Building an Auto Shopper with Jev
A developer combined an OpenAI model with TypeSafe AI's Jev to build an auto shopper that generates grocery lists and fills the online cart for Giant Food.
THE JEV GUIDE · CURATED EDITION
Launch news, explanations, demos, and community projects around TypeSafe Jev, organized by topic. Every entry links back to its X source.
Curated selection · Not exhaustive · Updated manually
01 / EXPLORE
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A developer combined an OpenAI model with TypeSafe AI's Jev to build an auto shopper that generates grocery lists and fills the online cart for Giant Food.
A user shares applying Jev to their mom's Etsy shop and reports it works well.
Pentacles is building a JPYC virtual liquor store payment demo, supporting delivery and in-store pickup, automatic shipping calculation, a liquor-optimized product database, and is implementing a Jev-based drink recommendation feature while optimizing the admin panel.
The post positions Jev as a model for the second phase of AI: it decides rather than writes, citing an example of filtering 10 Amazon products in 3.71 seconds.
The author open-sourced a Jev-based shopping tool supporting Taobao and JD.com, using Jev to determine whether a product's company offers weekends off and filtering out those that don't.
The author built a Chrome extension with Jev that flags suspected non-double-weekend products with a PASS mark while browsing e-commerce sites like Taobao and JD.com, with a real screen recording and open-source code.
A user shares using Jev to find outfits by occasion.
A research team including a ChatGPT co-inventor demonstrates new AI 'Jev', achieving real-time virtual fitting in 1 second with ultra-low latency wardrobe recognition.
A developer built an experiment for Drape with TypeSafe's Jev: it reads the speech transcript and current outfit, picks from the closet, and changes clothes in real time, at ~620ms and $0.0011 per decision.
The shopping assistant adjusts product recommendations while the user is still talking, with an avatar whose expression reacts to the conversation, powered by Jev and gpt-live-1.
Jev scored 3,000 kid snacks on nosugarforkids.com against multiple criteria in 28 seconds for $0.11. Link
Showcases ego lite, Jev, and DeepSeek Flash completing 20 Amazon product decisions in 3.71s versus 54.45s for GPT-5.6 Sol, both scoring 10/10.