Model heating mode when rooms have net heat loss in cold weather (<10°C).
AC units with heat pump capability (canHeat) provide heating capacity,
with the same 20% headroom threshold used for cooling. Adds cold risk
detection, cold-weather actions, and full frontend support including
heating mode timeline colors, room budget heating display, and i18n.
Insert step 5 (Configure AI) into the getting-started guide with
mentions of Setup > AI Summary, --llm-provider/--llm-model CLI flags,
and Ollama local support. Renumber Fetch Forecast to step 6 and View
Dashboard to step 7.
Replace CLI + SQLite architecture with a Go web server + vanilla JS
frontend using IndexedDB for all client-side data storage.
- Remove: cli, store, report, static packages
- Add: compute engine (BuildDashboard), server package, web UI
- Add: setup page with CRUD for profiles, rooms, devices, occupants, AC
- Add: dashboard with SVG temperature timeline, risk analysis, care checklist
- Add: i18n support (English/German) with server-side Go templates
- Add: LLM provider selection UI with client-side API key storage
- Add: per-room indoor temperature, edit buttons, language-aware AI summary
