@helloukey · X

@whyamas · X

launched you describe who you need to chase (overdue invoice, unanswered proposal, stalled approval) and it writes the message and keeps going until you get a reply. tone shifts from professional to firm to urgent on its own.

sahil423 · HN

18y/O buidling an AI proposal OS and generator

BenGallagh · HN

AI mock interview tool that scores your answers – free, no signup

@foldtaskapp · 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