USMMA Wrestling: AI-powered site management for non-technical stakeholders
Built a recruitment platform for the US Merchant Marine Academy wrestling program — stakeholders describe changes in plain English, a Claude Code sandbox makes the edits, creates a PR, and returns a Vercel preview link for approval.
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Objectives
- 🙋🏻♀️ Build a recruitment site for the USMMA wrestling program
- 🙋🏻♀️ Let stakeholders update the site without contacting a developer
- 🙋🏻♀️ Keep changes safe — preview before going live
- 🙋🏻♀️ Minimize friction with passwordless authentication
Results
- ✅ Live recruitment site serving the USMMA wrestling program
- ✅ Stakeholders update the site by chatting — no code, no tickets
- ✅ Every change creates a PR with a Vercel preview link for approval
- ✅ Magic-link auth — no passwords to remember or reset
Highlights

Chat-to-PR Workflow
Stakeholders describe what they want changed in plain English. The system spins up a temporary Claude Code sandbox, makes the edits, creates a GitHub PR, and returns a Vercel preview link — all within the chat. They review the preview, and if it looks good, the changes go live.
Sandboxed Code Execution
Each edit request spins up an ephemeral Vercel Sandbox — a Firecracker microVM running Claude Code. The AI reads the current site, makes the requested changes, commits to a branch, and pushes. No changes touch production until the stakeholder approves the preview. Safe enough for non-technical users to trigger updates daily.
Magic-Link Authentication
No passwords, no friction. Users enter their email and receive a secure sign-in link (JWT with 15-minute TTL). Sessions persist for 7 days via Upstash Redis. The entire auth flow takes seconds — critical when you want stakeholders to actually use the tool instead of emailing you.
Challenges and Solutions
Mobile Session Reliability
Mobile browsers aggressively kill background connections. I built reconnection logic that detects stale sessions, re-establishes SSE streams, and recovers chat history — so conversations survive phone sleep without losing context.
Making AI Edits Trustworthy
The key insight: never let AI push to production. Every change goes through a PR → preview → approve flow. Stakeholders see exactly what changed before anything goes live. Rate limiting (10 requests/hour) and session management prevent runaway costs.
Beyond the day job
As an assistant wrestling coach at USMMA, I was the bottleneck for every site update. Now the coaching staff can update photos, copy, and layout themselves — just by describing what they want. This is the kind of tool I wish existed everywhere: AI that handles the implementation so domain experts can focus on their actual job.