Noah Veenstra

Experience design · AI workflows · Creative systems

I turn complicated work into useful experiences, from AI assisted research to the details that make a product feel right.

Marketing Associate at CORE Construction. B.A. in Experience Architecture, Michigan State University.

Featured project · Local proof of concept

Pursuit Intelligence

A local AI research workflow for finding specific project stories buried in past proposals and tracing each result to its source.

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Selected work

An illustrated design decision: finding a specific experience instead of returning project facts

Product direction · Information architecture · Iteration

Pursuit Intelligence

I connected people, projects, proposal stories, and source records so I could find relevant experience and verify it before reuse.

Used on real proposal work

On a live pursuit, the local tool found a specific career fair story in an older proposal. I verified it against the original proposal and used that evidence to answer the new pursuit’s question.

The local workflow now informs a national ChatGPT plugin backed by SharePoint, still in development.

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The wedding website's current homepage, with floating navigation above a desert photograph

Wedding Website

Guests RSVP for their whole household in one guided flow. Leah updates the FAQ and Our Story right on the page, without wrestling a separate admin backend.

Interaction design · Product decisions · AI assisted buildLive website

Noah singing and playing acoustic guitar while leading worship at Salt Company

Saint City Chapel

Made a complex live sound setup easier for volunteers to learn and troubleshoot with a shared signal flow guide. Took custom apparel from first sketch to roughly 300 pieces worn across the community.

Team leadership · Live production · ApparelVolunteer · 2025–2026

Earlier work & concepts

Instagram Posting UIConcept

A 2024 interface concept that puts frequent posting controls first; the assumptions about what deserves priority remain untested.

Apple MusicConcept

Two Apple Music feature concepts based on personal experience and informal peer input, not validated evidence of why people switch.