Verify claims, trace sources, and check citations before you publish or repeat them.
An AI-drafted competitor brief lands in your deck. One line claims a rival raised $40 million in a Series B last quarter—stated as calmly as any fact you already trust. That asymmetry is the whole problem.
The model you rely on today gets a new version number in six months. A tool you scored as trustworthy quietly changes how it sources its answers—and your old verdict no longer holds.
You have eighteen flagged claims and forty minutes before a draft ships. Check them in page order and you'll burn thirty minutes confirming that "most teams use some form of project software" is true—and never reach the fabricated market-size number. You learn to check in the order that matters.
You learn to spot the Tier 1 claim that belongs first: high stakes, high verifiability, and usually a number—the kind your AI draft slips in as "According to the U.S." data you never actually saw.
You can dismantle a citation that looks flawless. The author is a real professor at a real university—and you still know how to confirm the source actually says what the citation claims.
You can verify a claim, trace a source, and check a citation. But while those skills live only in your judgment, they walk out the door when you do. You learn to turn them into a system that stays.
Run this on the next thing you are about to send, post, or present.
You're building a market-sizing slide and ask an AI tool for a niche category's total addressable market. It returns a clean figure in a confident sentence. On the unverified path, you drop the number in. The slide looks authoritative. You see exactly where the two paths diverge.
Take one AI-generated paragraph you have right now—an email draft, a summary, a research answer—and run the drill. Don't verify yet; only classify. For each sentence, ask whether it carries a specific number, date, price, or ranking, and tag it NUMBER for plausible-but-wrong risk.
Run this against any AI output before it earns a place in your work.
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