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`` A real debugging log: fabrication bugs, deployment gaps, and false test passes found and closed across 6 rounds of adversarial testing. System pr…
A small milestone for a project I've been building: BOOTH was featured in Python Weekly! It appears in Python Weekly Issue #767 (October 15, 2026) u…
RAG Evaluation & Monitoring: Metrics, Frameworks & Production Observability Comprehensive guide to evaluating and monitoring Retrieval-Augme…
Most RAG systems that disappoint in production fail at retrieval, not generation: the model answers well from the wrong context, or from none at all…
A year into a project, one agent's memory holds three instructions that should no longer win. It says to install packages with npm, and since June i…
There's a new chunker that learns its own boundaries, two heavy dependencies moved to optional extras, and a few configuration changes that stop you…
Your RAG pipeline retrieves 12 chunks because the retrieval score said "maybe". Your LLM reads all of them. You pay for all of them. And the answer…
For years, enterprises watched their AI investments deliver only half the promise. Basic large language models sounded confident but frequently hall…
A property assistant gets a question: “I’m looking for a flat in Hamburg under €2,000. I have a dog. Is heating included, and can I view it on Satur…
Hot take: you don't need a vector database for RAG. Most teams reach for a purpose-built vector store on day one because the onboarding docs tell th…
Legal help is expensive, jargon-heavy, and often out of reach for people who need it most. For PromptWars: Virtual (Exclusive Edition) — a hackathon…
Hello, I'm Rijul, and I'm building LiveReview — a blast-radius aware AI code review built for your business-critical systems. Star us to help devs d…
Hello, I'm Maneshwar, and I'm building LiveReview — a blast-radius aware AI code review built for your business-critical systems. Star us to help de…
Building an Autonomous GraphRAG Fraud Investigation & Next-Best-Action Agent with TigerGraph A deep-dive into graph-native financial crime inves…
As teams rush to build with Generative AI, they're creating a dangerous chasm between their data and AI stacks. This common architectural flaw intro…
Hello, I'm Rijul, and I'm building LiveReview — a blast-radius aware AI code review built for your business-critical systems. Star us to help devs d…
Hello, I'm Maneshwar, and I'm building LiveReview — a blast-radius aware AI code review built for your business-critical systems. Star us to help de…
Hello, I'm Rijul, and I'm building LiveReview — a blast-radius aware AI code review built for your business-critical systems. Star us to help devs d…
В финале прошлой статьи про сборку AI-команды я остановился на клиффхэнгере: наш простой трёхнедельный пилот RAG по технической документации забуксо…
📝 Originally published (in Japanese) at forge.workstyle.tech . An avatar that interacts through voice receives the following utterances: 👤 Are there…
Most "AI chatbot" projects stop at a demo: a widget, an OpenAI/Gemini call, a canned prompt. Getting one into production for real businesses — acros…
Hello, I'm Rijul, and I'm building LiveReview — a blast-radius aware AI code review built for your business-critical systems. Star us to help devs d…
Entering the third week of my startup adventure has been a deeply rewarding time of solidifying foundations. Things come together to form an officia…
The first time an n8n AI workflow fails, it often does not fail cleanly. It returns a 200 status with garbage inside. It writes half a record. It re…
Your RAG system did not fail because the model hallucinated. It failed because the only “facts” the model saw were a mangled PDF table, an outdated…
You cannot improve a RAG system you are not measuring, and "I asked it five questions and it seemed fine" is not measuring. Every serious change I m…
The first time I seriously doubted the framework was not because the model hallucinated. It was because the answer looked plausible, contained a cit…
The most expensive RAG failure is often not an empty search result. It is a confident answer built on chunks that should never have been retrieved i…
The first time an AI agent remembers something useful, it feels like product magic. The first time it remembers the wrong thing — a stale user prefe…
Your team ships an internal AI assistant grounded on company documents. The demo is excellent: ask about the refund policy, and the model answers wi…