NirDiamant/agents-towards-production ? reverse-engineered prompt

I want to build a project that's a playbook for creating production-ready AI agents. The idea is to have a collection of code-first tutorials that show people how to go from a simple prototype to a real, enterprise-grade product. The whole thing should be in Python, probably using Jupyter Notebooks to make it easy to follow.

It should cover the core concepts for making agents truly useful. This includes giving them long-term, stateful memory so they can remember past interactions, letting them perform real-time web searches for current info, and showing how to deploy the final agent as a secure API using Docker and FastAPI. It would also be great to include more advanced guides on things like setting up security guardrails, getting multiple agents to work together on a task, and how to monitor performance.