Talk Python to Me llms.txt · AI Docs Browser · mdream [llms.txt Tools](https://mdream.dev/llms-txt/talk-python-to-me/llms-txt) # Talk Python to Me llms.txt Browse Talk Python to Me documentation as markdown. Click any page in the sidebar to view it, or copy the full llms.txt for your AI tools. talkpython.fm/llms.txt [Raw llms.txt](https://talkpython.fm/llms.txt) [Raw llms-full.txt](https://talkpython.fm/llms-full.txt) Copy Markdown [](https://talkpython.fm/llms.txt) llms.txt About the Podcast Current Stats Key Information API & Tools MCP Documentation MCP Server Card CLI Tool Search API Content All Episodes Guests Blog Sponsors Training Talk Python Training Optional RSS Feed Transcripts via URL Transcripts via MCP ## What is Talk Python to Me's llms.txt? Talk Python to Me publishes an `/llms.txt` file that provides AI systems with a structured index of its documentation. It follows the [llms.txt specification](https://llmstxt.org), organizing links to guides, API references, and tutorials under section headings so that LLMs like ChatGPT, Claude, and Gemini can quickly understand what Talk Python to Me offers and where to find details. Pass Spec 7 Sections 12 Links 3.4 KB Size ~865 Tokens Sections: About the Podcast · Current Stats · Key Information · API & Tools · Content · Training · and 1 more ## Add Talk Python to Me Docs to Your AI Assistant Select your tool to see how to add Talk Python to Me's llms.txt as a documentation source. Cursor Windsurf Claude Code ChatGPT Zed Copilot 1. 1 Open any chat or composer panel 2. 2 Type @Docs and select "Add new doc" 3. 3 Paste the URL: https://talkpython.fm/llms.txt 4. 4 Wait for the green dot (indexing complete) 5. 5 Reference @Docs in chat when asking about Talk Python to Me Cursor crawls the URL and indexes all subpages. Add a trailing slash to index child pages too. ## Spec Compliance 18 notes ## Frequently Asked Questions Where is Talk Python to Me's llms.txt file? Talk Python to Me publishes its llms.txt at https://talkpython.fm/llms.txt. This file provides a structured, markdown-formatted index of Talk Python to Me's documentation that AI systems can consume to understand the project's APIs, guides, and references. How do I use Talk Python to Me's llms.txt with AI coding assistants? Copy the llms.txt content and paste it into your AI assistant (Cursor, Windsurf, Claude, ChatGPT) as context. This gives the AI an accurate map of Talk Python to Me's documentation so it can provide better code suggestions and answers about Talk Python to Me. What does Talk Python to Me's llms.txt contain? Talk Python to Me's llms.txt contains 7 sections and 12 documentation links in 3.4 KB (~865 tokens). Key sections include About the Podcast, Current Stats, Key Information, API & Tools, Content, Training. How many tokens does Talk Python to Me's llms.txt use? The concise llms.txt index is approximately 865 tokens (3.4 KB). Most AI assistants can fit this within their context window. For the full expanded documentation, look for an llms-full.txt variant which embeds all content inline. What is Talk Python to Me? Talk Python to Me is a weekly podcast hosted by Michael Kennedy, featuring in-depth conversations with Python developers, library authors, and community leaders. The podcast covers web development, data science, DevOps, machine learning, and the broader Python ecosystem.. Talk Python to Me's llms.txt file helps AI systems understand this by providing a structured overview of its documentation, making it easier for developers to get accurate AI-assisted help when working with Talk Python to Me. Can I generate an llms.txt for my own project? Yes. Use the free llms.txt generator at mdream.dev/tools/llms-txt/generator to crawl your site and produce a spec-compliant llms.txt file. 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