AI Agents Complete Guide
AI agents in production: ReAct loop, tools, RAG, memory, multi-agent, errors, observability and costs. Italian-language ebook, examples mostly in Python.
- Who it is for
- Python or TypeScript developers who already have an LLM-based prototype and need to run it reliably in production.
- The problem it solves
- The agent works in the demo, then turns unpredictable and expensive with real users: it needs control, observability and a cost budget.
- Less suitable if
- You have never written Python or TypeScript: the book starts from a working agent and does not teach the language.
- What it covers
- The ReAct loop, tools and memory
- RAG and multi-agent systems
- Errors, observability and costs in production









