Image Asset Pipeline (Limner)

Context

Needed to produce consistent, scalable visual assets — game sprites, UI elements, icons, and print-resolution portraits. No single AI tool handles the full pipeline from concept to production-ready output. Each tool excels at one stage but produces inconsistent results when used alone at scale.

Approach

Designed a multi-stage production pipeline with explicit handoff points and autonomous quality control:

- Stage 1: MidJourney for concept exploration and high-fidelity starting images
- Stage 2: PixelLab (via custom "Limner" agent) for pixel art conversion and bulk generation
- Stage 3: Automated quality gating — non-conforming outputs rejected before delivery
- Stage 4: Vectorization for scalable, print-ready output at any resolution

Built the Limner agent as a dedicated pixel art specialist with trained workflows for consistent style enforcement across batches.

Outcome

Production pipeline capable of generating consistent asset sets at any scale. Multiple batches of 500+ uniformly stylized assets produced autonomously with zero human intervention required. Successfully applied to: game assets (VGA-era pixel art), UI elements, icon sets, and vanity portraiture at print resolution.