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i noticed something simple that’s been surprisingly useful. most chat UIs have a Share button. if you treat that shared link as a snapshot of the current state, you can later paste…

Yes, I still bookmark page just in case we forget the most important thing, ai is cool but cant replace everything

TL;DR After nine months of chasing weird hallucinations and silent failures in production LLM / RAG systems, we catalogued every failure pattern we could reproduce. The result is a…

We kept shipping “simple” LLM features that were fluent-but-wrong. After too many postmortems we wrote down the failure patterns and added a small reasoning layer in front of the m…

i’ve been building something called the WFGY engine, a semantic reasoning core to fix known LLM failures ~ hallucinations, logic collapse, memory jumps, retrieval drift... as part …

i’ve worked on a bunch of RAG pipelines recently (pdfs, semantic search, QA bots) — and honestly the biggest failure mode isn’t crash or latency, it’s quiet hallucination. the mode…

i mostly use LLMs inside a reasoning shell i built — like a lightweight semantic OS where every input gets recorded as a logic node (with ΔS and λ_observe vectors) and stitched int…

Yep. Been there. Built the rerankers, stacked the re-chunkers, tweaked the embed dimensions like a possessed oracle. Still watched the model hallucinate a reference from the correc…

Hi HN, Over the past two years I’ve built and debugged a fair number of production pipelines—mainly retrieval‑augmented generation stacks, agent frameworks, and multi‑step reasonin…

hey — really appreciate that. honestly I’m still duct-taping this whole system together half the time, but glad it’s useful enough to sound like “tooling” I think the whole LLM spa…

ah yeah that makes sense — sounds like you're indexing for traceability first, which honestly makes your graph setup way more stable than most RAG stacks I’ve seen. I’m more on the…

agree — I’ve used Q/S with AI-assisted query shaping too, especially when domain vocab gets wild. the part I kept bumping into was: even with perfect-looking queries, the retrieved…

haha fair — guess I’ve just been on the planet where the moment someone asks a followup like “can you explain that in simpler terms?”, the whole RAG stack folds like a house of car…

Totally agree, RAG by itself isn’t enough — especially when users don’t follow the script. We’ve seen similar pain: one-shot retrieval works great in perfect lab settings, then col…

Been watching the RAG (Retrieval-Augmented Generation) wave crash into production for over a year now. But something keeps bugging me: Most setups still feel like glorified noteboo…

This whole piece reads like someone trying to transcribe the untranscribable. Not ideas, not opinions — but the feel of what you meant. And that's exactly why art survives AI. Beca…

Just chiming in — been down this exact rabbit hole for months (same pain: useful != demo). I ended up ditching the usual RAG+embedding route and built a local semantic engine that …

I’ve built multiple RAG pipelines across Windsurf, Claude, and even Gemini-Codex hybrids, and I’ve learned this: Most of the current devtools are competing at the UX/UI layer — not…

You’re always welcomed to ask me any questions.

ah yes, the infamous "Blah Blah Blah" — not a joke name (well, maybe 12% joke). It’s one of the core WFGY modules, but not the same as the firewall. Blah Blah Blah (Lite) is basica…