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Fit Receipt
A private fitting agent that knows when to call JEV
5 followers
A private fitting agent that knows when to call JEV
5 followers
Try on lingerie virtually; every pick has an AI judgment receipt. Fit Receipt is a reference implementation. The agent handles chat; code protects facts and pricing. JEV (TypeSafe) is a judgment model that scores trade-offs with calibrated confidence in ~300ms—not essays. Low-confidence results stay unresolved; judgments are recorded; works without JEV. Photos stay in your browser; no server photo storage. JEV sees typed fields, never the photo. Rate-limited API. Vercel + open source.
Second Eyes
Hi Product Hunt! I'm Crystal, founder of NUDE, a Taiwanese intimate apparel brand.
To buy or not to buy — that is always the question for a shopaholic. 🛍️
After years in our fitting rooms, I've learned there is rarely a 100% "right" bra. Preference and habit matter, but so do things no algorithm sees: the mood in the room, the light, how the person helping you makes you feel. A good store follows a quiet order: you see the piece, we learn how you'll wear it, you try it on, and only then do we talk about the cost.
Fit Receipt brings that order online, along with the part of good service that's about honesty.
The agent understands the person. JEV, a judgment model, weighs the trade-offs between styles. Code protects the facts: product data, prices, promotions. The person owns the decision.
Every judgment leaves a receipt, uncertainty included. When the top option sits at 69%, it still says "trade-off still to confirm."
We don't cure choice paralysis. We show you when it's justified.
I'd love to know: where should AI explain its reasoning and where should it make room for irrational human shopping behavior?