Plan-and-execute pattern in Agentic AI

Introduction

The plan-and-execute pattern helps AI break big tasks into smaller steps and then finish them one by one. This makes solving problems easier and clearer.

When you want an AI to solve a complex problem step-by-step, like planning a trip.

When an AI needs to organize tasks before doing them, like cooking a recipe.

When you want to improve AI's thinking by making it plan first, then act.

When teaching AI to handle multi-step instructions clearly.

When debugging AI decisions by checking its plan before execution.

Syntax

Agentic AI

plan = agent.create_plan(task_description)
for step in plan:
    result = agent.execute(step)
    if result == 'failure':
        agent.adjust_plan()
        break

The plan is a list of smaller steps created from the big task.

The agent executes each step in order and can adjust if something goes wrong.

Examples

The agent plans how to make a sandwich and then follows each step.

Agentic AI

plan = agent.create_plan('Make a sandwich')
for step in plan:
    agent.execute(step)

The agent writes a story step-by-step and fixes the plan if it hits an error.

Agentic AI

plan = agent.create_plan('Write a short story')
for step in plan:
    result = agent.execute(step)
    if result == 'error':
        agent.adjust_plan()

Sample Model

This simple agent plans how to make tea and executes each step, printing what it does. It checks for success and can adjust if needed.

Agentic AI

class SimpleAgent:
    def create_plan(self, task):
        if task == 'Make tea':
            return ['Boil water', 'Add tea leaves', 'Pour water', 'Steep tea', 'Serve tea']
        return []

    def execute(self, step):
        print(f'Executing: {step}')
        return 'success'

    def adjust_plan(self):
        print('Adjusting plan due to failure')

agent = SimpleAgent()
task = 'Make tea'
plan = agent.create_plan(task)
for step in plan:
    result = agent.execute(step)
    if result != 'success':
        agent.adjust_plan()
        break

Important Notes

Planning first helps AI avoid mistakes by thinking ahead.

Execution follows the plan step-by-step, making the process clear.

If a step fails, the agent can change the plan to fix problems.

Summary

The plan-and-execute pattern breaks big tasks into smaller steps.

AI plans first, then does each step carefully.

This method helps AI solve complex problems clearly and safely.