Work → Case study

From script to shopping brief

A wardrobe AI harness for a major streaming studio's TV production. (Client name confidential.)

The problem

On a television production, the wardrobe department runs on the script breakdown: every scene, every character, every costume, tracked by hand across shooting schedules that never run in story order. Each script revision restarts the work. Continuity mistakes — a jacket that changes between scenes shot on the same day — are expensive to reshoot. And the paperwork extends past set: procurement lists, quick-change planning, stunt-double duplicates, customs manifests for international shoots.

What we built

A chat-driven copilot for the costume team. Designers upload screenplays, shooting schedules, and casting sheets; a deterministic parser — built on published academic screenplay-parsing research — structures scenes and characters in under two seconds, then AI enrichment extracts wardrobe mentions, continuity signals, and action flags in the background.

From that knowledge base, the agent produces working deliverables, not chat answers:

The harness pattern

The domain knowledge lives in roughly 27 swappable tool modules around a general orchestrator. Every model call routes through a single registry and gateway with provider fallback, and every image generation is governed by a versioned, model-independent prompt contract — so the system survives model deprecations by design. It is a model-agnostic harness, currently deployed on Gemini.

The same chassis was later instantiated for a completely different industry: recruiting.

Verifiable facts

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