Mog Lab: AI Looksmaxxing Coach
No in-app products collected for this app.
| Rating | |||
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| United States | 67%2 | 5.00 | |
| India | 33%1 | 5.00 | |
| Sri Lanka | <1%0 | — | |
| Serbia | <1%0 | — | |
| Egypt | <1%0 | — | |
| Spain | <1%0 | — | |
| Angola | <1%0 | — | |
| Argentina | <1%0 | — | |
| Austria | <1%0 | — | |
| Australia | <1%0 | — |
Description
Mog Lab is a private photo coach for sharper first impressions. Run a scan, get your Mog Score, then unlock an 8-part appearance read across skin clarity, grooming, Golden Ratio / Phi, lower third, posture, style, expression, and photo frame.
The layered result shows Mog Score, Face Read, Photo Drag, and Max Potential. The goal is simple: show when your face read is stronger than the current photo, and exactly what the frame is costing you.
Build your Mog Profile with 6 outcome-first questions so the app knows your goal, what you have tried, timeline, weak point, AI-read preference, and commitment level. Then use the full breakdown to separate fast photo fixes from angle, lighting, crop, grooming, posture, style, expression, and skin-read habits.
Mog Lab Pro unlocks the full breakdown, 6-week plan, weekly reminders, progress targets, unlimited retakes, your personal best frame history, and Max Potential Preview. Max Potential Preview is an optional AI-edited presentation concept, not a guaranteed future self, surgery claim, identity feature, or different person.
Photo upload for the AI read is optional and requested in-app before anything is sent. If you choose local scan only, the photo is analyzed on-device. If you choose AI photo read, the selected photo and local pixel evidence are sent to Mog Lab and OpenAI only to generate your requested scan result. Max Potential Preview requires paid access and an explicit Generate Preview tap.
Mog Lab no longer requests App Tracking Transparency permission and this binary does not use IDFA. First-party product analytics are captured through PostHog, while ad attribution and purchase access stay privacy-scoped through AppsFlyer, Apple, and RevenueCat.
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