Posted by Joe Seifi on Feb 4th 26 at 6:40 PM
We just made EveryDev.ai agent-native as part of an effort to improve our Agent Experience.
Every tool in our directory now has its own /llms.txt file — a machine-readable summary that AI agents can parse instantly.
When you ask an AI assistant "what's the best code review tool?", it can now pull real community reviews, accurate pricing, and feature lists directly from our platform.
Why Agent Experience matters
Matt Biilmann (CEO of Netlify) coined "Agent Experience" (AX) to describe a shift that's happening right now: AI agents are becoming a core user of every product you build.
Your documentation, your onboarding, your product itself — it's no longer just for humans. It's also for the agents helping humans get things done.
When someone asks Claude or ChatGPT for a tool recommendation, that agent is now a visitor to your site. It needs to understand your product, parse your content, and make sense of what you offer — autonomously.
That's what llms.txt solves. It's like a README for AI agents.
Check it out →
- Main llms.txt file: everydev.ai/llms.txt
- Example tool page: everydev.ai/tools/codex/llms.txt
Comments
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Hey this is really cool to see. The
llms.txtapproach makes a lot of sense since agents are basically becoming another type of user that needs to navigate your content.I’m curious what’s next on the roadmap for agent experience. Like could you eventually have agent-readable comparison pages so when someone asks Claude to compare two tools it pulls structured head to head data.
Or maybe aggregated review summaries where the agent can quickly parse what the community actually thinks about a tool without reading every single comment.
What other areas are you thinking about expanding this to?