Selected product work · Proof over polish

Product work—shown through the decisions that made it real.

Founder and client work across AI systems, SaaS, fintech, and marketplaces. Each case separates the context, product judgment, shipped slice, and evidence so you can assess how I work—not only how the interface looks.

See the work Explore the consulting sprint

Read for the reasoning, tradeoffs, and evidence behind the result.

Current founder work

The strongest proof is a product you can use.

Vivid Resume is the clearest example of how I frame, direct, review, and ship AI-enabled product work.

Vivid ResumeApplication materials shaped around a real opportunity.

A closed-beta AI product designed to connect a target job with a person’s actual experience.

  1. 01
    Start with the target jobThe opportunity sets the context.
  2. 02
    Ground it in real experienceThe person’s evidence sets the boundary.
  3. 03
    Shape useful materialsThe output stays relevant and reviewable.
Founder · Product direction · AI UX

Vivid Resume

How a broad résumé-generation idea became a focused, job-aware workflow with explicit standards for truth, relevance, and user control.

Status
Closed beta
Product context
Target job + actual experience
Quality standard
Truth · relevance · user control
See the decisionsRead the founder case studyView the productVisit Vivid Resume
Earlier product work

Different domains. The same responsibility for direction.

Each study is an account of the work and its context. Quantitative claims should be read with the supporting detail in the individual study.

Read through the same lens
  1. Context
  2. Product decision
  3. Evidence
  1. Elliptic AI interface
    01 Case study
    AI workflow

    Elliptic AI

    A multi-model workflow shaped around reducing repetitive iteration and making quality evaluation more deliberate.

    Role
    Founder & AI architect
    Scope
    Workflow, reliability, and cost
    Evidence available
    Interface and reliability workflow
    Read Elliptic AI case study
  2. Upstock equity platform
    02 Case study
    Fintech SaaS

    Upstock

    Product work focused on onboarding, adoption, and making a complicated equity experience easier to use.

    Role
    Head of product
    Scope
    Equity journeys and platform delivery
    Evidence available
    Product journey and delivery
    Read Upstock case study
  3. Farm Your Yard interface
    03 Case study
    Community marketplace

    Farm Your Yard

    A marketplace concept shaped around local participation, food production, and a practical path into the experience.

    Role
    Lead product manager
    Scope
    Marketplace, planning, and trust
    Evidence available
    Planning flow and interface
    Read Farm Your Yard case study
  4. Lapa Lopa interface
    04 Case study
    Services marketplace

    Lapa Lopa

    An on-demand services experience shaped around onboarding, service confidence, and repeatable operations.

    Role
    Lead product designer
    Scope
    Onboarding and booking
    Evidence available
    Booking and onboarding flow
    Read Lapa Lopa case study
The method behind the evidence

AI adds leverage. The product direction still needs an owner.

The Auteur Framework makes the reasoning behind AI-assisted delivery explicit: frame the reality, direct a bounded decision, verify the experience, and carry the learning forward.

How the method appears in the case studies

The same discipline connects the reading lens above to the work documented on this page.

  1. 01
    FrameMake the constraint explicit

    Understand the user, context, and tradeoffs before choosing a solution.

  2. 02
    DirectMake the decision inspectable

    State the intended outcome, boundaries, and rationale clearly enough to challenge.

  3. 03
    VerifyMake a useful slice real

    Exercise the actual experience and compare what shipped with the decision.

  4. 04
    LearnMake the evidence durable

    Carry observations, failures, and open questions into the next decision.

Read the Auteur Framework
From demonstrated work to your decision

Bring me the product decision your team cannot make clear yet.

These case studies show how I turn constraints into product direction. The five-day sprint applies the same judgment before your team commits to a build.

Discuss your opportunity Review the five-day sprint