We make the AI you
already bought work.

I'm Tyler Young — founder of BearDuckHornEmpire LLC, an AI implementation studio for operations-heavy companies between $5M and $100M. Most of them have already spent on AI. The licenses are bought, the pilots ran, and the team is still doing the work by hand. We close that gap: one painful workflow, automated end-to-end and shipped to production.

Before this, I spent years as a senior operations leader at a major online marketplace — running the kind of high-volume, process-heavy operations my clients live in. I've sat in the seat where manual work piles up, which is why I build for the person who has to clear it, not for a slide deck.

MIT's NANDA initiative found that roughly 95% of enterprise GenAI pilots never produce a measurable return. The technology works; the implementation is what's missing — scoping the real workflow, wiring it into the tools you already run, handling the edge cases, and operating it after launch. That unglamorous part is the entire business.

The proof is in production. Everything below was designed, built, and shipped solo — no agency, no subcontractors. The person who scopes your workflow is the person who writes the code.

What I've Shipped

Motus

AI fitness OS for hybrid athletes — live on the App Store. iOS + watchOS, Supabase, HealthKit. Adaptive programming that re-plans the week around recovery.

Iron Passport

SEO-first travel-day gym finder — live at iron-passport.com. Next.js, structured data, and programmatic city pages built to rank for local intent.

ruhrohhalp

An operations system that ingests Gmail, calendar, and voice memos into a pgvector store and runs scheduled jobs — and powers this studio's own pipeline.

Tech Stack

TypeScript, Next.js, React, React Native, Swift, Node.js, Python, Supabase, PostgreSQL, pgvector, Vercel, Claude API, OpenAI API, GitHub Actions, Tailwind CSS.