Design background, productized output
I use a design foundation to structure problems, then deliver workflows, templates, and evaluation systems — not just visuals.
About
Product design, AIGC workflows, and lightweight prototyping
I combine product design, AIGC workflow design, prompt system thinking, and lightweight technical prototyping.
With an academic design background and hands-on industry experience in AIGC creative production, I focus on turning AI capabilities into usable, evaluable, and reusable production systems.
My design training — spatial narrative, participatory interaction, and visual systems — shapes how I structure AI workflows: not as one-off prompts, but as repeatable systems with clear inputs, evaluation, and handoff.
Case Studies and Workflow show my current AI product work. Foundations archives earlier projects — from installations and architecture to product UI such as Upay — as the background that informs how I think about experience, systems, and production.
Current focus areas
AI product experience
AIGC content pipeline
Prompt system design
AI-generated content evaluation
Agent prototype
Creative workflow automation
How I work
Prompt systems over one-off prompts
I turn vague creative needs into reusable prompt components, references, and constraints that produce consistent results.
Evaluation as a first-class step
I build scoring frameworks so AI output can be reviewed objectively across aesthetics, consistency, usability, safety, and business relevance.
Prototype to validate
I use Coze, Python logic, and vibe coding to prototype lightweight tools and validate workflows in real scenarios.
Resume & next steps
A concise overview of the work
This portfolio is anonymized for technical exchange. Download the resume for a concise overview of the systems, prototypes, and design foundations shown here.