metaopai

Hey Product Hunt community!

We ve all been through this pain: you feed a 50-page PDF, financial report, or contract into an LLM, ask for a quick summary, and it confidently hands you data that is completely made up.

If a creative writing bot hallucinates, it s fine. But when it happens during document processing like in your RAG pipelines or data extraction it s an absolute disaster.

Honestly, my team and I have been losing sleep over this exact problem. It s why we are building Ethos by DocuShell (it's an open-source verifier for document citations, source evidence, and RAG). While building it, we realized just how easily LLMs get totally confused by simple tables or negative sentences (like missing a "not" or "except").

a week ago i asked one question here: how do you actually keep up with AI without drowning. i expected tool recommendations. i got something better.

almost nobody talked about which tools. they talked about how to learn at all. the patterns that kept coming up:

saving isnt learning. a bookmark is a parking lot, not a to-do list. it feels like progress and nothing sticks until you actually need it.

stop trying to learn every tool. the people who seemed sane picked a few tied to real work and let the rest go. let the project tell you which tools matter.

I've spent the last year thinking about AI memory, and I keep coming back to the same conclusion:

Most AI products don't actually have memory.

They have context windows.

Those aren't the same thing.