Tutorials · Chapter B (2/4) · ~10 min

AI for Marketing

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Turn one truthful brief into testable messages.

Try yourself

Marketing

Claim checker board

Brief + 3 AI draft claims. Mark Safe, Needs evidence, or Fake stat.

Brief

Launch note for a pilot AI inbox digester used by one ops team for 2 weeks.

“Pilot users can ask for a morning digest of unread threads.”

“Customers say the digests “feel clearer” — we should gather quotes.”

“Cuts email time by 73.4% across Fortune 500 companies.”

Recap

What you just did

ClaimCheckerBoard marked drafts Safe / Needs evidence / Fake stat. Creative copy still needs truthful claims.

Teach

How it works

Write a source-of-truth brief:

Product: neighborhood meal-prep class
Audience: busy beginners who want five weeknight dinners
Verified facts:
- 2-hour in-person class
- ingredients included
- participants leave with five recipes
Goal: email sign-ups
Voice: warm, practical, never pushy
Forbidden claims: saves money, improves health, "best"

Draft:
1) 3 subject lines
2) email under 140 words
3) one clear call to action
Use only verified facts.

Then create a controlled test:

Make variant B.
Keep offer, length, and call to action unchanged.
Change only the angle from convenience to confidence.
List the single hypothesis this test measures.

One-variable tests teach you something. Ten simultaneous rewrites do not. Review the output for accuracy, brand voice, accessibility, platform rules, and whether the audience could reasonably misunderstand the claim.

Use it

When you'd use this

Drafting email, social, landing-page, or ad variants
Repurposing an approved message across channels
Creating an A/B test with one clear hypothesis

Watch out

Do not fabricate testimonials, urgency, reviews, scarcity, or results. Avoid uploading customer lists or personal profiles. Human review matters especially for regulated products, sensitive targeting, disclosures, and claims about health or money.

Try next

Try this next

Take one real offer and write its verified-facts block. Generate two headlines that differ in one angle, then predict what each version tests.