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Case Depth

Design trustworthy AIfor real workflows.

AI UX · PRODUCT STRATEGY · INTERFACE DESIGN · VALIDATION

I design AI-powered products that turn complex workflows into clear, usable, and trustworthy experiences, from product strategy to polished UI.

When the brief is blank,
I create the first useful map.

SYS.02 / DESIGN MINDSET

How I shape AI interfaces.

Intent, control, trust states, and buildable detail — the craft behind every AI surface.

01
01

AI With Intent

Every AI feature starts with a clear user need, workflow fit, and reason for intelligence to exist in the product.

02
02

Human Control

Generated outputs need clear review, edit, regenerate, approve, and override paths so people stay in charge.

03
03

Trustworthy UI

Confidence states, source context, uncertainty, and failure modes are designed into the experience.

04
04

Buildable Systems

Final artifacts account for model behavior, edge cases, product constraints, handoff, QA, and iteration.

[ FRONTIER_READY ]

I start where the product does not exist yet.

Research, mocks, and fast prototypes create enough certainty to move —

then the craft turns that direction into something teams can ship.

About Me

I create direction before the product is obvious.

I specialize in early AI product work: incomplete briefs, undefined surfaces, and teams that need direction before they can commit. Once the path is clear, I design the interaction patterns, review loops, and interface decisions that make the system usable day to day.

01

Comfort With Ambiguity

I do my best work in greenfield and undefined spaces — clarifying the problem, aligning teams, and creating direction before the path is obvious.

02

Speed To Clarity

When there is no full brief, I move fast: competitive research, rough mocks, and disposable prototypes that unlock buy-in and reveal what the product should become.

03

AI With Intent

Every AI feature starts with a clear user need, workflow fit, and reason for intelligence to exist in the product.

04

Human Control

Generated outputs need clear review, edit, regenerate, approve, and override paths so people stay in charge.

05

Trustworthy UI

Confidence states, source context, uncertainty, and failure modes are designed into the experience.

06

Buildable Systems

Final artifacts account for model behavior, edge cases, product constraints, handoff, QA, and iteration.

AI Design ProcessOpen questions to implementation.

A practical sequence for aligning product, design, and engineering around what the system should do, how people stay in control, and what ships next.

  1. 01Frame
  2. 02Model
  3. 03Prompt
  4. 04Prototype
  5. 05Validate
  6. 06Handoff
AI-native build tools

I use agentic coding tools to prototype faster, explore interaction ideas in code, and turn design direction into something teams can react to sooner.

  • Cursor
  • Claude Code
  • Codex
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Evidence/Specs/Handoff

What I leave behind on every engagement.

Documentation that helps product, engineering, and leadership make the next decision with less guesswork.

  • →AI workflow maps and opportunity framing
  • →Prompt, input, and output interaction models
  • →Human-in-the-loop review patterns
  • →Trust, confidence, and error-state design
  • →Usability findings for AI-generated outputs
  • →Implementation notes, QA criteria, and edge cases
System / Ready

Have an undefined AI problem?

If you need someone who can enter a blank slate, create direction quickly, and design AI experiences people will actually use — let’s talk.

EmailView Process