BUILD ONE FOR YOUR BUSINESS, OR GET ONE FOR YOURSELF
AI Agents & Assistants.
Two angles. One practice.
There are two ways into this work, and they share the same underlying craft. The first is the B2B side, where I build autonomous agents into client businesses that handle real operational work, with memory, judgment, escalation paths, and human-in-the-loop guardrails. The second is the personal side, where I sell access to the AI assistant I use every day, or invite you into the community building one of your own.
Most AI tools are wrappers around a chat interface. They answer questions, generate text, help you think. That's useful. It's not the same as an agent that actually does work: watches for a trigger, makes a decision, calls an API, updates a record, escalates when it hits something it shouldn't handle alone. The difference between a chatbot and an agent is the difference between a consultant who gives advice and one who executes on it.
The agents I build for businesses are scoped, tested, and production-deployed. They come with defined handoff points, audit trails, and clear escalation logic. I don't build agents that operate without a human in the loop for anything consequential. What I build is the layer that removes the repetitive, high-volume, low-judgment work so your team's judgment is applied where it actually matters.
Typical builds include intake and qualification agents, content pipeline agents, operations agents that manage scheduling and follow-up, and research agents that surface information on a trigger. The right agent for your business depends on where your workflow has the most drag. That's the conversation to have first.
The AI assistant I use every day is not a stock Claude or ChatGPT interface. It's a system: 90-plus specialized agents, a hook architecture that enforces process, memory that persists across sessions, skills that route to the right specialist automatically. Three years of iterating on what actually makes an AI useful as a daily operating system rather than a query-answering tool.
I'm building two ways into this. The first is a product: access to a version of the system I run, configured for your goals, documented so you can actually use it. The second is a community for people who want to build their own version, with support, shared patterns, and the accumulated lessons from doing this longer than most. Both are designed for the person who knows AI should be more useful than it currently is for them and wants to close that gap.
Neither is available as an off-the-shelf purchase yet. The product is in active development. The community is being built. If you want early access to either, the fastest path is getting in touch now so you're first in when they open.
PRODUCT · COMMUNITY IN DEVELOPMENT
FOR INDIVIDUALS
A personal AI that's actually personal.
WHY BOTH
The same craft at two scales.
The work I do for businesses and the product I'm building for individuals are the same thing at different scales. Organizational agent builds and personal AI systems both require the same underlying skills: prompt architecture, memory design, tool routing, escalation logic, and the judgment to know when an agent should stop and ask rather than decide. I happen to have built both for myself before I started building either for others.
That's the differentiator. Most people selling AI agents have vendor certifications and a deck. I have a production system I've been running and iterating on since 2023, and I built it specifically because I needed a personal AI that was actually useful, not impressive in a demo. The business work and the personal product both came out of that same need.
PICK YOUR ANGLE
Two doors, one builder.
If this is for your business, the fastest path is a conversation about what work you would like an agent to actually own. If this is for you personally, the fastest path is the same conversation, just pointed at your own workflow.