Content by john naguib (2)

John Naguib lays out a practical architecture for building self-improving AI agents on Azure, focusing on controlled feedback loops (evaluate, learn, test, approve) rather than uncontrolled self-modification. The guide covers agent runtime, tool calling, RAG, memory/experience stores, evaluation, observability, and governance for production use.

John Naguib explains a Copilot Studio billing change taking effect on September 1, 2026: existing agents and workflows built with the GitHub Copilot harness will start consuming Copilot Credits. The post breaks down what’s affected, how credit consumption works (authoring vs runtime), and what admins can review in PPAC to avoid cost surprises.