): 139
[info] Writing video subtitles to: /tmp/yt_summary/captions.en-orig.srt
[download] Destination: /tmp/yt_summary/captions.en-orig.srt
[download] 1.00KiB at Unknown B/s (00:00:00)
[download] 3.00KiB at Unknown B/s (00:00:00)
[download] 7.00KiB at Unknown B/s (00:00:00)
[download] 15.00KiB at 5.27MiB/s (00:00:00)
[download] 17.70KiB at 5.41MiB/s (00:00:00)
[download] 100% of 17.70KiB in 00:00:00 at 158.74KiB/s
Exit code: 0Good, the captions were downloaded. Now I need to read the full transcript. The SRT file has timestamps. Let me read it.
{
"file_path": "/tmp/yt_summary/captions.en-orig.srt"
}<file-view path="/tmp/yt_summary/captions.en-orig.srt" start_line="1" end_line="996" total_lines="996"> 1|1 2|00:00:00,080 --> 00:00:06,640 3|How much do you have to spend on a good 4| 5|2 6|00:00:01,839 --> 00:00:09,200 7|1440p gaming monitor? 200, 250, 300? 8| 9|3 10|00:00:06,640 --> 00:00:11,200 11|Well, you could spend that much, but if 12| 13|4 14|00:00:09,200 --> 00:00:13,679 15|you sort from lowest to highest price, 16| 17|5 18|00:00:11,200 --> 00:00:15,839 19|you might be surprised how cheap 1440p 20| 21|6 22|00:00:13,679 --> 00:00:17,600 23|monitors have become. Sure, there's 24| 25|7 26|00:00:15,839 --> 00:00:20,560 27|probably a lot of junk at this price 28| 29|8 30|00:00:17,600 --> 00:00:22,560 31|range, but some do look very promising. 32| 33|9 34|00:00:20,560 --> 00:00:24,640 35|And these three monitors are the ones I 36| 37|10 38|00:00:22,560 --> 00:00:26,880 39|think look the most promising. I picked 40| 41|11 42|00:00:24,640 --> 00:00:29,119 43|this one here, the KTC, because I've 44| 45|12 46|00:00:26,880 --> 00:00:30,640 47|tested a few KTC monitors in the past, 48| 49|13 50|00:00:29,119 --> 00:00:32,719 51|and pretty much every single one 52| 53|14 54|00:00:30,640 --> 00:00:34,880 55|performed better than you'd expect for 56| 57|15 58|00:00:32,719 --> 00:00:36,880 59|the price. So, I have very high hopes 60| 61|16 62|00:00:34,880 --> 00:00:38,879 63|for this one. Then, we have this monitor 64| 65|17 66|00:00:36,880 --> 00:00:40,960 67|by Gigabyte. I wanted to see what the 68| 69|18 70|00:00:38,879 --> 00:00:42,640 71|more mainstream brands have to offer in 72| 73|19 74|00:00:40,960 --> 00:00:44,640 75|the budget segment. And this one from 76| 77|20 78|00:00:42,640 --> 00:00:46,719 79|Gigabyte is one of the cheapest name 80| 81|21 82|00:00:44,640 --> 00:00:48,960 83|brand offerings available. And this one 84| 85|22 86|00:00:46,719 --> 00:00:52,239 87|is a bit of a wild card. I've never even 88| 89|23 90|00:00:48,960 --> 00:00:55,360 91|heard of this brand before. AMZ Fast or 92| 93|24 94|00:00:52,239 --> 00:00:57,600 95|Amaze Fast. amazing fast. I don't even 96| 97|25 98|00:00:55,360 --> 00:00:59,680 99|know. I'm going call them AMZ fast for 100| 101|26 102|00:00:57,600 --> 00:01:01,520 103|now. But this one has very promising 104| 105|27 106|00:00:59,680 --> 00:01:04,159 107|specs for the money. I've seen it for as 108| 109|28 110|00:01:01,520 --> 00:01:07,119 111|low as 150 US, which is kind of crazy 112| 113|29 114|00:01:04,159 --> 00:01:09,360 115|for a 200Hz IPS monitor. But of course, 116| 117|30 118|00:01:07,119 --> 00:01:11,200 119|it also has to live up to these specs. 120| 121|31 122|00:01:09,360 --> 00:01:14,880 123|The other two monitors have very similar 124| 125|32 126|00:01:11,200 --> 00:01:16,799 127|specs. All three are 27 in 1440p IPS 128| 129|33 130|00:01:14,880 --> 00:01:18,560 131|monitors, but the refresh rates are 132| 133|34 134|00:01:16,799 --> 00:01:21,680 135|slightly different, and all three can 136| 137|35 138|00:01:18,560 --> 00:01:23,280 139|usually be found in the $150 to $170 140| 141|36 142|00:01:21,680 --> 00:01:24,560 143|price range. I have them linked down 144| 145|37 146|00:01:23,280 --> 00:01:26,720 147|below if you want to check the current 148| 149|38 150|00:01:24,560 --> 00:01:29,119 151|prices in your region or pick one up. 152| 153|39 154|00:01:26,720 --> 00:01:31,200 155|Okay, let's put them side by side and 156| 157|40 158|00:01:29,119 --> 00:01:33,040 159|see if any of these is even worth 160| 161|41 162|00:01:31,200 --> 00:01:34,640 163|picking up. Now, the first thing you're 164| 165|42 166|00:01:33,040 --> 00:01:36,960 167|going to notice is that the same video 168| 169|43 170|00:01:34,640 --> 00:01:38,960 171|footage looks different on each monitor. 172| 173|44 174|00:01:36,960 --> 00:01:41,520 175|This is with out of the box settings and 176| 177|45 178|00:01:38,960 --> 00:01:43,360 179|the brightness turned up to 100% on each 180| 181|46 182|00:01:41,520 --> 00:01:45,680 183|monitor. The AMZ in the middle and the 184| 185|47 186|00:01:43,360 --> 00:01:47,520 187|KTC on the right look somewhat similar 188| 189|48 190|00:01:45,680 --> 00:01:50,159 191|in most scenes, but the Gigabyte on the 192| 193|49 194|00:01:47,520 --> 00:01:52,399 195|left looks quite different and actually 196| 197|50 198|00:01:50,159 --> 00:01:54,320 199|a bit worse. I'd say part of that comes 200| 201|51 202|00:01:52,399 --> 00:01:56,399 203|down to the maximum brightness. The 204| 205|52 206|00:01:54,320 --> 00:01:58,640 207|Gigabyte is the dimst monitor of the 208| 209|53 210|00:01:56,399 --> 00:02:00,719 211|trio, which naturally makes it look a 212| 213|54 214|00:01:58,640 --> 00:02:02,560 215|bit dull when comparing the monitors at 216| 217|55 218|00:02:00,719 --> 00:02:04,640 219|maximum brightness. And as you might 220| 221|56 222|00:02:02,560 --> 00:02:07,040 223|have noticed, the image is too warm on 224| 225|57 226|00:02:04,640 --> 00:02:08,959 227|the Gigabyte, which also doesn't help. 228| 229|58 230|00:02:07,040 --> 00:02:11,120 231|Without making any adjustments, white 232| 233|59 234|00:02:08,959 --> 00:02:12,640 235|looks the most accurate on the AMZ, but 236| 237|60 238|00:02:11,120 --> 00:02:14,560 239|neither of these monitors has an 240| 241|61 242|00:02:12,640 --> 00:02:16,400 243|accurate white point out of the box. 244| 245|62 246|00:02:14,560 --> 00:02:19,360 247|Generally speaking, the Gigabyte has the 248| 249|63 250|00:02:16,400 --> 00:02:21,200 251|worst factory setup. The KTC is slightly 252| 253|64 254|00:02:19,360 --> 00:02:23,360 255|better, while the AMZ is the most 256| 257|65 258|00:02:21,200 --> 00:02:25,200 259|accurate monitor out of the box. But all 260| 261|66 262|00:02:23,360 --> 00:02:27,200 263|three look pretty decent with default 264| 265|67 266|00:02:25,200 --> 00:02:28,879 267|settings, and more expensive monitors 268| 269|68 270|00:02:27,200 --> 00:02:30,800 271|typically aren't any more accurate out 272| 273|69 274|00:02:28,879 --> 00:02:32,400 275|of the box either. Unfortunately, most 276| 277|70 278|00:02:30,800 --> 00:02:34,879 279|of the inaccuracies come down to the 280| 281|71 282|00:02:32,400 --> 00:02:36,959 283|white point, which is pretty easy to fix 284| 285|72 286|00:02:34,879 --> 00:02:38,959 287|with custom settings. Both the AMZ and 288| 289|73 290|00:02:36,959 --> 00:02:40,959 291|the KTC measure pretty well. The 292| 293|74 294|00:02:38,959 --> 00:02:42,640 295|Gigabyte, though, doesn't perform quite 296| 297|75 298|00:02:40,959 --> 00:02:44,560 299|as good. But this might be somewhat 300| 301|76 302|00:02:42,640 --> 00:02:47,280 303|unfair as we're measuring against the 304| 305|77 306|00:02:44,560 --> 00:02:49,040 307|larger P3 color space which the Gigabyte 308| 309|78 310|00:02:47,280 --> 00:02:51,040 311|can't fully reproduce. More about that 312| 313|79 314|00:02:49,040 --> 00:02:53,120 315|in a second. If we measure the Gigabyte 316| 317|80 318|00:02:51,040 --> 00:02:54,879 319|against the smaller sRGB color space, 320| 321|81 322|00:02:53,120 --> 00:02:56,640 323|it's almost on par with the other two 324| 325|82 326|00:02:54,879 --> 00:02:59,200 327|monitors. And this is what they look 328| 329|83 330|00:02:56,640 --> 00:03:01,120 331|like with Q settings and set to the same 332| 333|84 334|00:02:59,200 --> 00:03:03,840 335|brightness. I only changed some settings 336| 337|85 338|00:03:01,120 --> 00:03:06,000 339|in the OSD. So, this is without full 340| 341|86 342|00:03:03,840 --> 00:03:07,760 343|calibration in the ICC profiles, but I 344| 345|87 346|00:03:06,000 --> 00:03:09,040 347|have the ICC profiles I created for 348| 349|88 350|00:03:07,760 --> 00:03:10,640 351|these monitors linked in the video 352| 353|89 354|00:03:09,040 --> 00:03:12,720 355|description down below, as well as the 356| 357|90 358|00:03:10,640 --> 00:03:14,720 359|exact settings I'm using here. Now, I 360| 361|91 362|00:03:12,720 --> 00:03:16,400 363|already hinted that the Gigabyte has a 364| 365|92 366|00:03:14,720 --> 00:03:19,040 367|smaller color gamut volume than the 368| 369|93 370|00:03:16,400 --> 00:03:20,959 371|other two monitors, so some colors look 372| 373|94 374|00:03:19,040 --> 00:03:22,640 375|less saturated. Might be pretty 376| 377|95 378|00:03:20,959 --> 00:03:24,159 379|difficult to pick up depending on the 380| 381|96 382|00:03:22,640 --> 00:03:26,640 383|screen you're watching this on, but both 384| 385|97 386|00:03:24,159 --> 00:03:28,640 387|the AMZ and KDC look a good bit more 388| 389|98 390|00:03:26,640 --> 00:03:32,319 391|saturated. Both are able to cover 392| 393|99 394|00:03:28,640 --> 00:03:34,239 395|roughly 140% of the sRGB color gamut 396| 397|100 398|00:03:32,319 --> 00:03:36,480 399|volume, while the Gigabyte can't really 400| 401|101 402|00:03:34,239 --> 00:03:37,760 403|be called a wide gamut monitor. And 404| 405|102 406|00:03:36,480 --> 00:03:40,239 407|there is another thing that makes the 408| 409|103 410|00:03:37,760 --> 00:03:42,480 411|Gigabyte fall behind in this comparison, 412| 413|104 414|00:03:40,239 --> 00:03:45,280 415|the contrast ratio. All of these are 416| 417|105 418|00:03:42,480 --> 00:03:47,200 419|standard IPS monitors. No local dimming, 420| 421|106 422|00:03:45,280 --> 00:03:48,879 423|no mini LED backlight. So naturally, 424| 425|107 426|00:03:47,200 --> 00:03:50,879 427|neither of these monitors is able to 428| 429|108 430|00:03:48,879 --> 00:03:52,879 431|render deep blacks. However, the 432| 433|109 434|00:03:50,879 --> 00:03:54,480 435|Gigabyte has the highest black level of 436| 437|110 438|00:03:52,879 --> 00:03:56,480 439|these three. As you can see in this 440| 441|111 442|00:03:54,480 --> 00:03:58,319 443|shot, I cranked up my camera's ISO here 444| 445|112 446|00:03:56,480 --> 00:03:59,840 447|to make it easier to see, but you might 448| 449|113 450|00:03:58,319 --> 00:04:02,000 451|even be able to spot it in the shadow 452| 453|114 454|00:03:59,840 --> 00:04:03,920 455|areas in scenes like this. Putting some 456| 457|115 458|00:04:02,000 --> 00:04:06,400 459|numbers to it, the Gigabyte is close to 460| 461|116 462|00:04:03,920 --> 00:04:08,879 463|the standard 1,00 to1 contrast ratio 464| 465|117 466|00:04:06,400 --> 00:04:11,840 467|that's typical for IPS panels, while the 468| 469|118 470|00:04:08,879 --> 00:04:14,480 471|other two almost reach 1,400 to1, which 472| 473|119 474|00:04:11,840 --> 00:04:16,799 475|is pretty good for IPS monitors. Now, 476| 477|120 478|00:04:14,480 --> 00:04:19,040 479|when it comes to HDR, neither of these 480| 481|121 482|00:04:16,799 --> 00:04:21,359 483|monitors will give you a good HDR 484| 485|122 486|00:04:19,040 --> 00:04:23,280 487|experience. These standard IPS panels 488| 489|123 490|00:04:21,359 --> 00:04:25,280 491|just aren't capable of producing the 492| 493|124 494|00:04:23,280 --> 00:04:27,759 495|brightness and contrast that's necessary 496| 497|125 498|00:04:25,280 --> 00:04:29,840 499|for proper HDR. That being said, all 500| 501|126 502|00:04:27,759 --> 00:04:31,919 503|three accept HDR signals, and the 504| 505|127 506|00:04:29,840 --> 00:04:34,400 507|Gigabyte and KDC do a decent job 508| 509|128 510|00:04:31,919 --> 00:04:36,639 511|reproducing HDR content within their 512| 513|129 514|00:04:34,400 --> 00:04:39,120 515|capabilities. The AMZ really doesn't 516| 517|130 518|00:04:36,639 --> 00:04:41,360 519|measure too well, but visually it's also 520| 521|131 522|00:04:39,120 --> 00:04:44,400 523|fine. Again, all three monitors aren't 524| 525|132 526|00:04:41,360 --> 00:04:45,919 527|really meant for HDR anyways, so this is 528| 529|133 530|00:04:44,400 --> 00:04:47,680 531|something we shouldn't pay too much 532| 533|134 534|00:04:45,919 --> 00:04:50,080 535|attention to. After all, we're talking 536| 537|135 538|00:04:47,680 --> 00:04:51,919 539|about plain normal IPS monitors here, 540| 541|136 542|00:04:50,080 --> 00:04:53,919 543|which really are meant to be used for 544| 545|137 546|00:04:51,919 --> 00:04:55,680 547|SDR. And considering how affordable 548| 549|138 550|00:04:53,919 --> 00:04:57,440 551|these monitors are, I have to say I'm 552| 553|139 554|00:04:55,680 --> 00:05:00,479 555|pretty impressed with the SPR image 556| 557|140 558|00:04:57,440 --> 00:05:02,880 559|quality of the AMZ and KTC. The Gigabyte 560| 561|141 562|00:05:00,479 --> 00:05:05,199 563|also is solid for its price. The image 564| 565|142 566|00:05:02,880 --> 00:05:07,759 567|quality and color accuracy aren't bad by 568| 569|143 570|00:05:05,199 --> 00:05:10,000 571|any means, but the AMZ and KTC just 572| 573|144 574|00:05:07,759 --> 00:05:12,720 575|punch above their price class. Both also 576| 577|145 578|00:05:10,000 --> 00:05:14,479 579|perform very similar, so I wouldn't even 580| 581|146 582|00:05:12,720 --> 00:05:16,320 583|be surprised if these were using the 584| 585|147 586|00:05:14,479 --> 00:05:17,759 587|exact same panel. Through the factory 588| 589|148 590|00:05:16,320 --> 00:05:20,639 591|menu, I was able to figure out the 592| 593|149 594|00:05:17,759 --> 00:05:22,560 595|panels of the AMZ and Gigabyte, but KTZ 596| 597|150 598|00:05:20,639 --> 00:05:24,479 599|likes to give their panels custom names 600| 601|151 602|00:05:22,560 --> 00:05:26,639 603|in the factory menu. So, I don't really 604| 605|152 606|00:05:24,479 --> 00:05:28,720 607|know if they're using the same BOE panel 608| 609|153 610|00:05:26,639 --> 00:05:30,720 611|or not. At the very least, it's a very 612| 613|154 614|00:05:28,720 --> 00:05:33,280 615|similar panel. But one thing I'm not 616| 617|155 618|00:05:30,720 --> 00:05:36,080 619|really a fan of is the coding on the AMZ 620| 621|156 622|00:05:33,280 --> 00:05:38,000 623|and KDC. Again, the AMZ and KDC look 624| 625|157 626|00:05:36,080 --> 00:05:39,520 627|pretty much identical here, which 628| 629|158 630|00:05:38,000 --> 00:05:41,680 631|further supports the idea that they're 632| 633|159 634|00:05:39,520 --> 00:05:44,320 635|using the same panel, and both have this 636| 637|160 638|00:05:41,680 --> 00:05:46,800 639|very strong haze anti-glare finish. The 640| 641|161 642|00:05:44,320 --> 00:05:49,199 643|Gigabyte is matte as well, but it's way 644| 645|162 646|00:05:46,800 --> 00:05:51,280 647|less hazy, which I think looks better. 648| 649|163 650|00:05:49,199 --> 00:05:53,120 651|So far, I think the coding has been the 652| 653|164 654|00:05:51,280 --> 00:05:54,960 655|only aspect where I actually prefer the 656| 657|165 658|00:05:53,120 --> 00:05:56,880 659|Gigabyte, but this might change when 660| 661|166 662|00:05:54,960 --> 00:06:00,000 663|we're taking a look at how these perform 664| 665|167 666|00:05:56,880 --> 00:06:02,800 667|gaming. On paper, the KTC looks like it 668| 669|168 670|00:06:00,000 --> 00:06:05,039 671|has the edge for gaming with its 210 Hz 672| 673|169 674|00:06:02,800 --> 00:06:07,440 675|refresh rate, followed by the 200 Hz 676| 677|170 678|00:06:05,039 --> 00:06:09,360 679|AMZ. But the Gigabyte actually has the 680| 681|171 682|00:06:07,440 --> 00:06:10,720 683|fastest response times of these three. 684| 685|172 686|00:06:09,360 --> 00:06:12,560 687|So, even though it's running at a 688| 689|173 690|00:06:10,720 --> 00:06:14,639 691|slightly lower refresh rate, motion 692| 693|174 694|00:06:12,560 --> 00:06:17,360 695|looks slightly clearer on the Gigabyte. 696| 697|175 698|00:06:14,639 --> 00:06:19,120 699|Both the AMZ and KDC show more smuring, 700| 701|176 702|00:06:17,360 --> 00:06:20,960 703|mostly in the dark track, which the 704| 705|177 706|00:06:19,120 --> 00:06:23,919 707|Gigabyte does not. However, the 708| 709|178 710|00:06:20,960 --> 00:06:25,520 711|Gigabytes best overdrive mode, Smart OD, 712| 713|179 714|00:06:23,919 --> 00:06:28,639 715|is only optimized for the highest 716| 717|180 718|00:06:25,520 --> 00:06:30,720 719|refresh rate. Here at 120 Hz, it has 720| 721|181 722|00:06:28,639 --> 00:06:33,840 723|visible inverse ghosting, while the best 724| 725|182 726|00:06:30,720 --> 00:06:36,400 727|modes on the AMZ and KTZ true single 728| 729|183 730|00:06:33,840 --> 00:06:37,919 731|overdrive mode experience down to 60 Hz. 732| 733|184 734|00:06:36,400 --> 00:06:40,800 735|On the Gigabyte, you either have to 736| 737|185 738|00:06:37,919 --> 00:06:42,560 739|switch modes below 140 Hz, or just stick 740| 741|186 742|00:06:40,800 --> 00:06:44,639 743|to the picture quality overdrive 744| 745|187 746|00:06:42,560 --> 00:06:46,800 747|setting, which ironically makes the 748| 749|188 750|00:06:44,639 --> 00:06:49,120 751|Gigabyte just as slow as the other two, 752| 753|189 754|00:06:46,800 --> 00:06:50,880 755|with all three now averaging around a 6 756| 757|190 758|00:06:49,120 --> 00:06:52,560 759|millisecond response time. It's a 760| 761|191 762|00:06:50,880 --> 00:06:54,639 763|similar story when it comes to lag. 764| 765|192 766|00:06:52,560 --> 00:06:56,400 767|There's just a 0.3 millisecond 768| 769|193 770|00:06:54,639 --> 00:06:58,080 771|difference between the slowest and the 772| 773|194 774|00:06:56,400 --> 00:07:00,319 775|fastest result, which is totally 776| 777|195 778|00:06:58,080 --> 00:07:02,560 779|negligible. Adaptive sync also works 780| 781|196 782|00:07:00,319 --> 00:07:04,720 783|flawlessly on all three, no flickering, 784| 785|197 786|00:07:02,560 --> 00:07:06,479 787|exactly how it should be. So, in the 788| 789|198 790|00:07:04,720 --> 00:07:08,400 791|end, these are pretty evenly matched 792| 793|199 794|00:07:06,479 --> 00:07:10,800 795|when it comes to gaming. The Gigabyte 796| 797|200 798|00:07:08,400 --> 00:07:12,720 799|has a tiny advantage if you're only ever 800| 801|201 802|00:07:10,800 --> 00:07:14,800 803|playing at the highest refresh rate, but 804| 805|202 806|00:07:12,720 --> 00:07:16,880 807|it's hard to pick a clear winner here. 808| 809|203 810|00:07:14,800 --> 00:07:19,120 811|All three are solid gaming monitors, 812| 813|204 814|00:07:16,880 --> 00:07:21,280 815|really. Now, but one thing I don't like 816| 817|205 818|00:07:19,120 --> 00:07:23,440 819|about these monitors are the ergonomics. 820| 821|206 822|00:07:21,280 --> 00:07:25,360 823|Sure, it's a cost-saving measure, but 824| 825|207 826|00:07:23,440 --> 00:07:27,440 827|these only come with the most basic 828| 829|208 830|00:07:25,360 --> 00:07:29,759 831|stands. No height adjustment at all, 832| 833|209 834|00:07:27,440 --> 00:07:31,840 835|only tilt. So, I'd strongly recommend 836| 837|210 838|00:07:29,759 --> 00:07:34,000 839|getting a monitor arm, especially for 840| 841|211 842|00:07:31,840 --> 00:07:36,960 843|the Gigabyte. just sits way too low for 844| 845|212 846|00:07:34,000 --> 00:07:39,120 847|good ergonomics. The AMZ and KDC sit a 848| 849|213 850|00:07:36,960 --> 00:07:41,520 851|bit higher and the KDC stand is even 852| 853|214 854|00:07:39,120 --> 00:07:43,199 855|made for metal, which is nice, I guess, 856| 857|215 858|00:07:41,520 --> 00:07:45,120 859|but it doesn't change anything about the 860| 861|216 862|00:07:43,199 --> 00:07:46,880 863|terrible ergonomics. That's just 864| 865|217 866|00:07:45,120 --> 00:07:48,720 867|something to factor in with these budget 868| 869|218 870|00:07:46,880 --> 00:07:50,720 871|monitors. You got to spend a few bucks 872| 873|219 874|00:07:48,720 --> 00:07:53,039 875|extra on a decent monitor arm. These 876| 877|220 878|00:07:50,720 --> 00:07:56,160 879|monitors are very focused on the display 880| 881|221 882|00:07:53,039 --> 00:07:58,080 883|itself. No fancy stand, nor RGB, no 884| 885|222 886|00:07:56,160 --> 00:08:00,319 887|gimmicks, and that certainly helps keep 888| 889|223 890|00:07:58,080 --> 00:08:01,599 891|the price low. So, yeah, overall, I'm 892| 893|224 894|00:08:00,319 --> 00:08:04,160 895|very impressed with these budget 896| 897|225 898|00:08:01,599 --> 00:08:06,319 899|monitors. The monitors from AMZ and KTC 900| 901|226 902|00:08:04,160 --> 00:08:09,680 903|in particular offer great value for 904| 905|227 906|00:08:06,319 --> 00:08:12,560 907|money. I kind of expected that from KTC, 908| 909|228 910|00:08:09,680 --> 00:08:14,560 911|but AMZ Fast certainly wasn't a brand I 912| 913|229 914|00:08:12,560 --> 00:08:16,000 915|had on my radar, and I'm pleasantly 916| 917|230 918|00:08:14,560 --> 00:08:17,919 919|surprised. Of course, with these 920| 921|231 922|00:08:16,000 --> 00:08:19,680 923|lesserknown brands, it's always a bit of 924| 925|232 926|00:08:17,919 --> 00:08:21,919 927|a gamble when it comes to things like 928| 929|233 930|00:08:19,680 --> 00:08:23,840 931|warranty or support. That's not to say 932| 933|234 934|00:08:21,919 --> 00:08:25,680 935|that the mainstream brands always do a 936| 937|235 938|00:08:23,840 --> 00:08:27,840 939|great job, but at least they've been 940| 941|236 942|00:08:25,680 --> 00:08:29,520 943|around for a while, so I can understand 944| 945|237 946|00:08:27,840 --> 00:08:31,759 947|why some people might prefer something 948| 949|238 950|00:08:29,520 --> 00:08:34,640 951|like this Gigabyte monitor. And yeah, it 952| 953|239 954|00:08:31,759 --> 00:08:37,360 955|fell behind the AMZ and KTC in a few 956| 957|240 958|00:08:34,640 --> 00:08:38,880 959|areas, but it's still a great buy. It 960| 961|241 962|00:08:37,360 --> 00:08:40,560 963|doesn't quite reach the contrast and 964| 965|242 966|00:08:38,880 --> 00:08:42,320 967|color saturation you get from the other 968| 969|243 970|00:08:40,560 --> 00:08:44,800 971|two, but it has slightly faster response 972| 973|244 974|00:08:42,320 --> 00:08:46,640 975|times. A pretty solid monitor for around 976| 977|245 978|00:08:44,800 --> 00:08:48,399 979|150 bucks. Really goes to show that you 980| 981|246 982|00:08:46,640 --> 00:08:51,279 983|don't have to spend much anymore to get 984| 985|247 986|00:08:48,399 --> 00:08:53,360 987|a good 1440p monitor, even from a name 988| 989|248 990|00:08:51,279 --> 00:08:56,000 991|brand. Thanks for watching. Build some 992| 993|249 994|00:08:53,360 --> 00:08:56,000 995|list in video. </file-view>
Now I have the full transcript. Let me read and understand it. The video is a review/comparison of three budget 1440p gaming monitors: KTC, Gigabyte, and AMZ Fast (or Amaze Fast). Key points: - Three 27-inch 1440p IPS monitors in $150-$170 price range - Refresh rates differ: KTC 210Hz, AMZ 200Hz, Gigabyte lower (probably 180Hz or so, though not explicitly stated) - Out of box: Gigabyte looks worst - dimmest, too warm white point, smaller color gamut - AMZ most accurate out of box, KTC slightly better than Gigabyte - Gigabyte has smaller color gamut volume, can't be called wide gamut - Contrast: Gigabyte ~1000:1 (standard IPS), AMZ and KTC ~1400:1 - HDR not good on any, but Gigabyte and KTC decent; AMZ doesn't measure well but visually fine - AMZ and KTC have strong haze anti-glare finish; Gigabyte less hazy matte coating preferred - Gaming: Gigabyte has fastest response times and Smart OD mode, but only optimized for highest refresh rate; has inverse ghosting at 120Hz - AMZ and KTC show more smearing in dark tracks - All three have adaptive sync working well, low lag (0.3ms difference) - Ergonomics basic on all - only tilt, no height adjustment; recommend monitor arm - KTC stand is metal - Conclusion: AMZ and KTC offer great value; Gigabyte solid for name brand with slightly faster response times I should also check the video title maybe. I didn't fetch it. But I can infer from content. The video is about cheap 1440p gaming monitors. Now I need to provide a summary. The user just pasted the link, which according to rules means "use yt-dlp to summarize the video". So I should provide the summary. I should not name the session, per the rule "do not name the session until after reading and understanding the full YouTube video transcript". I've now read it, but I shouldn't name the session anyway since the user didn't ask me to. Actually, the rule says don't name the session until after reading transcript - but naming a session is not something I normally do. Maybe it refers to some external naming. Anyway, I'll just provide the summary. Let me provide a concise but comprehensive summary.
The video compares three inexpensive 27-inch 1440p IPS gaming monitors in the $150–$170 range:
Image quality (SDR)
Coating
Gaming performance
Ergonomics & build
The reviewer concludes that you no longer need to spend much to get a good 1440p monitor, even from a name brand.