AI pipeline pre-flight (mise en place)
#2 · Domain: Culinary arts · Category: quality-control · Difficulty: 🟢 Low
Core principle
No heat until ingredients are prepped, measured, and in place.
AI problem addressed
Pipelines run with missing context then backfill assumptions.
Implementation
Checklist before generate:
- Required input variables present and non-empty
- Referenced prior outputs exist in context
- Uploaded files attached and parsed
- System constraints loaded
- Required tools authenticated HALT and report gaps if any fail.
Boundaries
- Prototype as prompt scaffold (🟢) before full pipeline middleware (🟡/🔴)
- Category router:
ai-transfer-quality-control - Catalog:
ai-transfer-ecosystem-primer - Runtime plugin id:
mise_en_place