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HA-Jev

AboveColin/HA-Jev · Homepage

Home Assistant integration that turns Jev's typed answers into sensors and actions.

Infra / SDKs / Integrations0.30Runner-up: Agent Decisions
Automated README summary

Automatically summarized from the README on 19 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A Home Assistant custom integration for TypeSafe Jev, a decision model. It turns typed questions about the house into sensors (probability, choice, score), exposes actions for automations, an AI Task entity, a conversation agent for Assist, and a house check.

How it uses Jev

Questions added in the UI or YAML become sensors: Jev answers a probability, one of the user's options with its distribution, or a number on a scale. Actions jev.noul, jev.choice, jev.score, jev.ask and jev.box answer inside automations and return a response variable; the AI Task and conversation agent route requests through the same model.

Primitives:choicescorenoul

Technique worth stealing

Treating a decision model's typed answers as Home Assistant entities, so probabilities, choices and scores can be automated on directly.

Try it

Install via HACS, add the Jev (TypeSafe) integration with an API key, then ask a first question.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.96
  • Shows a System One patternnot found in the excerpt0.35
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersnot found in the excerpt0.05
  • Is a runnable toolFound in material0.97
  • Top-10 learning shortlist signalnot found in the excerpt0.33
  • Is a replica of the modelnot found in the excerpt0.05
  • Solves a common problem (0–2)score on a 0–2 scale0.99 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.96Shows a System One pattern0.35Describes handling uncertainty0.04Reports measured numbers0.05Is a runnable tool0.97Top-10 learning shortlist signal0.33Is a replica of the model0.0500.51Solves a common problem (0–2)0.99 / 2012

no-judgment band (0.40–0.60)

Design patterns
Check-up0.2700.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 19 Oct 2026.