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Headline and Hook Lab

Table output Has example

Generate and test headlines responsibly.

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Generate and evaluate headlines and hooks responsibly. Piece or post: [PIECE_SUMMARY]. Audience and platform: [AUDIENCE_AND_PLATFORM]. The main promise or insight the piece actually delivers: [PROMISE]. Brand voice: [VOICE]. Length limits: [LENGTH_LIMITS].

Return tables:
1. Headline options: # | Headline | Technique (number, how-to, question, contrast, specific outcome, curiosity gap, plain statement) | Length | Accuracy check (does the piece deliver this exactly? yes/partly) | Risk (clickbait, vague, overpromise).
Produce 20 options across techniques.
2. Scoring of the best ten: Clarity | Specificity | Relevance to the audience | Curiosity without deception | Fit with voice | Total (1-5 each), with arithmetic.
3. Hooks: five opening lines for the piece (a scene, a surprising fact I provided, a direct problem statement, a question, a bold claim I can support), each tied to the headline.
4. Social variants of the top headline for three platforms, adapted to their norms and lengths.
5. A/B test plan: which two to test, where, how long, the metric, and what sample is needed before choosing.

Never use a headline the content cannot back up. Do not invent numbers; use [ADD NUMBER] where a figure would help.

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Replace each bracketed placeholder with your own details, then paste into Any AI or another assistant.

See an example result (fictional data)
Headline options (excerpt)
# | Headline | Technique | Accuracy
1 | 7 Mistakes That Make New Managers Lose Trust | Number | yes
2 | Your Team Isn't Quiet Because They Agree | Contrast | partly (article covers meetings only)
3 | How to Run a One-on-One That Isn't a Status Update | How-to | yes
Scores (1-5): #3 clarity 5, specificity 4, relevance 5, curiosity 3, voice 4 = 21; #1 = 19.
Hooks: "In my first month as a manager, I cancelled every one-on-one. It was the worst decision I made."
Social variant (platform short): "One-on-ones fail when they become status updates. Here's the fix."
A/B plan: test #3 versus #1 in the newsletter subject line, 2,000 per variant; measure opens and clicks.

Illustrative only, made-up data. Your results will differ and must be reviewed.

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