AI that does real work — from idea to deployed product.
Three ways I help teams put applied AI to work — each delivered hands-on, outcome-first, and shipped as something real.
AI Agents & Automations
Systems that do real work — autonomous.
- Build custom AI agents and automations that replace repetitive, manual work.
- Design "AI employees" — agentic systems that autonomously handle tasks end to end.
- Work across the modern stack: agentic AI, MCP, and agentic coding with Claude Code.
AI MVPs & Integration
From concept to deployed product.
- Develop AI MVPs from idea to a working, deployed product — fast.
- Automate business workflows with n8n agents and integrations.
- Integrate AI into existing systems through MCP servers and APIs.
How we'll work
Idea to deployed, in four steps
01
Scope
We pin down the outcome, the constraints, and what "done" actually means.
02
Prototype
A working slice fast — real prompts, real tools, real data, not slideware.
03
Build
Hardened agents, policy layers, integrations and tests — built to run unattended.
04
Ship
Deployed to production, handed over, and ready to do real work.