What problem does it solve?
ShopFloor AI orchestration unifies messy shop data and onboarding steps into a single public-facing orchestrator, coordinating the end-to-end workflow from shop context generation to SME shells and knowledge packs. It ensures consistency across onboarding stages and routes ready-state questions to the SME Manager by default, without bypassing the core Layer 1-4 stack.
Core Features & Use Cases
- End-to-end orchestration of the ShopFloor AI onboarding flow from raw inputs to finalised shop-reference, SME shells, and knowledge packs.
- Shop context construction from attached routers, machine lists, work orders, travelers, and operation files to build a shop-specific reference.
- SME lifecycle management by coordinating SME Generator and SME Knowledge Builder and producing the necessary outputs for SME routing.
- Question-mode readiness enabling the SME Manager to answer shop questions once all outputs exist.
- Input-source agnostic workflow that uses provided shop data (inputs/attachments) while ignoring non-shop public docs unless supplied.
Quick Start
Say "run shopfloor-ai" with your attached inputs to start the full onboarding flow.