Work across structure, environment, and systems.
/today → check-in → mode → next move → reflect → history
A working MVP that helps people choose the right next move based on their actual state—not an idealized version of themselves. Built around a canonical loop of check-in, interpretation, right-sized action, and reflection.
What it demonstrates
- Designing a self-regulation loop that connects state awareness, interpretation, action, and reflection
- Building a working full-stack MVP with Next.js, Supabase, authentication, stored results, and history
- Making human-centered product decisions by stabilizing the core non-AI loop before adding bounded AI
- Translating a messy human problem into a structured product experience
Mentor contact & support workflows
An AmeriCorps-inspired student-support prototype exploring how mentors and program staff could maintain better contact, organize learner needs, and use AI support layers to improve follow-through.
What it demonstrates
- Student support and mentor follow-through workflows
- Program operations and dashboard concepting
- AI support layers for coaches and program staff
Open-world education model
Independent education design project exploring open-world education: a framework for turning real places into rigorous, embodied, globally networked learning environments—with concept, brand, manifesto, and sample model around Meta Academy Tahoe.
What it demonstrates
- Place-based and embodied learning design
- Open-world mission and curriculum concepting
- AI mentorship framing that deepens attention to reality
- Public writing, product storytelling, and site development
Atmosphere, ritual, facilitation
A facilitation and experience-design project using gathering, ritual, and conversation to create environments for reflection and meaningful dialogue.
What it demonstrates
- Designing learning through environment and atmosphere
- Structuring open-ended experiences without over-controlling them
- Using facilitation and context to shape engagement