Agent Planning
Category: Agents“AY-jent PLAN-ing”
The step where an AI decides the order of its actions before it starts working, and updates that order as things change.
Lesson #6: The Agentic Era: Agents That Do the Work →Sketching the route before you start driving.
Deciding to hit the bank before the store because the bank closes earlier.
Scheduling the electrician before drywall so nobody has to open the walls twice.
Choosing to confirm budget approval before the agent starts contacting vendors.
A good plan prevents wasted steps, which is where agent cost and mistakes pile up.
Agent planning is choosing the order of steps before acting.
Take yesterday's to-do list and reorder it the way a careful planner would. Note why.
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Related terms
Picked automatically from the same category and the ideas this term shares.
Hand-picked pair
A repeatable chain of steps an AI agent runs end to end, where each step's result decides what it does next.
Hand-picked pair
The repeating cycle an agent runs: look at the situation, decide one action, do it, check the result, and go again.
Hand-picked pair
Breaking one big goal into smaller tasks the AI can actually finish, one at a time, in a sensible order.
Same category: Agents
An AI worker that has a specific job to do.
Same category: Agents
Passing a job — with its notes and context — from one agent to another, or to a person, without losing the thread.
Same category: Agents
AI that can take a goal, decide the steps on its own, and carry them out instead of only answering one question at a time.
See it in Python
Truth Code: Python lessons that use this idea in real code.