
Understanding
is a form of
Power.
AI Engineer · Instructional Systems Designer · Researcher · Maker
I design learning experiences, governed AI workflows, research tools, adaptive fashion and public performances. Come see how I think. Then see what I'm building.
One point. My own course. The point is me, moving through my work, newest first.
That point is me.
All my life, I've been a highlighted dot navigating life, trying to see the forest for the trees.
Who gets understood?
Whose knowledge counts?
Who keeps the authority?
Instructional systems design is an established strength in my practice. I bring that practice into AI Engineering, safety and governance research, dramaturgy, adaptive fashion and public making. These practices meet in questions about understanding, participation, evidence and human agency.
Don't just read.
Try a decision.
Show how feedback changes a product through an interactive example. Compare Agile and Waterfall, and watch a simple booking flow change with learner input.
A process becomes something you can see.
- Version 1
- Revise
- Try again
- Review
Step 1 of 4. A first usable booking version makes the initial idea inspectable.
Fig. 1 — A booking flow under two delivery models. Illustrative scenario.
Inside the Practice
One person. Several projects. A shared way of working.

Reflexive
Keep the source. Contest the interpretation. Let the researcher decide what leaves.
Read the story →
Made Here / Moves Here
A body, a garment, a city. A proposition for adaptive fashion, dramaturgy and public performance.
Read the story →- # Contract Window — Bob First Mile
- ## Canonical user intent
- > Preserve user authority. Prevent
- > unauthorized scope expansion.
- > Produce verified evidence.
- Intent SHA-256: `b2c4f2d8…4db9`
- ### DONE
- - None. A card moves here only
- with an evidence reference.
Contract Window for Bob
Preserve intent. Authorize the action. Inspect the evidence.
Read the story →
CRGSLab
What is AI doing to us—and how do we keep people in charge? A research and engineering project whose methods connect across my practice.
Read the story →
Work in Motion
Making a complex professional story understandable across a personal website, LinkedIn, GitHub and a website collaboration.
Read the story →Find the problem.
Make it understandable.
Build. Check. Revise.
My working loop is identify a problem → investigate → write → build → test → revise. A paper, a learning experience, a governed AI workflow and a garment take different forms. Each asks what people need to understand, what the evidence supports and who keeps the authority.
CRGSLab is one project in that practice. Its research and governance methods may become part of how every project works, even if the lab name eventually disappears.