What People Are Building

“Actually built” means a public repository, demo, integration, or direct builder demonstration was located. It does not imply production validation.

ACTUALLY BUILT

HA-Jev

Builder: AboveColin
Source: source
What was built: A Home Assistant custom integration exposing Jev evaluations as sensors and automation actions.
Jev's role: Repeated state classification and typed automation decisions.
Architecture: Home Assistant state → TypeSafe evaluation → sensor/action result with a local token-budget guard.
Interesting insight: Decision models can act as a semantic layer inside an existing event-driven rules engine.
Repository / demo: source

typesafe-mcp

Builder: itsmostafa
Source: source
What was built: An MCP server exposing TypeSafe evaluation to coding agents.
Jev's role: Machine-readable decisions and probabilities available as agent tools.
Architecture: MCP client → server tool → TypeSafe API → typed response.
Interesting insight: The probability-bearing result can be preserved through agent infrastructure instead of flattened to prose.
Repository / demo: source

MAGI System on Jev

Builder: hide-G
Source: source
What was built: An open-source three-sage voting experiment inspired by Neon Genesis Evangelion.
Jev's role: Independent probabilistic judgments combined through majority voting.
Architecture: Question → three Jev evaluations → deterministic aggregation → decision.
Interesting insight: Cheap typed judgments invite ensemble and quorum experiments, though correlated errors still need measurement.
Repository / demo: source

Goblin HR

Builder: Kostysh
Source: source
What was built: A small inspectable demo that evaluates candidates for an impossible mission.
Jev's role: Scores/selects candidates while deterministic TypeScript assembles the party.
Architecture: Mission state → candidate decisions → deterministic application logic.
Interesting insight: Keeping selection probabilistic and execution deterministic makes the boundary easy to inspect.
Repository / demo: source

Axon Work integration

Builder: Axon Work author
Source: source
What was built: The author states that Axon Work uses Jev-style model decisions with a skill/action harness.
Jev's role: Decision layer feeding an action-delivery harness.
Architecture: Model decision → skill chain → action harness.
Interesting insight: A decision model can be invisible infrastructure beneath a workflow product.
Repository / demo: source

PROPOSED

Confidence-gated agent control loops

Builder: Developer discussion
Source: source
What was built: Use Jev repeatedly to route, verify, and decide whether an agent should continue or escalate.
Jev's role: Low-latency control decisions between generative steps.
Architecture: Agent state → route/verify/continue decisions → deterministic controller → next step.
Interesting insight: The potential is fewer unnecessary generative calls, not simply replacing one model endpoint.
Repository / demo: Not independently located

ACTUALLY BUILT

HA-Jev

Builder: AboveColin

Source: source

What was built: A Home Assistant custom integration exposing Jev evaluations as sensors and automation actions.

Jev's role: Repeated state classification and typed automation decisions.

Architecture: Home Assistant state → TypeSafe evaluation → sensor/action result with a local token-budget guard.

Interesting insight: Decision models can act as a semantic layer inside an existing event-driven rules engine.

Repository / demo: source

typesafe-mcp

Builder: itsmostafa

Source: source

What was built: An MCP server exposing TypeSafe evaluation to coding agents.

Jev's role: Machine-readable decisions and probabilities available as agent tools.

Architecture: MCP client → server tool → TypeSafe API → typed response.

Interesting insight: The probability-bearing result can be preserved through agent infrastructure instead of flattened to prose.

Repository / demo: source

MAGI System on Jev

Builder: hide-G

Source: source

What was built: An open-source three-sage voting experiment inspired by Neon Genesis Evangelion.

Jev's role: Independent probabilistic judgments combined through majority voting.

Architecture: Question → three Jev evaluations → deterministic aggregation → decision.

Interesting insight: Cheap typed judgments invite ensemble and quorum experiments, though correlated errors still need measurement.

Repository / demo: source

Goblin HR

Builder: Kostysh

Source: source

What was built: A small inspectable demo that evaluates candidates for an impossible mission.

Jev's role: Scores/selects candidates while deterministic TypeScript assembles the party.

Architecture: Mission state → candidate decisions → deterministic application logic.

Interesting insight: Keeping selection probabilistic and execution deterministic makes the boundary easy to inspect.

Repository / demo: source

Axon Work integration

Builder: Axon Work author

Source: source

What was built: The author states that Axon Work uses Jev-style model decisions with a skill/action harness.

Jev's role: Decision layer feeding an action-delivery harness.

Architecture: Model decision → skill chain → action harness.

Interesting insight: A decision model can be invisible infrastructure beneath a workflow product.

Repository / demo: source

PROPOSED

Confidence-gated agent control loops

Builder: Developer discussion

Source: source

What was built: Use Jev repeatedly to route, verify, and decide whether an agent should continue or escalate.

Jev's role: Low-latency control decisions between generative steps.

Architecture: Agent state → route/verify/continue decisions → deterministic controller → next step.

Interesting insight: The potential is fewer unnecessary generative calls, not simply replacing one model endpoint.

Repository / demo: Not independently located