Reusable design lessons for orchestrators, workers, approvals, event IDs, and learning loops.
This guide is the landing page for the new Agentic Patterns topic. It keeps the same dark, polished LearningAI style and points learners toward the core runtime concepts that matter most when adding orchestration and tool usage.
← Back to LearningAISeparate the coordinator from workers so responsibility stays visible and easy to test.
Use approvals, bounded tools, and explicit boundaries to keep agents trustworthy.
Track event IDs and summaries so operator context survives across steps.
Feed useful outcomes back into future runs without bloating the core runtime.