Designing an AI system is still design.
You study the people, map the flow, prototype, test, and refine. The material is different. The practice is the same.
My specialty is AI for work where the numbers matter: finance, insurance, and risk. Automation that a skeptical underwriter would actually trust.
By day, I designed and lead development of a multi-agent AI system for underwriting, partnering with IT.
Artie Studio
The problem
A researched video essay takes dozens of steps across research, script, storyboard, and image generation, spread over too many tools.
What I designed
One production app that runs the whole pipeline: research, script, beat sheet, image prompts, storyboard, and sequence, with a checkpoint wherever my judgment matters.
How it learns
Every script edit and image review feeds back into the system, so its drafts get closer to my voice and my visual style over time.
Skill Library & Atlas
The problem
AI assistants forget how you like things done.
What I designed
A library of 80+ custom AI skills. Each one encodes a repeatable workflow, like research, fact-checking, or visual direction. A searchable Atlas sorts them automatically, so the whole system stays easy to find and easy to improve.
PerilAI
An AI risk intelligence platform for insurers. More soon.
