Plan-and-Execute Architecture: Separation of Strategy and Action

Agentic AI 16 min min read Updated: Feb 26, 2026 Intermediate
Plan-and-Execute Architecture: Separation of Strategy and Action
Intermediate Topic 5 of 9

Plan-and-Execute Architecture: Separation of Strategy and Action

The core idea

Instead of letting a single LLM call do everything, you split responsibilities:

  • Planner: produces a plan
  • Executor: executes step-by-step
  • Monitor: detects drift and triggers replanning

Why separation improves reliability

Mixing planning and execution often creates chaos: the agent changes the plan mid-run. With plan-and-execute, you can lock the plan, log it, and hold the system accountable.

Definitions of done for each step

Every step should define:

  • Inputs
  • Expected output (observable)
  • Failure conditions
  • Retry policy

Replanning triggers

Replan only when:

  • A tool fails repeatedly
  • New information invalidates assumptions
  • The cost budget is exceeded
  • User changes the goal

Production logging

Always log:

  • Plan version
  • Step outputs
  • Tool calls
  • Replan reasons

This is how you debug “the agent went crazy” incidents.

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