Business discovery. Practical workflows. Clear demonstrations.
I research business needs, shape workflows, and use AI coding tools to build and refine demonstrations. My background in client delivery and live production informs how I turn an idea into something people can evaluate.
Carrying discovery evidence into options, economics, and a decision brief.
I shaped the discovery-to-decision journey and its handoff requirements.
Prototype slice · Guided decision brief
How I work
Make the problem clear. Make the next step testable.
01
Research & define
Understand the business, examine existing workflows, and turn open questions into requirements.
02
Direct, review & refine
Use AI coding tools hands-on, review the result, and request corrections against the intended workflow.
03
Demonstrate & explain
Walk through a realistic scenario, explain assumptions, and document the outcome and next decision.
Tools used across this work: ChatGPT · Codex · Cursor · Claude · Claude Code · Airtable · Apollo · Google Workspace
Experience
Built on work with people, deadlines, and real constraints.
Client delivery & live production2014–present
Production work brings practical experience with coordination, changing requirements, troubleshooting, and delivery under time pressure.
Founder · AIDIS ConsultingOctober 2025–present
Business research, workflow requirements, AI-assisted product direction, demonstrations, and internal operations.
Business ownership & event leadership
Recording studio co-ownership and festival production, including coordination of a ten-person crew.
Education & languages
B.S. in General Psychology, in progress. English and Spanish.
U.S. Army service, 2008–2014.
Leadership, training, and follow-through.
Led teams of 3–26 and trained more than 100 personnel. That experience is part of the service and delivery background I bring to my work today.
Supporting work
More ways to see the approach.
Studio Saige
A website concept organizing two audiences around a clear inquiry journey.
I organized project inquiries and artist submissions as separate journeys, each with its own fields and confirmation states. Live intake and conversion results are unverified.
DBDAY
A local experience exploring visual storytelling, pacing, and interface composition.
The local study uses chapters, focus treatment and reduced-motion behavior. It informed this portfolio’s pacing; a public launch or client adoption is unverified.