Agent Planning in AI Agents

Lessons in this section

1. Task Decomposition

   How an agent breaks a big goal into small tasks, maps which tasks depend on which, plans sequential, parallel and priority order, and tracks progress until every task is proven done.

2. Planning Strategies

   Three ways an agent can plan: ReAct, Plan-and-Execute and Reflexion. See each one run on the same bug, and learn which to pick for a task.

3. Advanced Planning

   How an agent compares several plans before choosing one: Tree of Thoughts, Monte Carlo Tree Search, and dynamic planning that revises the plan, changes priorities and adapts while it runs.