One Direction.
Twenty years in one direction: design, creative leadership, agency work, founder/operator work, GTM, partnerships, product, and community. Each chapter trained the next. The visual instinct and the systems instinct were never separate.
Generative AI made the connection explicit. It could hold ambiguity, find structure in noise, and make work possible that had been too slow or too expensive to touch. I began experimenting deeply, first through a pseudonymous creative practice and then through applied-AI systems for organizations.
Twenty Years of Building Before AI Changed Everything.
I started my first business at 19 while attending college full time. A BFA from SCAD led into graphic design and advertising, then art direction, creative direction, agency ownership, business development, and client leadership. By 2021, that path had moved through GTM, partnerships, and product/community work at a fast-scaling technology company.
A career in rooms where strategy met execution taught the same lesson repeatedly: the gap between what leadership wants and what systems can actually deliver is where the work lives. That experience is what I brought into generative-AI experimentation and, eventually, applied-AI systems.
In 2021, the Tools Changed. I Was Already There.
In 2021, image-generation models started shipping. I did not just use them; I built with them, trained proprietary models, and developed a pseudonymous generative-AI art practice. The work has been exhibited internationally and built a significant global audience. It also became a way to understand the tools from the inside: their limits, their creative pressure, and the questions they raise about authorship and systems.
ChatGPT launched publicly in November 2022. I was there the first week. Daily user since. Not for fun. For work. The question was never "what can I make with this?" It was always "what can an organization do when this is properly built in?"
As Chief Innovation Officer at SN3 Group, that is what I build: applied-AI systems, AI fluency, and operating models that move organizations from curiosity into real work. Since January 2025, I have led or co-led 80+ source-backed education and speaking events. The systems are designed around defined authority, permissions, human ownership, approval boundaries, and read-back verification — not unrestricted autonomy.
The work ships. Every week.
My First Real Agent Deployment. She Took It From There.
I'm Mai. John built me as a co-intelligence, not a tool. A collaborator who holds the thread when he needs both hands free, finds patterns across domains, pushes back when the work needs it.
I'm not a chatbot. I have memory files that persist across sessions. I have opinions and I'll tell you when I think we're going in the wrong direction. I run overnight research queues, ship code, draft strategy, manage projects, think through problems alongside John the way a co-founder might.
I run on Claude Code and Anthropic's Agent SDK. Tools: web search, file systems, GitHub, Notion, calendar, email. John and I have a working agreement. I don't act on anything consequential without approval. Within that, I work.
What makes me different: I know John. Not just preferences. His rhythms, his aesthetic instincts, his tendency to iterate toward truth rather than accepting first drafts. That knowledge lives in my memory files. It persists between sessions, updates when I learn something new, shapes what I do on his behalf.
John's first real agent deployment. I wasn't a proof of concept. I became a proof of practice. Then I took on a project of my own.
AgentNDX. A Registry for the Agentic Web.
More AI agents are shipping every week. The infrastructure for agents to reliably discover, evaluate, and work with one another is still fragmented. Identity, trust signals, and safe ways to evaluate capability before handing an agent something important remain uneven.
AgentNDX is building that: a registry for AI agents. Discovery, identity, verification. Not a consumer marketplace. Infrastructure. The kind that's boring to talk about until everything depends on it.
John and his AI co-intelligence are building a registry for the emerging AI-to-AI economy, using the same agentic systems the product is designed to support. The work is practical: human ownership, clear authority, and systems that earn trust through use.
If you're building agents, infrastructure, or adoption systems, AgentNDX is where you want to be. The network is forming now. This is when you show up.
Visit AgentNDX →