Every project needs its own API keys, provider setup, usage limits, config. Testing AI features is annoying. Deploying them is worse. I built the infrastructure to solve exactly that — for myself first, now for you.
I kept building apps with LLM features baked in. Every project needed its own API keys, its own provider SDK, its own usage limits and config. Testing AI features across projects was a constant slog.
So I built the infrastructure to fix it — for myself. One gateway, one auth layer, one place to swap models. Now every app I ship routes through that single surface. Switching from Claude to GPT is one env var. Testing a new model takes 30 seconds. Usage is tracked in one place.
That infrastructure is what I bring to clients. Not slide decks. Not roadmaps. Working systems.
I'm not a consultant who learned AI from a course. I'm a solo builder who has been shipping production AI systems since the Code Davinci era. Everything I offer, I built and run myself first.
The LLM gateway I'll deploy for you? I run it on my own VPS, routing every app I own through it. The self-hosting migration? I just did it today — moved three apps off Vercel and Convex cloud in one afternoon. The agent pipeline? It's how I run my own workflow automation.
You're not getting theory. You're getting the exact infrastructure I trust with my own work.
Tell me what you're building. I'll tell you what I'd do with it. No obligation, no sales pitch — just a straight answer from someone who's already solved the problem.