mybigday AI Feature Recipes
End-to-end wiring patterns. Each recipe lives in references/ — read the one
that matches, then adapt:
| Recipe | File | Use for |
|---|---|---|
| Voice kiosk | references/voice-kiosk.md | Talk-to-it kiosks, voice ordering, information desks |
| Document Q&A / RAG | references/doc-qa.md | "Answer questions about our menu/manual/products" |
| Live captions | references/live-captions.md | Realtime transcription on screen |
| Generative signage | references/generative-signage.md | AI-generated ambient visuals |
Announce at start: "I'm using the ai-recipes skill — following the recipe."
Rules that apply to every recipe
- Prerequisites first. Generator and model must already be chosen
(
ai-generators,ai-model-selection). If not, do that first. - State lives in the Property Bank. Every recipe defines a small state
machine (e.g.
idle → listening → thinking → speaking). Drive ALL UI from those properties — never from ad-hoc event side effects — so the UI stays consistent and testable. - Offline behavior is part of the feature. Local pipelines: state what happens while models download/heat up (first launch needs network unless models are preloaded). Cloud pieces: define the degrade path (cached content, default media, hidden entry point) — a public screen must never show an error card.
- Lifecycle on low-RAM devices. Use heat-up options when latency matters
and RAM allows; use
only-in-uselive policies when several AI contexts share a constrained device. - Verification loop. After wiring: compile the project → walk the state
machine in the simulator (drive properties manually to preview each UI
state) → deploy to a real device for latency and audio checks — mic,
speaker, and true model speed exist only there. The built-in
bricks-cliskill covers deployment and on-device inspection. - Announce failure states. Wire the error events of every generator to a visible-but-graceful state (retry, fallback content) and log them — silent AI failures on a kiosk look like a frozen app.
When Not To Use
- Choosing generators or models —
ai-generators/ai-model-selection. - Importing the documents that feed RAG — the
document-essentialsplugin'spdf/docx/xlsx/pptxskills handle file → content; this skill consumes their output. - The CTOR editor's own chat — app settings.