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Complex tasks require planning. Without a plan, agents attempt to solve everything in a single linear pass, often losing track of sub-goals or repeating work. This lesson covers the plan-and-execute pattern, hierarchical planning, task graphs, re-planning on failure, and how to validate plans before execution.
Consider a complex request:
"Research the top 5 AI startups in healthcare, compare their funding, products, and team sizes, then write a summary report."
A naive agent would try to do everything in one long chain. A planning agent first breaks this into sub-tasks:
Plan:
1. Search for top AI startups in healthcare
2. For each startup, gather:
a. Funding information
b. Product descriptions
c. Team size data
3. Compile all data into a comparison table
4. Write a summary report
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