What the Machine Sees : AI Prompting and Context Engineering for Professionals and Entrepreneurs: A Plain-English Guide to Reliable Results
Overview
AI can give you an answer. But how do you know whether that answer deserves your trust?
Millions of professionals use artificial intelligence to write, analyse, research and make decisions. Yet even the most sophisticated AI tools can produce confident answers based on incomplete information, weak assumptions or unreliable evidence.
The real competitive advantage isn't knowing how to write more prompts.
It's knowing how to give AI the right context, challenge its conclusions and turn its capabilities into reliable results.
In What the Machine Sees, Chartered Accountant, author and AI evaluator Ademola Isimeme Odewade introduces a practical approach to AI prompting and context engineering for professionals, entrepreneurs and business leaders.
Drawing on nearly six years of experience in external audit across PwC, KPMG and Blick Rothenberg, alongside his work evaluating AI systems, Odewade explains how professional scepticism, evidence evaluation and human judgement can transform the way we work with artificial intelligence.
INTRODUCING THE INSIGHT FRAMEWORK
A seven-stage method for producing more reliable AI-assisted work:
I - Intent: Define the outcome you want to achieve.
N - Necessary Context: Give AI the information it needs.
S - Source Integrity: Establish the reliability of your evidence.
I - Instructions: Direct the AI with clarity and precision.
G - Guardrails: Set boundaries and identify risks.
H - Human Verification: Challenge the output before relying on it.
T - Traceability: Make the evidence and decisions reviewable.
WHAT YOU'LL LEARN
How to write clearer AI prompts that deliver more useful answers.
How context engineering improves the relevance and reliability of AI-generated work.
Why AI hallucinations occur and how to identify unsupported claims.
How to build reusable AI instructions, workflows and knowledge resources.
How to evaluate AI-generated financial reports, business analyses and strategic recommendations.
How to protect confidential information when working with generative AI.
How to apply the INSIGHT Framework to leadership, finance, marketing, operations and entrepreneurship.
How to develop sustainable AI working habits through practical exercises.
BUILT FOR PROFESSIONALS, NOT JUST TECHNOLOGISTS
You don't need to be a programmer, data scientist or AI engineer to benefit from this book.
Whether you're a founder making important business decisions, a professional preparing reports or a leader introducing AI into your organisation, What the Machine Sees gives you a practical framework for working with AI more intelligently.
This is Book Three of the Human-Led Leadership Series, following Human-Led, AI-Powered Finance and The AI-Powered Future of Work.
The future belongs not to those who ask AI the most questions, but to those who know what information to provide, what evidence to demand and when human judgement must take the lead.
Stop collecting prompts. Start developing INSIGHT.
This item is Non-Returnable
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Details
- ISBN-13: 9798167111509
- ISBN-10: 9798167111509
- Publisher: Independently Published
- Publish Date: November 2026
- Dimensions: 9 x 6 x 0.14 inches
- Shipping Weight: 0.21 pounds
- Page Count: 60
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