... first try while "add rate limiting to our billing service" still goes sideways? Same models. The gap taught me more about using AI than any prompt guide. Three boring properties stack up for the tiny game. The corpus has rehearsed it: tutorial games are among the most-rewritten code on the internet, so the request lands in the model's deepest home field. The task has edges: one file, no dependencies, nothing outside a browser tab worst case, you close ...

... coverage report is the concrete thing I'm taking from this. Different cadence, different granularity, and I'd have kept staring at coverage waiting for it to say something it structurally can't say. The absent-from-your-logs versus 5xx-in-your-logs split is the better half though, because it doesn't depend on anyone's report being honest about why. Absence is the signal, which is a strange thing to have to instrument for. On generating ugly ... ... bias is the whole feature. You don't want a representative sample of URLs, you want the unrepresentative ones, and bots are a machine for generating exactly those. Two caveats for anyone picking it up. Most of that corpus

... that spits out a 20-point PDF report nobody reads. It's built specifically for the vibe-coding workflow. Here's what it actually does: You paste your URL no signup, no setup. It benchmarks your page against real competitors in your SaaS category (something raw LLMs physically can't do without a curated corpus

... cited an outdated policy. Business risk Employees may receive incorrect guidance. Likely cause The vector database contains multiple policy versions. Recommended correction Identify the approved policy owner. Remove superseded versions. Add approval status and expiration metadata. Re-index the corpus. Rerun the evaluation. Owner Knowledge-management or HR policy owner Verification criteria The approved policy must appear in the top three retrieval results. The Remediation Engine will also include corrective-action templates for common failure modes: LLM used without grounding ...

... without checking their phone is distribution you don't pay for. Branding isn't the paint job anymore, it's the moat. Comment from Abdelrahman Mostafa(@abdomk): @busmark_w_nika  Callosium = callosum + colosseum. The "callosum" part is the corpus callosum which is the bridge in your brain that connects both hemispheres, which fits since the whole idea is one shared memory across every AI you use, instead of each one forgetting you separately. The colosseum is about the hypogeum ...

... found (including two inside the chaos-order feature, caught by proving it on prod) we fixed before shipping. What's still rough (because you'll ask)? A couple of integrations we can't measure yet, the public bug corpus is too noisy. We'd rather say that than fake a number. Proof against your actual code (via a Docker provisioner) works end-to-end but isn't in the default flow yet. Want to kick the tires? Small apps some ... ... adversarial model is still asking hard questions and not just rubber-stamping. Comment from Raj Nagulapalle(@rnagulapalle): @omri_ben_shoham1  it's me, personally .. I read what the adversarial model surfaces and decide what is a real class vs

... refuses to open, never a silent fallback to plaintext. scope gating: per client. MCP access is by scoped token; hand an agent a token bound to a specific session (or set), and it can't widen to the whole corpus. cross corpus

... When it comes to AI Memory, everyone's arguing "RAG vs. grep" like it's a religious war. It's not. It's just a cost curve. I've gotten this question so many times that I thought I'd just share my thoughts. So here goes: Vector search wins when your corpus

... sense because it's the closest thing to unfiltered aggregate opinion on the web. linkedin at #2 is the interesting one. LLMs are treating self-reported job titles and endorsements as ground truth when linkedin is the most curated corpus on the internet. that will age badly. deeper question: what happens to citation share once a model figures out linkedin content is mostly performance? ranking shifts. whoever built visibility only there vanishes ...

... wanted to close: surfacing the right film for a specific mood without making the user do an hour of curation. So I tried the inverse. Hand-build a semantic taxonomy of film moods, classify the entire corpus against it, match user queries via cosine similarity. No collaborative filter, no training set, no user data. The stack Next.js / Vercel, stateless PWA. No native app. 75-register mood taxonomy I hand-curated over months. Each one has an editorial definition + canonical exemplar ... ... films. Stuff like warm hug, neon nights, anxious dread, intellectual puzzle, melancholy beauty. Defining "wistful" vs

... Last month, I did something that felt slightly insane. I took our product description, fed it into ChatGPT, and asked it to build a competitor. Not a parody. A real competitor

... started consciously contributing back to the projects I rely on even small PRs or donations feel necessary now Comment from Susheel Daswani(@susheel_daswani): Can't an open source project use AI to build out it's corpus to solve new problems (which will at some point be folded into a model via training)? I think the mistake here is conflating the purpose of open source. It's not to have folks visit docs for traffic, revenue or community ... ... provide a 'free as in speech, not as in beer' alternative

... distilled threads, building on principles of Active Recall Create private or public Streams grounded in a small canon of texts, invite friends, and discuss them in a shared space with an AI agent that can track insights across the corpus Clip text or sharable content from anywhere on your phone via a ShareSheet extension and attach it(with annotations) to a Reading or Stream Use different AI personalities for different kinds of material Organize excerpts into Boards that function ...

... show up in traditional breach checkers. That gap is huge. Because if your username or email is sitting in those logs, no tool tells you. So we built Traclea a real-time exposure monitor that tracks: 2,000+ breach corpuses 50+ active infostealer families Dark web + Telegram logs Username-based platforms (Steam, Discord, GitHub, Binance, etc.) Traditional email leaks If your email or username shows up anywhere unsafe you get alerted. Right now we re giving the first ...

... tools evolve to understand business logic natively, this problem won t truly go away. Comment from Sathya Murthy(@smurthy_123): @masako_peno   Totally ! That's exactly what our research shows us. This is what prompted me to start @ Corpus Insight https://www.producthunt.com/prod... . Unifying and building context around the data from different systems was a challenge on it's own, but adding the ability to understand the underlying business logic to stitch it together is where the real value ...

... collective rights management org related to AI  it's essentially  what Spotify is for music , but artists constantly complain that they're not getting paid enough. Similarly, there's  CCC ,  Corpus by Avail , and  ProRata  all working on solutions in this space. Yet I presume that we're going to continue to see a power law distribution where a small number of players reap the most rewards ...