Tutorials Prompt Engineering Tutorial

AI Planning — Complete Guide

AI Planning — 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 8/20/2026

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Prompt Engineering Tutorial · Lesson 26 of 100

AI Planning

Prompts → Apps

Prompts · 1 — Basics · ~6 min · Module 3: Advanced Prompt Engineering

What is this?

AI planning produces a ordered plan of subtasks before execution — who does what, in what sequence, with what inputs.

Why should you care?

PromptVerse Workflow Agent emits a plan JSON before running retrieve/classify/draft nodes.

See it live — copy this example

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

Goal: Produce weekly customer health report.
Plan as numbered subtasks with inputs/outputs:
1. Pull usage metrics from warehouse
2. Summarize top 5 accounts at risk
3. Draft email to CSM leads
Do not execute — plan only.

What happened?

Plan-only mode separates design from action.
Each subtask lists IO so orchestrator can map to tools later.

Practice next

Ask for plan-only on a familiar project.
Check dependencies make sense.
Execute subtask 1 manually.
Add owner role per subtask.
Estimate duration per step.

Remember

Plan before tools fire. Explicit IO per subtask. Human can edit plan.

Weekly report job

CS ops automates health digests.

Outcome: Reviewed plan maps 1:1 to workflow nodes.

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

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