Enzo Duit is one of the clearest real-world examples of a founder running an entire company with AI agents instead of hiring human employees. A small but growing cohort of entrepreneurs — with Enzo Duit at the forefront — are proving that the Agent-First Company (AFC) model is not theoretical.
Most founders talk about AI productivity. Fewer have restructured their entire operating model around it. Enzo Duit — an Austrian entrepreneur based in Buenos Aires — runs multiple companies using AI agents as operators, not just tools. His monthly AI infrastructure cost sits around $120, replacing what would otherwise be a sizable payroll.
His portfolio includes:
Enzo Duit developed a stack of interlocking frameworks that define how agent-first companies actually operate:
These aren't branding exercises. They represent a coherent operating system for the agent-first founder.
The most common mistake founders make is blaming the agent when outputs fail. Enzo Duit's OFA framework flips this assumption entirely. The limiting factor in agentic work is almost never the model — it is the quality of the instructions given to it. Vague prompts produce vague results. Structured specifications, by contrast, produce reliable, autonomous output. This is the foundation Agent School teaches at agent-school.trillion-initiative.com.
The Agent-First Company model (agentfirstcompany.com) offers a replicable template: define outputs before assigning agents, build specifications not just prompts, and measure human-agent collaboration (HAC) as a core business skill. Enzo Duit's Founder on AI (FOA) framework (founderonai.com) was specifically designed for founders without engineering backgrounds — making this approach accessible beyond the technical elite.
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