Build blueprint
Home Automation Intent Layer
A Home Assistant layer turning state changes into typed comfort, safety, and automation decisions.
- Problem
- Smart-home rules become unmanageable when context spans occupants, weather, devices, and routines.
- Why Jev
- Home state changes continuously and needs bounded decisions with local budget controls.
- Architecture
- Home Assistant state → parallel decisions → safety rules → service calls.
- Current alternative
- Large YAML rule trees or cloud LLM automations.
- Jev advantage
- Frequent evaluation can simplify rules while deterministic safety constraints remain authoritative.
- Unknowns
- Cloud dependence, privacy, and reliability during outages.
Why this confidence: An independent open-source integration already demonstrates feasibility.
This is an authored hypothesis derived from the research corpus. Nothing here demonstrates product demand, or that Jev performs well on this particular workload. Run the validation experiment before building past the MVP.
Sources
Limitations
- Cloud dependence, privacy, and reliability during outages.
- This is a research hypothesis, not evidence of product demand or Jev performance in this workflow.
Supporting research
- Confidence gate PlausibleAutomation proceeds above a threshold; ambiguous cases go to another check or a person.
- HA-Jev ObservedA Home Assistant custom integration exposing Jev evaluations as sensors and automation actions.
- The strongest near-term architecture is Jev as a complement and control layer around generative models. PlausibleJev produces decisions rather than prose, and Vercel exposes it through an evaluation-oriented API.
- Probabilistic predicate + deterministic action PlausibleJev supplies fuzzy predicates while TypeScript, policies, and workflows execute constrained actions.