● Competency 02 — AI Factories

AI Factories

Harley Factory: multi-model orchestration, agents and production pipelines, with independent review before anything ships.

Business job: Turn complex software delivery into controlled, reviewable execution.

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Competency overview — select a capability point to open its demonstration

Intent → lanes → review → verify → releaseWork orderWO-114Acceptanceexercised at runtimereviewed by a second personreview record kepttestsruntime readbackread at runtimeArchitecture boundaryOrchestratorbounded tasksArchitectFrontendBackendDataReviewQABrowserchange #4186 files · reviewableIndependent reviewsecond reviewerfinding FF-7 routed backrework before releasecorrectionfinding applied · re-testedIntent → reviewed release.

Scroll: intent enters, lanes run, a finding comes back.

Owner intent — A request arrives as a work order, not a prompt

Live evidence

One trace from operational input to controlled output.

  1. 01Input
  2. 02Planning
  3. 03Agents / models
  4. 04Controlled execution25 controlled stages
  5. 05Validation
  6. 06Evidence
  7. 07Production output

Before · built · business effect

What this competency is for.

Before
Complex delivery work arrives as a request, and the scope, the owner of each part and the definition of done are usually unclear until late.
Built
Each work order is decomposed into bounded tasks, routed to the lanes that fit, reviewed by a different lane and exercised before release.
Business effect
Delivery becomes reviewable: a finding returns to its author, and release follows the checks rather than a deadline or a confident summary.
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AI Factories

Multi-agent production systems that plan, build, review and verify work.

Choose a system above to see how it moves from input to outcome.

Systems in operation

Working structures behind the competency.

  • 01

    Product factory control

    25 controlled stages

    Owner intent → architecture → specialist work → acceptance → assurance

  • 02

    Independent release gates

    Readiness is never inferred

    Adversarial review → QA → security → runtime → staging → acceptance

  • 03

    Owner-controlled execution

    External actions stay gated

    Decision → permission → bounded execution → readback → retained state

How the factory runs

  • 01

    Work orders are decomposed into bounded tasks with named owners.

  • 02

    An independent reviewer can return a change to its author before it ships.

  • 03

    Release waits until the change has been exercised and passes its check.

Technical details
  • Models, tools and agents are routed per lane, so one task can use several without losing the work order.
  • The review lane is staffed by a reviewer other than the author of the change.
  • Runtime behaviour is exercised before a change reaches release.

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Questions

Questions we are asked about AI Factories.

Who reviews work before it ships?
A lane that did not write the change reviews it, and a finding returns to the author, so the same lane never approves its own work.
Does the factory release work on its own?
No. Release waits until the change has been exercised and passes its check, and the owner acceptance step still decides what goes out.
Does one work order use one model?
No. Each work order is decomposed into bounded tasks and routed to the lane that fits the task, so several lanes can work on one order without losing it.