calf-rehab

AI-assisted calf rehab and training coaching system: Claude project docs, recovery protocols, and Notion session-logging integration.

A personal AI coaching system built on Claude for calf/gastrocnemius rehab and return-to-sport training. It combines evidence-based recovery protocols with Notion-based session logging, tracking progress from injury through return to basketball, tag rugby, and strength training.

Repository structure

The folders follow the product process, in order.

Folder Purpose
problem_discovery/ What problem we are solving and for whom: problem definition, user interviews, injury research, competitive landscape.
solution_discovery/ Exploring ways to solve it: discovery plan, prototype prompts (Claude, Lovable, Figma Make) and the low-fidelity prototypes.
final_product/ The chosen solution: specs, the built product and its documentation.
supporting_documentation/ Reference material that supports all stages: the first-draft PRD, protocols, templates, decision records.

Root files: this README.md (orientation for people) and CLAUDE.md (operating instructions for Claude).

Status

Solution discovery is in progress. Five low-fidelity directions exist as HTML prototypes in solution_discovery/prototypes/, with a Lovable build in progress (preview) and a Figma Make build (five directions of its own) published at https://phys-prototypes.figma.site/. The interface decision is still open (PRD decision log, item 2). See supporting_documentation/claude_1st_draft_PRD.md.