FDE Field Method

One method for Principal Architect and Forward Deployed loops: clarify the workflow, ship a thin production wedge under real constraints, govern irreversible actions, then hand off ownership.

This is not a sixth mega-platform — it is the operating method that turns the existing 5-spine stack into customer-ready delivery proof.

Discover → score → ship → govern → eval → handoff

  1. 01

    Discover

    Week-1 checklist: jobs to be done, systems of record, SSO/ACLs, data reality, irreversible actions, change windows, success metric, exit owner.

  2. 02

    Score the wedge

    Rank use cases on value × feasibility × risk × reuse × named sponsor. Prefer ≤90-day measurable outcomes over platform theater.

  3. 03

    Ship the walking skeleton

    Read/assist path first. Access-before-ranking retrieval. Integrate into their identity and event planes — not a demo VPC forever.

  4. 04

    Govern irreversible actions

    HITL and policy gates on writes that cannot be undone. Decline-on-low-confidence beats fake autonomy.

  5. 05

    Eval before rollout

    Groundedness, tool success, HITL reject rate, and a baseline window for any $ savings claim.

  6. 06

    Handoff ownership

    Runbooks, prompt/eval owners, and a team that can operate after the FDE leaves the critical path.

What I ask before proposing architecture

  • Who waits on what decision today — and what metric moves in 90 days?
  • Which system is source of truth for writes?
  • How does identity flow (SSO, groups, row/object ACLs) into retrieval?
  • Which actions are irreversible on day one?
  • What is the change-control window and who can approve production?
  • Who owns the system when I leave the critical path?

Evidence rules panels can trust

  • Lucid Supply Chain / Commerce work is framed as an internal customer embed — not invented third-party logos.
  • Open reference repos (AegisAI, VAP, Enterprise RAG, Content Factory) show how I build; they are not claims that Lucid runs those exact repos.
  • Apple/Google work was client engagement via Sparity — not direct Google employment.