Build an AI Dating Profile Review and Scoring Tool

1. 1

   Ground the scoring in evidence, not vibes

   Platforms and researchers have published plenty about what performs: clear solo first photos, genuine smiles, variety across settings, specific bios over lists of adjectives. Turn that into a rubric with reasons attached, so every score explains itself; unexplained numbers feel like horoscopes.

2. 2

   Critique the presentation, never the person

   The line that defines the product's soul and its reviews: 'this photo is too dark and crops out your face' is feedback; anything that scores a user's looks is cruelty by another name. Bake the boundary into prompts, outputs, and marketing.

3. 3

   Deliver a ranked fix list, not a lecture

   Three changes in priority order beat twenty observations: replace photo two, rewrite the first bio line with a concrete hook, add one photo doing something you love. End every report with the next action, and offer a re-score after changes to close the loop.

4. 4

   Price as an impulse purchase with a human tier

   A one-time report priced like a lunch, a bundle with one re-score, and an optional human review upsell where a real person records a short video walkthrough. Subscriptions fight the product's own success; people leave when it works.

5. 5

   Market inside the frustration moment

   Short-form content reviewing anonymized volunteer profiles is the natural engine; dating frustration content already has a massive audience. Partner with dating coaches and photographers who serve the same moment and take referral fees both directions.

6. 6

   Handle photos with real care

   Users upload personal photos; delete them on a stated schedule, never train on them without explicit consent, and say both plainly. Trust hygiene is a feature in a category this personal.

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