For years we've used LLMs built to write text to make choices. JevGPT returns the favor: a chat app where TypeSafe's Jev, a model built to make choices, writes every reply one multiple-choice word at a time. Does it work? Sort of. Open source.
Hey Product Hunt! 👋
For years, we've inappropriately used billion-parameter text generators to make choices.
Jev, from TypeSafe AI, is a "System One" model. You give it a situation and a list of options, and it returns a probability for each one in milliseconds. It never writes a sentence.
JevGPT makes it write sentences anyway. Every word of every reply is a multiple-choice question: Jev picks the next word from a 1,772-word vocabulary, the app adds it, and asks again.
This is a familiar problem for me. In 2007, I published a NAACL paper on generating text with one model to select words and another to score their ordering. JevGPT works the same way: Jev shortlists candidate next words, then scores full continuations to pick the best order.
Does it work? Sort of.
- It says strawberry has three r's (sometimes)
- It told me to walk to the car wash
- Asked if it's conscious, it said "No."
Try it at https://curata.com/jevgpt with your own TypeSafe API key (about a cent per reply), or run it locally from the open-source repo: https://github.com/idlivada/JevGPT
I'd love to hear the weirdest thing you get it to say, and any ideas for making a choice-only model write better. 🙏
appreciate the honesty of "does it work? sort of" more than most launch copy here today. genuinely curious what breaks first at scale - does picking the reply word-by-word from a fixed choice set start degenerating into repetitive/safe phrasing once you get past a few sentences, since it's optimizing for "best next choice" rather than anything like a coherent plan for the whole reply?
that's a really cool idea. It sounds like one of those fun challenges that someone takes on just to see: okay, can we actually pull this off? 😄
I really like this weird feature where a choice-based model somehow writes an entire conversation by entering one word at a time.
About JevGPT on Product Hunt
“A chatbot built on a model that can't write”
JevGPT launched on Product Hunt on October 1st, 2026 and earned 86 upvotes and 5 comments, placing #17 on the daily leaderboard. For years we've used LLMs built to write text to make choices. JevGPT returns the favor: a chat app where TypeSafe's Jev, a model built to make choices, writes every reply one multiple-choice word at a time. Does it work? Sort of. Open source.
JevGPT was featured in Open Source (69k followers), Writing (59.4k followers), Artificial Intelligence (481.7k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 194k products, making this a competitive space to launch in.
Who hunted JevGPT?
JevGPT was hunted by Pawan Deshpande. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Pawan Deshpande