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ha-gutcheck

funkadelic/ha-gutcheck

Home Assistant checkup using Jev to spot issues and suggest fixes.

Verification & Guardrails0.16Runner-up: Scoring & RankingViewfinder
Automated README summary

Automatically summarized from the README on 4 Nov 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Gut Check is a Home Assistant integration that runs weekly checks on your install, finding unavailable entities, risky updates, stuck integrations, and missing labels or areas, and suggests fixes for you to review.

How it uses Jev

Jev makes judgment calls for each check: sorting unavailable entities, scoring update release notes, suggesting areas or device classes, classifying integration errors, and deciding if sensors are critical or diagnostic. Gut Check sends a short description and a fixed list of answers; Jev returns a choice and confidence, and low-confidence items are left alone.

Primitives:choicescore

Technique worth stealing

Use Jev's calibrated confidence to gate actions: only act when confident, otherwise mark unsure and leave alone.

Try it

Install via HACS, create a TypeSafe AI API key, and add the integration in Settings > Devices & services.

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-1.14.0
Project signals
jev-1.14.0
Category
jev-1.14.0
Pattern tags
jev-1.14.0

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 material0.93
  • Shows a System One patternunclear0.50
  • Describes handling uncertaintynot found in the excerpt0.05
  • Reports measured numbersnot found in the excerpt0.04
  • Is a runnable toolFound in material0.97
  • Top-10 learning shortlist signalnot found in the excerpt0.13
  • Is a replica of the modelnot found in the excerpt0.05
  • Solves a common problem (0–2)score on a 0–2 scale1.07 / 2
  • About JevFound in material0.96
Signals
Jev is core to the project0.93Shows a System One pattern0.50Describes handling uncertainty0.05Reports measured numbers0.04Is a runnable tool0.97Top-10 learning shortlist signal0.13Is a replica of the model0.0500.51Solves a common problem (0–2)1.07 / 2012

no-judgment band (0.40–0.60)

Design patterns
Viewfinder0.70Funnel0.50Grey zone0.46Traffic light0.33Fail open, fail closed0.30Inspection0.2200.51

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 4 Nov 2026.