Keep The Original
Retain the uploaded artwork so the output can be compared with the source and the user can return to it.
02 / InkTru / Applied AI / Product & Creative Direction
Creative Possibilities.
Production Controls.
InkTru brings brand direction and print-production requirements into an AI-assisted artwork workflow. My focus is on helping an idea become usable artwork—with the original preserved and the result checked.
- My Role
- Product Direction · Production Requirements · Testing
- Focus
- Brand · Artwork Preparation · Review Controls
- Stage
- Private Processing Pilot
The Context
A Better Image Is Only
Part Of The Job.
Artwork can look convincing on screen and still lose a detail that matters in print.
InkTru connects brand identity, a marketing website, and a private artwork-processing pilot. This case focuses on the pilot: preserving original artwork, reviewing changes, and preparing an output against production requirements.
I bring the print-production perspective, define the behavior I need, and evaluate real test results. AI assists the implementation and selected artwork workflows.
The Decisions
Catch The Detail
The Rebuild Changed.
In the red-garment test, an AI rebuild filled openings that should have remained transparent. Comparing the result with the preserved original exposed the problem.
Protect The Shapes
Add a tracing option that preserves shapes and open areas. This correction used a deterministic method rather than another AI redraw.
Require Review
Keep an approval step before preparation so visual decisions remain visible to the person responsible for the work.
The Result / One Verified Test
A Specific Problem.
A Checkable Correction.
3600 × 3600Transparent PNG Output
300 DPIExport Resolution Metadata
0Protected-Opening Pixels Filled
The protected-opening test met its digital checks. Physical print proofing remains the next validation step; this result does not establish readiness for every artwork type.
What I Brought
Production requirements, product direction, visual comparison, and test feedback. The implementation was developed with AI assistance.
What This Demonstrates
Applied AI judgment, artwork quality control, product iteration, and the ability to turn a production problem into a testable requirement.