My platform, my AI workflow, and real delivery numbers — how projects go from idea to production.
I've been building web applications for 5 years. I run my own platform end-to-end — 10 apps sharing 10 internal packages — covering my portfolio, agency site, admin panel, CMS, and API. Every client project is built the same way, on the same foundation. Here's exactly how.
Instead of telling you my code is clean, here's what I actually operate: one codebase powering 10 applications — this site, my agency site, an internal admin panel, a self-hosted CMS, an API, and a ready-to-deploy client template — built on 10 shared packages for authentication, UI, database, email, and payments.
When your project starts, it starts on this foundation — not from zero. That's why the first version ships in weeks, not months.
Everything is built from small, reusable components on a fully type-safe stack (Next.js, TypeScript, tRPC). In plain terms: bugs get caught before your users ever see them, and changes stay fast and safe as the product grows.
I use AI every single day, and I'm specific about how — because "AI-assisted" can mean anything.
My daily driver is Claude Code, running the latest Claude models (currently Fable 5 and Opus). But the tool isn't the point — the workflow is:
I've also built my own AI setup: custom commands, per-project convention files, and persistent memory — so the AI works to my standards, not its defaults.
What this means for you: the speed of AI with the judgment of a senior developer. "Isn't AI code sloppy?" It is — when nobody's steering. Steering is my job.
Real timelines from real projects:
And measured, not claimed: this site scores 99/100 performance and 100/100 best practices on Google Lighthouse (desktop) — you can run the test yourself.
If you're building a SaaS, a dashboard, or a modern website, this is exactly how your project would run.