Jev: 8 real use cases this fast, cheap model
Summary
Jev, a fast and cheap structured output model, costs just 73 cents for hundreds of demos and can process 5GB of JSON for 40 cents—enabling founders to run discovery on data previously considered too expensive or time-consuming to analyze with traditional LLMs.
Key Takeaways
- Jev outputs structured data (decisions, scores, probabilities) instead of text, transforming unstructured inputs into type-safe outputs—enabling direct API integration without post-processing, unlike traditional LLMs.
- Cost efficiency enables large-scale data exploration: processing 5GB of JSON costs ~40 cents and 20,000 records cost 4 cents, making previously unaffordable ROI analysis now viable for discovery work.
- Multi-agent orchestration with constrained inputs becomes practical: manage dozens of parallel agents (speaker running 40 Grock bots) with collision avoidance, keeping tasks isolated without interference.
- Real-time presentation coach use case: model listens to speech/podcasts, tracks bullet point coverage in real-time, and checks off items covered—automating speaker prep without text generation overhead.
- Org design skills transfer to agent design: managers can apply role design and task allocation expertise when crafting multi-agent systems, reducing collision and maximizing task completion speed.
Related topics
Transcript Excerpt
In some ways, managers are really at risk. This concept of like org design and role design, you can put those skills to use when crafting your [music] agents, which is why I am currently running, no joke, 40 Grock bots right now. >> Whenever you have constrained inputs that are interacting with apps, it's Jev is a [music] good thing to reach for. This one is is a favorite of mine because it represents like a workplace where you have multiple agents that could all have their own tasks and avoiding collisions so that they never end up on [music] the same space at each step. It's going to be able to control these different agents and make sure that they get to their specific task as quickly as possible and that they never collide or interfere with the other agents. This one's really fun to me…