Tutorials Prompt Engineering Tutorial

AI Planning Systems — Complete Guide

AI Planning Systems — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of Prompt Engineering Tutorial on Toolliyo Academy.

8 min read Updated 8/22/2026

On this page

Prompt Engineering Tutorial · Lesson 55 of 100

AI Planning Systems

Prompts ✓ → Apps

Apps · 2 — RAG & agents · ~10 min · Module 6: AI Agents

What is this?

Planning systems maintain a task graph or todo list the agent updates as the world changes — not a static upfront plan only.

Why should you care?

PromptVerse Ops Agent replans when tool observation contradicts the first plan.

See it live — copy this example

Copy the prompt into ChatGPT, Claude, or your LLM API playground and compare outputs.

plan = ["1 retrieve incident", "2 identify blast radius", "3 notify stakeholders"]
observation: status page already green
replan: skip 3, add "4 post mortem draft"
execute next unfinished step

What happened?

Observation triggers replan — avoids notifying stakeholders for a false alarm.
Plan state persists between steps.

Practice next

Start with 3-step plan.
Feed contradicting observation.
Prompt replan.
Visualize plan in admin trace.
Max replans = 2 then escalate.

Remember

Plans are living documents. Replan on new facts. Persist plan state.

False incident

Monitor flaps then recovers.

Outcome: Agent cancels stakeholder email after green observation.

Interview prep for this lesson

Practice these questions aloud after reading—each links to a full structured answer.

Junior Detailed

Explain Concepts in the context of Prompt Engineering.

Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Concepts…

What are common mistakes teams make with LLMs when using Prompt Engineering?

Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define LLMs in p…

Senior Detailed

How would you debug a production issue related to RAG in a Prompt Engineering application?

Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define RAG in pl…

Junior Detailed

Describe a real-world scenario where Production mattered in a Prompt Engineering project.

Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Productio…

All course Q&A Practice exams

Questions on this lesson 0

Sign in to ask a question or upvote helpful answers.

No questions yet — be the first to ask!

Toolliyo Assistant

Ask about tutorials, ebooks, training, pricing, mentor services, and support. I use public site content only—not admin or internal tools.

care@toolliyo.com