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Prompting & Communicating with AI

Write clearer instructions, design stronger conversations, and get more reliable AI results.

The learner receives generic or unreliable AI output because instructions lack context, structure, and constraints. From inconsistent AI answers to repeatable business-ready results and a reusable prompt practice.

The complete book is free. No fee or credit card required.

Author
Nathan Thiyagarajah
Chapters
15
Reading time
About 7 hours
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Book contents

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  1. 01
    How to Write a Great AI PromptTurn a vague request into a clear work order that gives AI the goal, context, constraints, evidence, success criteria, and output shape it needs.
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  2. 02
    The Five Ingredients of a Powerful PromptUse five dependable ingredients—task, context, evidence, constraints, and output—to replace trial-and-error prompting with a repeatable brief.
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  3. 03
    Bad Prompt vs Good Prompt: Real ExamplesLearn to diagnose prompts by comparing what the model must guess, what the reviewer can verify, and how the output will be used.
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  4. 04
    Stop Asking AI Questions: Start Giving It JobsMove from conversational curiosity to bounded assignments with inputs, deliverables, review rules, and a clear next user.
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  5. 05
    My Prompt Framework for Business OwnersUse a compact OWNER framework to turn business intent into accountable AI-assisted work without writing a technical specification.
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  6. 06
    Giving AI ContextSelect and structure the background that materially changes an AI answer without overwhelming the task with irrelevant history.
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  7. 07
    Using Examples to Improve AI OutputUse examples to demonstrate the pattern, voice, structure, and edge cases that prose instructions alone leave ambiguous.
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  8. 08
    Using Constraints to Control AIControl scope, evidence, format, actions, and uncertainty with constraints that are precise, prioritized, and testable.
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  9. 09
    Getting AI to Ask You Questions FirstTeach AI when to pause, identify missing inputs, and ask a small set of high-value questions before producing work.
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  10. 10
    How to Improve an AI Answer Instead of Starting AgainDiagnose the failed dimension, preserve what works, and issue a targeted revision request instead of discarding useful progress.
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  11. 11
    Creating Reusable Prompt TemplatesTurn a successful prompt into a safe template with named variables, defaults, ownership, and repeatable tests.
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  12. 12
    Creating Your Personal Prompt LibraryOrganize tested prompts by job, inputs, risk, owner, and outcome so you can find and trust the right template.
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  13. 13
    Prompting AI for Complex AnalysisDecompose difficult analysis into evidence, criteria, intermediate artifacts, challenge steps, and a traceable synthesis.
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  14. 14
    Prompting AI for Long DocumentsUse inventory, selection, source labels, claim tracing, and staged synthesis instead of an undifferentiated summary request.
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  15. 15
    Prompting AI Agents vs Prompting ChatbotsPrompt chatbots for answers and agents for bounded outcomes, tools, permissions, checkpoints, budgets, and stopping conditions.
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