AI Image QA Pipeline/AI Systems
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ai-image-qa-pipeline-design-brief.jsonc

Design specification for AI Image QA Pipeline · AD-5 Creative · v1.0

// The full JSONC brief drives every design decision in this demo:

  • colors — 7 layer accent colors, base surfaces, text hierarchy, Firestore amber, learning-loop teal
  • typography — Fully monospace: JetBrains Mono at all scales. Engineering/precision aesthetic.
  • framing — Option 3 bordered container, 44px meta bar, tech stack callouts
  • layout — Single-page scrollable, max 960px content width, 4 responsive breakpoints
  • components — Metric cards, layer accordion (7 layers), autonomy stages (4), infrastructure footer
  • motion — Page load stagger, smooth accordion expand/collapse, scroll reveal, metric card hover lift
  • pipeline — 7 automated quality gates from prompt assembly to autonomous learning loop
  • autonomy — 4 progressive stages from full review to dark factory (99% autonomous)

// Artifact source: ad5_image_factory_architecture_v2.jsx (783 lines, working prototype)

// Stack: Next.js 15 + TypeScript + CSS Variables (scoped, no Tailwind inside demo)

The full JSONC brief is available in the project repository at ai-image-qa-pipeline-design-brief.jsonc