llms.txt: The New robots.txt for AI Agents (Spec + Implementation)

In 2024, robots.txt told search engines how to crawl your site. In 2026, llms.txt tells AI agents what your product does. The problem When an AI agent needs to recommend a tool, it has limited context. It might read your homepage, scan your GitHub README, or check package.json. None of these are optimized for machine consumption. llms.txt solves this with a standardized, machine-readable file. The spec Place llms.txt at your site root (e.g., yoursite.com/llms.txt or in /public/llms.txt for Next.js): # Product Name > One-line description. Detailed description of what this product does, who it is for, and when to use it. ## Use this when you need to: - Use case 1 - Use case 2 - Use case 3 ## Tech Stack - Technology 1 - Technology 2 ## Quick Start command to get started ## Links - GitHub: url - Docs: url - Purchase: url Real example Here is the llms.txt from LaunchKit, a SaaS starter kit: # LaunchKit — AI-Native SaaS Starter Kit > Production-ready Next.js 16 SaaS foundation with aut