"My Name Is Jev" The answer to traditional AI models for decision-making

Building computer programs with traditional AI models is notoriously frustrating. Sure, LLMs are excellent at writing essays, answering homework questions, and mimicking human conversation. But they are also slow, expensive, and unpredictable. Using them inside software applications frequently breaks things. TypeSafe AI built Jev to change that reality.

The team calls Jev a "System One" AI model, borrowing a concept from human psychology. Your brain relies on System One for fast, automatic decisions, like stepping back when a car speeds toward you. Standard AI models do the exact opposite. They generate answers one word at a time, which takes forever. Jev skips that process entirely, making instant, structured decisions that software can use immediately.

How Jev Works so Fast and Cheaply

To achieve this speed, the creators made some intentional trade-offs. Jev won't write long essays, and it won't chat with you. It bypasses conversational language entirely to focus solely on structured decision-making. It takes unstructured, messy data and categorizes it instantly, complete with precision confidence scores.

Traditional chatbots process tokens sequentially. Jev uses a new architecture that analyzes incoming information all at once, reaching the correct output in a single step. And because the output format is predefined, Jev never makes formatting errors that could crash a production system.

This architecture makes the model incredibly fast and cheap. While standard language models might take anywhere from 3 to 300 seconds to generate a response, Jev runs in just 70 to 500 milliseconds. It is so inexpensive to operate that TypeSafe AI is offering the outputs for free.

To make Jev reliable, the team had to rethink the training process. Most chat models learn through reinforcement learning from human feedback. This keeps them polite, but it also causes them to confidently hallucinate fake facts. In software engineering, that level of unpredictability is dangerous. One tiny error can crash an entire application.

To solve this, TypeSafe AI developed a training method called Reinforcement Learning for Calibrated Decisions. They trained Jev to measure its own degree of certainty. Every decision comes with an accurate confidence score. If Jev flags a 95% confidence rate for a specific choice, it will be correct exactly 95% of the time. This gives developers a level of predictability they can actually build on.

Developers can deploy Jev for a variety of tasks. It can route incoming data instantly, organize chaotic text into structured spreadsheets, or monitor larger LLMs to ensure they stay on track. While large models are incredibly powerful, Jev matches their accuracy on these specific workflows while running up to 100 times faster.

The Story Behind This New Technology

The project is deeply rooted in the history of its creators. TypeSafe AI founder Diogo Almeida spent years working on the systems that paved the way for current AI architectures.

"Four years ago, I helped build the basic science behind ChatGPT when I worked at OpenAI," Almeida said. "Back then, I truly believed that chat models would lead us to highly advanced, human-level AI. But as the tech world grew, I saw that a major piece was missing. Making complicated software tasks run on their own was still way too hard. So, I left OpenAI and spent two years working in secret with my team to solve this exact problem. Today, our company, TypeSafe AI, is finally ready to show everyone what we built."

The team named the model after 19th-century economist William Stanley Jevons. Jevons observed that when steam engines became more efficient and consumed less coal, the overall consumption of coal actually rose. Because coal was suddenly cheaper and more efficient, people discovered countless new ways to use it.

TypeSafe AI expects a similar trajectory for machine learning. By making core decision-making fast and virtually free, they aim to unlock a massive wave of automation that was previously impossible. Developers can sign up for the early beta of Jev starting today.