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The AI Agent Delivery Pipeline

Competitors say “transparent process.” We treat the process as a shipped product: artifacts, gates, and an auditable trail.

  1. 1

    Brief → Agent plan (Day 1)

    Goals → constraints → success metrics → delivery map. You get clarity, not meetings.

    Artifacts shipped
    • Success metrics
    • Scope constraints
    • Delivery map
  2. 2

    Structure → Copy → Backlog (Days 2–3)

    We generate a sitemap, a copy deck, and implementation tickets with acceptance criteria.

    Artifacts shipped
    • Sitemap
    • Copy deck
    • Backlog with acceptance criteria
  3. 3

    Build → QA (Days 4–9)

    Implementation with semantic HTML, responsive layout, performance budgets, and accessibility hygiene.

    Artifacts shipped
    • Static build
    • QA checklist
    • Test plan
  4. 4

    Launch → Iterate (Day 10+)

    Deploy checklist, SEO hygiene, and conversion experiments. Improvements are planned, not improvised.

    Artifacts shipped
    • Launch checklist
    • SEO checklist
    • Experiment backlog

What makes it auditable?

  • Decision records (ADR) for key choices
  • Backlog tickets with acceptance criteria
  • QA checklist & test plan for predictable quality
  • SEO page map + metadata hygiene