Planning practice

You know how planning works in theory. Now let us explore what happens when plans go wrong and practice applying the pattern.

That happens! Production systems add plan validation: check that each step references valid tools or data, verify the plan is not circular, and optionally have a second LLM review the plan before execution. You can also let the user approve the plan before it runs.

Planning is what turns an AI from a reactive tool into a proactive problem solver. Your agents can now break down ambitious goals into manageable steps. Next, we will see what happens when you give multiple agents their own roles and let them collaborate.