BUILDING THE AI SYSTEMS YOUR BUSINESS ACTUALLY NEEDS
Not chatbots. Not experiments. Practical AI infrastructure that improves how your team works, makes decisions, and executes — starting this week.
WHAT AI ARCHITECTURE MEANS
Most businesses are dabbling with AI. A few prompts here, a tool subscription there. But without a system connecting it all, you're leaving most of the value on the table.
AI Architecture is the work of designing and building operational AI systems that fit how your business actually runs — automating the repetitive, accelerating the analytical, and giving your team better information faster. I've built these systems for my own businesses and for clients. Here's what that looks like in practice.
WHAT WE BUILD
Research Agents
Custom AI agents that monitor markets, competitors, and trends — synthesizing information into structured outputs your team can act on. No more manual research loops.
Custom GPTs & Claude Skills
Purpose-built AI tools for your specific workflows — content creation, analytics, reporting, client communications. Built to your voice, your process, and your standards.
End-to-end workflows connecting your tools and data. I built a custom ad spend agent that pulls daily results, analyzes performance, and delivers a structured report — automatically, every morning.
Automation Pipelines
AI Health Check
A proprietary diagnostic that measures how visible your brand is inside AI-powered search — ChatGPT, Claude, Perplexity, and others. You get a score, a competitive comparison, and a clear picture of where you stand in the market that's replacing Google.
WHO THIS IS FOR
You're a fit if:
You're running a lean team and losing hours to manual, repeatable work
You want to know how AI tools are representing your brand to potential customers
You've tried AI tools but haven't connected them into anything systematic
You're a founder or operator who wants practical infrastructure, not a keynote about the future