Planning Fundamentals
Master how AI agents break down complex goals into executable steps
Your Progress
0 / 5 completedWhy Agents Need Planning
Imagine asking an AI to "organize a conference." Without planning, it might randomly call tools hoping something works. With planning, it breaks this into structured steps: find venues → book speakers → create schedule → send invitations.
The Planning Challenge
❌
Without Planning
- • Random tool calls
- • Wasted API requests
- • Incomplete results
- • No error recovery
✓
With Planning
- • Structured approach
- • Efficient execution
- • Complete solutions
- • Adaptable to changes
Interactive: Reactive vs Planned Approach
See how planning changes the agent's behavior for the same task
Task: "Book a flight and hotel"
1.
Call hotel_search()
❌ Wait, need destination first!
2.
Call flight_search()
❌ Missing dates!
3.
Ask user for details
Should have done this first...
Result: Wasted 2 API calls, poor user experience
Core Planning Concepts
🎯
Goal Definition
Clear, measurable objective the agent must achieve
📋
Task Decomposition
Breaking complex goals into smaller, manageable steps
🔗
Dependency Management
Understanding which steps must happen before others
⚖️
Constraint Handling
Respecting limitations like time, budget, or resources