Know When to Trust What AI Tells You
Evaluate AI output you can rely on
You’re past the beginner stage with AI. You use it several times a week for anything from research and content to strategy, client work, and admin. But lately, you’ve been getting more frustrated with the amount of time you spend fixing output: a statistic that didn’t hold up, a recommendation that missed something obvious about your market, an idea AI called strong that a colleague later questioned. AI delivers wrong answers and poor recommendations with the same confident tone as correct ones
What you'll be able to do
- Know within minutes whether an AI output is safe to act on, or whether it needs a closer look first.
- Spot the three specific ways AI misleads you (false confidence, sycophancy, and missing context) before they shape a decision you can't easily undo.
- Get AI to lay out its own reasoning and name what it assumed about your business, instead of taking a polished answer at face value.
- Make AI argue against its own answer, so you catch the weak spots before a client or a customer does.
- Scan any AI output in about two minutes with a checklist that tells you whether to trust it, adjust it, or verify it.
- Walk away with your own Personal Evaluation Protocol, a written rulebook for exactly how much checking each type of AI task needs.
Chapters
Included resources
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Learn
AI Trust Workbook
Workbook · fill in online, export as PDF
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Learn
AI Trust Cheat Sheet
Cheat sheet · read on site
Workbooks are filled in on the site and exported with your answers. Included with a Learn plan.
Next on the path
The Business Blueprint
Write your business down once, and stop explaining it from scratch — to a designer, a proposal, or an AI
Read the whole course
The first chapter is free. A Learn plan opens the rest — and the workbook.
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