Editing The Verification Checklist

''Build a personal AI verification checklist and stress-test it against real AI outputs. 25 minutes.''

<blockquote>
'''One-liner:''' Build a personal AI verification system — a checklist you'll actually use — and stress-test it against real AI outputs to find its limits.
</blockquote>

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== 🔧 Jump in (Tinkerers start here) ==

You're going to build a verification checklist, then immediately try to break it.

'''Step 1 — Generate something to verify.''' Ask AI to produce a piece of content you might actually use in your work:

<blockquote>
Write a '''[deliverable type — e.g., client email, project proposal, market analysis, technical recommendation]''' about '''[topic relevant to your work]'''. Make it detailed and specific. Include data points, recommendations, and reasoning.
</blockquote>

'''Step 2 — Build your checklist.''' Before reading the output carefully, write your own verification checklist. Start with these categories and add your own:

| Check || Question || Pass/Fail

| '''Factual claims''' || Are specific numbers, dates, or statistics verifiable? || 
| '''Sources''' || Could I find the original source for any cited information? || 
| '''Reasoning''' || Does the logic hold? Are there hidden assumptions? || 
| '''Completeness''' || What important perspective or consideration is missing? || 
| '''Tone/audience''' || Is the tone appropriate? Would the intended audience trust this? || 
| '''Actionability''' || Are the recommendations specific enough to actually follow? || 
| '''Your domain check''' || [Add a check specific to your field] || 
| '''Your domain check''' || [Add another check specific to your field] || 

'''Step 3 — Apply the checklist.''' Go through the AI output line by line using your checklist. Mark each check as pass or fail. For every fail, note what the issue is.

'''Step 4 — Stress-test the checklist.''' Now deliberately ask AI to produce something harder to verify:

<blockquote>
Write the same type of '''[deliverable]''' but on a topic I'm less familiar with: '''[topic outside your expertise]'''. Make it equally detailed and authoritative.
</blockquote>

Apply your checklist again. Where does it fail to catch problems? What check do you need to add?

'''Step 5 — Finalize.''' Update your checklist based on what you learned. Save it where you'll actually use it — bookmark it, pin it, print it, whatever works.

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== 📋 Plan first (Planners start here) ==

Here's what you're about to do:
# '''Generate test content''' — Ask AI to produce a work-relevant deliverable. This gives you realistic material to verify.
# '''Draft your checklist''' — Build a structured verification list covering factual accuracy, reasoning quality, completeness, tone, and domain-specific concerns.
# '''Apply to familiar territory''' — Use the checklist on AI output about a topic you know. This lets you calibrate how well the checklist catches real errors.
# '''Apply to unfamiliar territory''' — Use the checklist on AI output about a topic you ''don't'' know well. This exposes gaps in your process — the errors you can only catch with domain knowledge.
# '''Iterate and save''' — Update the checklist based on what it missed. Save it in a format you'll actually reach for.

'''"Done" looks like:''' A tested, refined verification checklist (8-12 items) saved in a usable format, with evidence of at least one error it caught and one gap you identified and fixed.

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== 🧭 Why this matters (Strategists start here) ==

In [[The Fact-Check Habit|EP-Basic-01]], you built a simple 3-question verification prompt. Here, you're building a '''systematic process''' — a checklist that works regardless of topic, catches both factual and reasoning errors, and is tuned to your specific work context. The community's 75% Ethical Prompting score means most people ''intend'' to verify AI output but lack a consistent method. A checklist turns good intentions into reliable behavior. At the advanced level, you'll scale this into a governance framework for a team; this exercise builds the individual practice first.

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== Reflection ==
* Which check caught the most problems? Which was least useful?
* How did your verification experience change between the familiar topic and the unfamiliar one?
* Is your checklist something you'd actually pull up before sending an AI-generated deliverable? What format makes it most likely you'll use it?
* 💬 ''Trade checklists with a colleague. Have them apply yours to an AI output from their work — their feedback will reveal blind spots specific to your domain.'' (Social Learners)

== ⬆️ Level up ==

Ready for more? Try [[The AI Governance Playbook|EP-Advanced-01]] — where you'll design an AI governance framework for a team or project.

Back to [[Pillars/Ethical Prompting|Ethical Prompting & Judgment]]


[[Category:AI Fluency Playbook]]
[[Category:Exercises]]
[[Category:Ethical Prompting Exercises]]