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AI-Forward QA System

Move fast without losing control. AI generates plans, page objects, and specs quickly, but nothing matters until it survives deterministic execution, artifact capture, triage, and release control.

What this path is

This is the accelerated path for teams already embracing AI-generated tests. Generation is not the value by itself. The value is a validation layer strong enough to make the output safe.

Walkthrough structure

  1. AI generation of plans, locators, and tests
  2. Validation pass on structure and assumptions
  3. Deterministic execution layer
  4. Structured failure artifacts and classification
  5. Release decision through GO / WARN / BLOCK

What you get

  • Validated AI-generated assets
  • Artifact-first failure outputs
  • triage-report.json
  • release-gate.json
  • Repeatable execution pipeline

Trust-based entry points

Low trust

AI-forward on a low-trust system will fail. This path is not the starting point.

  • Run anti-pattern validation first
  • Stabilize with Sprint 3–5
  • Adopt AI-forward only after trust improves

Medium trust

Acceleration becomes possible if the validation layer is added immediately.

  • Sprint 14 — Artifact Contract
  • Sprint 15 — CI Failure Triage Agent
  • Sprint 17 — Release Gate Agent

High trust

This is where the AI-forward path actually works well.

  • Sprint 9.5 — URL-to-Test-Plan Agent
  • Sprint 14–17 — Full validation and decision layer

Who this is for