janwilmake
Joined 1 year ago
Joined 1 year ago
Similar to how Context7AI works, but you use LLM reasoning on the overview of the entire docs, instead of vector search. Also, you get a dedicated MCP server for the websites you need it for most!
In the process of making this, I discovered more than half of llms.txt live today are not spec-compliant. with LLMTEXT we're fixing this with tools to validate and create better llms.txt's! Read more in the blogpost.
Would love feedback from the HN community on both the tools and the broader question of how we should be serving AI agents vs. humans on the web.
curious if this can somehow slot into oauth too, or this is impossible? I've been thinking about oauth proxies that alter the oauth scopes into more fine-grained ones, working on this. maybe this is the key to adoption.
Since every developer is independently building new strategies to do good context engineering, I'm super curious to hear other people's takes on how to do builds like this!
I also made a similar thing a while ago called contextarea.com, maybe, I should add overtype!