Built 6 production-ready AI projects — 5 PM workflow tools and a fully automated content pipeline. Designed with Claude, built with Claude Code, deployed on Vercel and GitHub Pages. From zero to live without context-switching.
I'm a Product Manager with 10+ years building platforms at the intersection of sports, gaming, and consumer technology. I specialize in translating complex technical requirements into products that drive real business outcomes—from GTM execution to operational scaling.
Most recently, I led the platform powering Topps Digital's sports collectibles apps, generating $30M+ in revenue. I built the core systems enabling digital card authentication, vaulting workflows, and real-time sports data integration—creating internal dashboards and automated workflows that enabled operations teams to manage thousands of daily transactions at scale.
These tools you see here represent my approach: identify real problems, leverage AI intelligently, and ship working products fast. Each was built using Claude for design, Claude Code for development, and deployed on modern serverless infrastructure.
Built and shipped in the last 30 days.
Click any tool to try it live
Generate comprehensive activation briefs for gaming sponsorships and esports partnerships. Input brand objectives, get a structured brief ready for stakeholder review.
Transform event notes into polished business development emails. Perfect for following up after conferences, activations, and partner meetings with personalized outreach.
Convert raw developer patch notes into player-friendly community posts and Twitter threads. Built for live service games and digital products with frequent updates.
Create comprehensive creator briefs with deliverable checklists and talking points. Supports TikTok, Instagram, YouTube, and Twitch creators with platform-specific guidance.
Prioritize your product backlog using RICE, ICE, or MoSCoW frameworks. Get a scored, ranked list with an exec-ready summary for stakeholder alignment.
1,095 short-form catechism videos across TikTok, YouTube, Instagram, and X — built with a fully automated Python pipeline. ElevenLabs for voiceover, Fal.ai for visuals, Publer for scheduling. 3 posts/day, 365 days, zero manual publishing.
Modern AI-native development stack
This is what AI-native development looks like in practice: describe the problem, design the solution, ship it — all in one flow. No boilerplate setup. No context-switching between tools. Each of these projects went from idea to live URL in a single session. The Magisterium adds a full content automation pipeline — Python orchestration, multi-API integration, and scheduled cross-platform publishing at scale.