Engineering process · AI-assisted delivery · human architecture control
AI Agent Factory and Validation Harness Engineering Workflow
The work uses AI-assisted research, specialized advisors, validation harnesses, screenshots, tests, release-readiness checks, and human-owned architecture decisions to move faster without treating AI output as automatically correct.
Private engineering workflow · Updated 2026-08-22
How AI is used
AI tools are used as an engineering accelerator: research, implementation assistance, review, documentation, screenshot evidence, testing support, benchmark analysis, and release-readiness reasoning.
- Factory-agents workflow coordinates specialized analysis and review.
- Fable/advisor review helps challenge assumptions and improve copy, UX, SEO, and architecture.
- Validation harnesses and tests keep changes evidence-driven.
- Human architecture and release decisions remain the controlling authority.
What this does not mean
The agent factory is an internal engineering capability, not a public customer dependency and not proof that every generated line is correct by itself.
- AI assistance is paired with tests, reviews, screenshots, and deployment checks.
- Sensitive client code or secrets should not be exposed to external AI providers without policy approval.
Claims, limits, and safe interpretation
- This public page describes the engineering workflow at a high level and does not disclose private prompts, credentials, source code, or deployment details.
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