Ai-agents

Eight retrieval architectures, from Simple RAG to agentic swarms. The trick is not choosing the cleverest one, but the one that fixes your actual failure.

Tweaking a chatbot prompt is easy; knowing whether you improved it is not. How to A/B test LLM prompts in production—the mechanics, the metrics, the tooling.

Autonomous AI agents no longer just answer; they plan, act and fail in inventive ways. How to build them on AWS, from supervisors to event-driven swarms.

A demo agent that crashes loses everything; a production one must not. How LangGraph keeps state, survives failures and resumes where it left off.

A ReAct loop dazzles in a demo and buckles in production. LangGraph makes an agent’s state explicit—the dull discipline that keeps real systems standing.