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Delivery methodology

Human-Governed AI Delivery Method

A reusable delivery methodology combining human-owned product direction with AI-assisted implementation, independent verification, durable handoffs and automated quality gates.

Delivery methodology

Method overview

A reusable delivery methodology combining human-owned product direction with AI-assisted implementation, independent verification, durable handoffs and automated quality gates.

Method ownership: Method owner, product director and release authority

Context and constraints

  • Product direction, content decisions and release approval had to remain human-owned throughout AI-assisted implementation.
  • Implementation and verification needed distinct roles, durable context and explicit acceptance gates.

Delivery stack

Delivery stack
  • Codex
  • Claude
  • GitHub Actions
  • PowerShell
  • Astro
  • Playwright

Method in practice

  • Define separate implementation and verification roles with explicit ownership, handoffs and review gates.
  • Apply the method across Astro delivery, interactive 2.5D storytelling, accessibility, content and document production.
  • Set repeatable acceptance criteria for content quality, responsive behaviour, accessibility and browser reliability.

Validation and outcome

  • The public repository contains durable delivery records, decisions, handoffs, risks and automated quality checks.
  • Unit, browser, accessibility, content and build tests cover the resulting portfolio release.
Outcome

Used to deliver and verify the professional Static View and Explore Anzania as one release with a public audit trail and repeatable quality checks.

Public scope

The method, its delivery practices and the available validation trail are documented in the public repository linked above.

Constraints and limits

  • This methodology is demonstrated through the portfolio release; it is not a standalone software product or client engagement.