Skip to main content

Manager Queries

Planned (Phase 4) A manager should be able to ask the AI about any client, style, or order and get a consistent, complete, source-linked answer in seconds — instead of digging through months of email threads.

The query

The canonical question:
“What is happening with Jaspal style J26WGW153?”
Or variants:
“Show all RFQs waiting for quotation.” “Which styles have true cost but no quotation?” “Summarize latest client comments on this style.”
This is a query surface, not a chatbot. The queries are scoped templates, not free-form conversation. See Principles.

The challenge

A style lifecycle at VinMake takes 4–6 months from RFQ to bulk delivery. Along the way it accumulates:
  • Many email threads
  • Multiple client PICs
  • Multiple VinMake staff
  • Tech pack revisions
  • Sample comments
  • Costing updates
  • Negotiations
  • PO changes
  • Production updates
  • Delivery updates
No human can hold that in their head. The agent has to do strong retrieval and return a structured answer — not a wandering summary.

Required output structure

Every answer follows the same structure. The agent does not invent sections or skip sections. Consistency is the point.
The target is roughly 95% consistency in milestone structure across repeated queries. That target is aspirational and will be measured. To hit it, the agent needs:
  • Structured retrieval (not raw LLM recall)
  • A deterministic response template
  • Cached milestone extraction where possible
  • Source-linked artifacts on every claim

Example answer

Every claim links to its source: the original email, the tech pack, the BOM record, the true cost draft, the CutMake record.

What this is not

  • Not a chatbot. The agent answers from a scoped set of query templates.
  • Not unsourced. Every assertion links back to an artifact.
  • Not free-form. The structure is fixed. Sections don’t move.