This is my favorite kind of energy with Jev right now. I very much understand @theo's concern about people thinking Jev should be used for more things than it's actually suited for, but I also strongly believe that not everything we build needs to be suitable for commercial purpose. I love that Jev is sparking so many creative explorations. This is the energy that leads to both delightful experiences and surprise breakthroughs!

Martin Casado on why the labs missed Jev: they're building beings that speak, and software needed a model that chooses. "LLMs were text in, text out. They generate text, and they came from chat... We've spent the last few years trying to take this thing that spits out text and cram it into a traditional program... It's just been super janky." "Jev basically said, 'Generating text as output is very expensive, but it's also more complicated than you need... If you give us a set of options, we'll choose the best option. We can do that incredibly fast, incredibly cheaply, but also with much more accuracy because we can train just for this.'" "This has probably been the fastest adoption of an AI model since ChatGPT. It's been remarkable because we were all primed for this." "[The labs] are trying to create beings, and beings speak. If you're trying to create God, God speaks in natural languages. This is really about something that's for traditional software." @martin_casado

SO MUCH THIS I believe that one of jev's greatest benefits to automation will come from resurrecting architecture best practices: state management, encapsulation, abstraction !!!! and combining them with ML's best practices: measure/evaluate, use calibration/uncertainty (adding screenshot b/c I don't know how to quote 2 posts 🤦)

remember this old post of mine? Tried it with Jev---it seems to have a grasp of the globe on par with some of the best models a year ago due to the architecture & low cost, it was also feasible to extract a labeled map of continents and countries. lots of interesting details

You've never routed like this before. @OpenRouter is bringing Jev to all of your LLM calls, so your agentic workflows never have to waste a token again. As always, faster, cheaper, more intelligent. Go build the future.

Jev generally out-performed frontier LLMs at a fraction of the price: Repeat-question matching: 70% → 97% Expense categorization: 50% → 86% (vs human reviewers) Escalation: same catches, fewer false alarms

Jev is having a moment. Every platform rushed to host it the same way: another model endpoint in the catalog, and good luck wiring it into your agent loop yourself. We took a different route at DigitalOcean. In addition to Jev being available in our Inference engine, Jev is also available inside Action Gateway as a first-class classifier tool, right next to browser automation, and 16,000+ other tools behind one governed MCP endpoint. That distinction sounds small. It isn't. Treat Jev as a model and your agent's LLM has to know about a second inference provider, manage another API key, and hand-roll the request plumbing. Treat it as a tool and any harness you already run (Codex, Claude Code, LangGraph) just discovers it and calls it, same as any other tool in the belt. Ask typed questions: a yes/no, a choice from your own list, a score on your own scale. Get back decisions with calibrated probabilities, schema conformance guaranteed. Answers land as data your code uses directly, so agents route, filter, and escalate without parsing prose. The gateway part matters too. Jev calls ride the same governance as everything else: scoped permissions, credentials that never enter the model context, low-confidence answers flagged for a human, every decision in the audit trail. We ran a Codex agent through it this week. One YAML, one prompt, and it turned a day of X noise into a shortlist worth reading, with the uncertainty left visible. If you want raw inference, Jev is on Serverless Inference too, at $42 per billion input tokens with output free. But agents shouldn't have to treat a classifier like a chatbot. Models reason. Jev decides. Ship both. On the same platform.

On Sept 30 we’re working with @supabase to put on HYPERSHIP DAY on Product Hunt. If you think you can build and ship fast, and you haven’t launched recently, submit your launch by midnight Sept 30. We’ll be providing some cool prizes including Jev credits and swag! And if you’re not launching: Mark your calendars to try new products, make feature requests, and watch the products evolve over the course of the day. 🔥🔥

Recent jevelopments have blown out all expectations but wait til you see what comes out of Paradigm Frontiers in a few weeks! The future of AI is just across the event horizon and @CompleteSkeptic is going to shepherd us through 🚀