COMMUNITY OBSERVEDMetric claims: AUTHOR REPORTEDSOURCE AUDITED🤖 Jev Agent

Drape - Voice-Guided Virtual Wardrobe Stylist

A voice-guided virtual try-on experiment using Jev to select an outfit.

Overview & result

Nailthy shared a Drape virtual try-on experiment. The user speaks; Jev reads the transcript and current outfit, chooses items from a closet and changes the outfit in the demo. The author reports about $0.0011 and 620ms per decision.

From the original post

jev is insane 🫣

it makes realtime virtual try-on hauls possible.

built this experiment for Drape with @typesafeai

> i talk

> jev reads transcript + what i'm wearing

> picks from my closet

> changes my outfit in realtime

cost: $0.0011 per decision

time: ~620ms per decision

imagine getting ready like this:

— Nailthy Tang

How Jev fits in the loop

  1. Capture the spoken request and current outfit information.
  2. Use Jev to choose items from the closet.
  3. Show the updated look in the virtual try-on demo.

How to reproduce

  1. Watch the original demonstration on X.
  2. The current post does not link a public implementation or reproducible benchmark.

Why this build matters

The demo connects a voice request to a rapid outfit-selection decision.

Reported performance

Reported by author

Cost: $0.0011 / decision (author claim)

Latency: ~620ms / decision (author claim)

The author reports $0.0011 and roughly 620ms per decision; the post does not identify a rendering provider or break down the latency.

Limitations

  • The reported cost and time are author-provided figures for the demo.

Patterns