Loop Engineering: Como Agentes de IA Resolvem Problemas Sozinhos

Loop Engineering is the technique that transforms AI agents into autonomous problem solvers. The agent receives a mission and enters a continuous cycle until it delivers the result, with one model critiquing and refining the work of another. In this excerpt, I explain how this approach works in practice: the agent operates in a loop, trying, evaluating, and correcting until it reaches the objective. I also show how to control the number of cycles and manage the token cost, which can scale quickly if you don't set limits. If you work with automation or are starting to build agents, understanding Loop Engineering is fundamental to creating flows that truly work without manual intervention. Original live stream:    • LIVE: O Fim da IA Grátis e a Era dos Agent...