Jasmine Sarabia

Jasmine Sarabia

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AI Workflow Systems

AI Creative Workflow Systems

Designing repeatable AI workflows that help creative teams move from brief to concept, review, and production-ready handoff.

The problem

Creative teams were already experimenting with AI, but the process around those outputs was not reliable enough to scale.

BRIEF

Inconsistent briefs

Different teams started with different inputs.

SOURCES

Unclear source material

Approved context wasn’t always obvious.

AI TOOLS

Disconnected tools

Different models, no shared workflow.

OUTPUT

Hard to repeat

A strong result could still remain a one-off.

REVIEW

Version drift

Experiments could outlive current brand guidance.

HANDOFF

Manual bottlenecks

Work still moved manually between stages.

So I redesigned the workflow itself.

I mapped what should stay human, where AI could assist, and what needed review before work moved forward.

01

Frame

Request → structured brief

Turn an unstructured request into a clear creative starting point.

Creative Brief Compiler
02

Explore

Brief → multiple creative territories

Develop several distinct directions before committing to one.

Territory Assistant
03

Develop

Territory → messaging + visual direction

Translate the selected direction into more specific creative expression.

Message Route AssistantVisual Direction Prompt
04

Review

Creative output → human judgment

Evaluate the work against the original intent before it moves forward.

Human Review

05

Deliver

Approved direction → review-ready output

Move forward with a refined creative result that can enter production or handoff.

Final Creative Output

Capabilities designed across the system.

Briefing

Brand Intelligence

Creative Direction

Content & Copy

Presentation

Creative Tools

Evaluation

Speculative athletic shoe sole concept rendered in charcoal and clay tones

Applied to product design

Sole Exploration

A speculative product-design application of the workflow for rapidly exploring sole geometry and material behavior while protecting core product identity.

View case study