PMBaseline
Choose the next move that fits the state you’re actually in.
/today → check-in → mode → next move → reflect → history
PMBaseline is a self-regulation and learning technology MVP I’m building to help users notice where they are, interpret what mode they’re in, take a right-sized action, and reflect on whether it helped protect or restore their baseline. The current version is intentionally non-AI while the core loop stabilizes, with bounded AI planned only after the system proves useful and reliable.
What it is
PMBaseline is a self-regulation and learning technology MVP I’m building to help users notice where they are, interpret what mode they’re in, take a right-sized action, and reflect on whether it helped protect or restore their baseline. The current version is intentionally non-AI while the core loop stabilizes, with bounded AI planned only after the system proves useful and reliable.
The product evolved from an early habit-and-minimum tracker into a baseline companion focused on honest state awareness—not performance at your best every day. It is not a generic habit tracker, productivity app, wellness app, or finished commercial product.
Core user flow: /today → quick check-in → suggested mode → right-sized next move → accept action → reflect → history. The underlying learning loop is awareness → interpretation → right-sized action → reflection → pattern recognition over time.
Current MVP
- Status
- Working MVP in beta — active development
- Stack
- Next.js, Supabase, deterministic interpretation engine
- Working today
- Authentication, quick check-in flow, stored interpretation results, recommended next actions, action acceptance, reflection, history, and a separated legacy prototype route
- Access
- Available by request — contact me for a walkthrough or beta access
Product philosophy
PMBaseline is designed for self-regulation without shame or productivity punishment. Instead of pushing users to perform at their best every day, it helps them respond to the state they are actually in. The goal is not streak guilt. The goal is better self-knowledge over time: awareness → interpretation → right-sized action → reflection → pattern recognition.
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
Role & skills
Role: Product Designer / Full-Stack Builder / Learning Technology Prototyper
Skills
- Self-regulation UX
- Behavior design
- Reflection loops
- Product architecture
- Next.js
- Supabase
- Deterministic system design
- Human-centered AI readiness
- Learning technology
- Translating messy human problems into structured product flows
MVP interface
These screenshots show the current working MVP interface. The app is in active beta development, and access is available by request.
Today command center
Daily loop entry point after a completed baseline loop.
Concept asset: baseline philosophy deck
Early visual concept deck for the 10-Day PMBaseline Reset — a surfing metaphor used to introduce the baseline philosophy.
These visuals were created as a metaphorical introduction to the baseline philosophy, not as screenshots of the current MVP.
Interested in PMBaseline or the MVP?
The app is in active beta development. Reach out for a walkthrough, access request, or conversation about self-regulation design, student-success support, and ed-tech product work.