AIForPeople

AI agents fail silently in ways a chatbot rarely does: wrong tool, bad handoff, looping calls, or hidden latency. 🔍 Without traces, debugging becomes guesswork. Agent observability turns every run into evidence. Here’s the production playbook. 🧵

Your RAG system can retrieve documents, cite sources, and still give the wrong answer. 🔎 The missing layer is evaluation: testing whether retrieval found the right evidence—and whether the model used it correctly. Here’s a practical RAG quality framework. 🧵