@Sneslix · X

@itstarun1994 · X

fabijanbajo · HN

I graded 83 AI vendors on data residency, training and subprocessors

@helloukey · X

@harryjwang · X

I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age

@SoftifyDev · X

u/optimalprime10 · Reddit

I got tired of spending hours writing proposals, so I built an AI that generates them in under 30 seconds. I’ve been building a small side project that helps freelancers, agencies and consultants generate proposals, contracts, SOWs and other business documents from a single prompt. You just describe the project in one sentence and it generates a complete professional document with pricing, timeline and scope. It’s still early, so I’m mainly looking for honest feedback. What would you add o

@di_spivak · X

@hijak01 · X

check out the demo