● 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.
Explore what we build
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.
- 01Input
- 02Planning
- 03Agents / models
- 04Controlled execution25 controlled stages
- 05Validation
- 06Evidence
- 07Production output
Product
Harley Factory
Multi-agent production systems that plan, build, review and verify work.
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.
Explore
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.
Surfaces shown: website-native SVG, Canvas and native-ratio campaign media.
Have a system that needs shipping discipline?
Build