I shape complex products around how customers think.

I design B2B SaaS and enterprise AI around familiar workflows, so customers can focus on their work instead of learning the system.

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Featured work

A selection of work across B2B SaaS, enterprise AI and AI-assisted workflows. Each study focuses on the decisions behind the design.

Evaluation resultFailed
Query
When should a filter be replaced?
Expected answer
After six months.
Agent answer
After twelve months.
Retrieved evidence
“…replace after twelve months…”Archived guide.pdf
Exclude chunkEdit expected answerView source collection
Re-run evaluation

Designing governable knowledge for enterprise AI

An independent exploration of how enterprise teams could connect governed sources, define reusable knowledge scope, and diagnose answer-quality failures across an AI platform.

  • Product strategy
  • Systems design
  • Validation

Describe your image

Create an editorial product image of an ivory ceramic vase with an olive branch. Use a warm sand background and soft daylight from the left. Keep the composition quiet, with room around the subject. No logos, people or text.
Generate image

Image direction

Subject
Ceramic vase with an olive branch
Background
Warm sand
Lighting
Soft daylight · From the left

Set the visual decisions directly. Review the instruction before generating.

Review instructionGenerate image

Making creative direction reusable in an AI workflow

A generalized practice study of how familiar professional decisions, reusable creative direction, and reversible advanced control could make AI interaction more legible without treating prompt writing as the user's job.

  • Discovery
  • Interaction design
  • Systems design

Current projects

Ongoing product work shared at the level currently available.

  • Green Together

    Leading product design and strategy for a climate-action platform, including its initial design system and experience direction.

    In progress

  • Signal

    An early-stage exploration of a ticket-based AI workflow for building implementation literacy and making more informed decisions about generated code.

    Coming soon