Planning Simulator
Master AI agent planning through interactive simulations and real-world scenarios
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0 / 5 completedWhat is Agent Planning?
Planning is the bridge between goals and execution. An AI agent receives a goal ("book a flight to Paris") and must generate a sequence of actions that transforms the current state into the desired state. This isn't random trial-and-error—it's systematic problem-solving.
Good plans are feasible (can actually be executed), efficient (minimize time/cost), and robust (handle unexpected issues). This module lets you build and simulate plans to understand what makes them succeed or fail.
The Planning Pipeline
Define desired end state
Break into subtasks
Order tasks correctly
Run plan, monitor, adapt
Key insight: Planning happens before execution, but good planners continuously re-evaluate during execution and replan when needed.
Interactive: Sequential vs Parallel Planning
Compare different planning approaches for the same goal
Sequential Planning (Linear Chain)
Execute tasks one after another. Task B starts only after Task A completes. Simple, predictable, but potentially slow.
- • Simple to implement
- • Easy to debug and monitor
- • Clear error handling
- • Guaranteed order
- • Slower overall execution
- • Underutilizes resources
- • Blocked by long tasks
- • No concurrency benefits
Interactive: Plan Complexity Impact
Adjust task count to see how complexity affects planning difficulty
Description:
Multiple steps, some dependencies, requires coordination
Why Effective Planning Matters
Efficiency
Good plans minimize wasted actions, optimize resource usage, and complete goals faster than trial-and-error approaches.
Reliability
Plans with proper sequencing and dependency management reduce errors and ensure critical preconditions are met before actions.
Cost Control
Every LLM call, API request, and tool execution costs money or time. Efficient plans reduce both operational costs and latency.
Predictability
Well-structured plans make agent behavior transparent and debuggable. You can trace decisions and understand why actions were taken.