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A new kind of intelligence

Jev gives up text generation to gain superpowers that LLMs cannot match.

Calibrated Confidence

Every answer ships with an epistemically honest probability. Higher confidence means higher accuracy — consistently.

Zero Hallucinations

Outputs are pre-defined type-safe values. The model cannot go off the rails because it never generates free-form text.

70–500ms Latency

Parallel sampling generates all outputs in a single query. 40–200× faster than frontier LLMs on System One tasks.

Type-Safe by Design

Output structures are defined in advance. Type errors are mathematically impossible.

RLCD Training

Reinforcement Learning for Calibrated Decisions — optimized for honest probabilities, not human chat preferences.

Software-Native

Think of Jev as a frontier-intelligence function call. Slot it into ordinary code as a smart if-statement.