JevCodeSystem One · A typed decision layer
Give your software deterministic AI decisions
Jev is not a chat model. It takes unstructured state plus a typed question and returns a typed decision — a choice, a score, or a boolean, each with a confidence. That makes it a drop-in decision layer for software.
Three question primitives
Every decision reduces to one of three typed questions. Choosing the right primitive is the first step toward a reliable decision system.
Pick one from a set
Given a set of mutually exclusive options, the model returns the selected option with a confidence. Used for intent classification, ticket routing, action selection.
ScoreRate along a scale
Rate along a defined scale or rubric, returning a numeric value with confidence. Used for relevance ranking, quality assessment, risk grading.
NoulProbability of yes/no
Ask a yes/no question and get the probability the answer is yes. Used for verification, claim checking, agent guardrails.
Architecture patterns
From single calls to multi-stage pipelines, these patterns cover the decision architectures that show up most in production.
Intent routing
Dispatch requests to downstream handlers with a single Choice call, replacing brittle regex and keyword matching.
Confidence routing
Route by confidence: auto-execute when high, escalate to a human or a stronger model when low.
Composite scoring
Combine several Score dimensions into a single ranking metric, making ranking logic explainable and tunable.
Fan-out
Issue many independent judgements in parallel and aggregate, cutting total latency and raising throughput.
Ecosystem and real cases
Teams are already using Jev in production for classification and routing, verification, scoring and ranking, and agent guardrails.
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