Small teams at institutional scale. Building production systems with AI as creative medium — not by writing code, but by seeing what needs to exist and willing it into shape.
AI isn't a replacement for humans. It's a lever that lets smart generalists compete with specialists. The intelligence is in the architecture, not just the model.
I didn't start with AI because it was trendy. I started in late 2022 because I couldn't keep doing it the old way — too much drag, too many broken systems, too much friction between what I could see and what I could execute. AI removed the bottleneck.
If I have an advantage, it's only because I put in the time to see what actually works.
Not like engineering. Not like coding. Like an externalization of an intense desire to create and build. The vision exists fully formed — the client opening a dashboard at 7am, the executive who needs to look plugged-in, the intelligence wire that surfaces what matters before anyone else sees it. AI lets me reach in and pull it out.
Most "vibe coders" build toys. I build production intelligence systems for political clients with real money on the line. The collectors run 24/7. The data pipelines handle dedup and scoring. The proxy handles security. But I'm not an engineer. I'm a political strategist who thinks in narratives and client outcomes.
The people who build beautiful things that break — that's vision without execution. The people who build solid things nobody wants to look at — that's execution without vision. The quiet architect does both. Not by learning to code, but by learning to see clearly enough that the tools follow.
Which AI you use matters less than how you orchestrate it. A GPT wrapper is putting a new face on ChatGPT. What I build is plumbing.
Specialized agents with defined roles, working in concert. Not oracles to query. The multiplier effect — each agent makes the others better.
Small ask + tight feedback = high signal. Iteration beats perfection. I think in versions, not one-offs.
Execution is increasingly automatable. Knowing what should exist — and what it should feel like to use — that's the human job. That's always been the human job.
Every system gets documented. Knowledge that isn't captured is knowledge that's lost. Most expertise walks out the door. I build systems to keep it.
When the world tips into noise, go still. Not to escape, but to hold shape. Move with care. Build quietly. Let the work speak.
AI is leverage — not magic. I don't worship the machine. I wield it. Every workflow is about acceleration, scale, and clarity. 90% of AI products are snake oil. Real value comes from systems, not single prompts.
The Metaconcert Model. I don't use one AI tool. I run a coordinated system of specialized agents — each with distinct strengths, working in concert. Creative director, engineer, research analyst, field agent. I'm the conductor.
Compounding what people know — before it disappears. Publications capture findings. They don't capture how someone thinks. The instincts. The pattern recognition. The failed approaches that taught them what not to do. That's the real loss. Not data — judgment.
I've made peace with the tradeoffs. I know the terrain: data leakage, false outputs, weaponized attention, collapsing boundaries. I've internalized the ethical ambiguities.
But I've made a tactical choice: better I master it than be mastered by it.
I'm not a tech bro. No "hustle culture," no breathless hype. I'm not a doomer. I'm not neutral. I'm not performative. I'm not trying to build an audience. I'm trying to build systems. If people find that interesting, great. If not, the work still matters.