Former OpenAI researcher builds an AI model that judges options instead of writing text
Former OpenAI researcher drops a classification-only model—no text generation, 70ms latency, pennies per call.
Why it matters
A narrow-task model architecture challenges the generalist LLM paradigm. Practitioners evaluating cost and latency trade-offs now have a specialized alternative for high-volume classification workloads; enthusiasts see a divergence in model design philosophy emerging from the frontier labs.
The key facts
13 to knowFounder: Diogo Almeida, former OpenAI researcher
Company: TypeSafe AI
Model name: Jev
Core capability: classification only, no text generation
Response latency: starting at 70 milliseconds
Token pricing: extremely low (specific rates not disclosed)
Constraint: strictly adheres to preset options
Published: September 16, 2026
Model: Jev
Response latency: 70 milliseconds
Token pricing: extremely low (specific rate not disclosed)
Trade-off: guarantees preset-option constraint; no error-mitigation for wrong classification
Architecture: deliberately specialized, not general-purpose
Go to the source
The Decoderthe-decoder.com
Publisher excerpt: TypeSafe AI, founded by former OpenAI researcher Diogo Almeida, is releasing a model that deliberately generates no text. Instead of chat responses, "Jev" delivers pure classifications for software, with response times starting at 70 milliseconds and extremely low token prices. The approach doesn't…