Founder building companies with AI agents — not just using them.
I'm an Austrian entrepreneur based in Buenos Aires. I founded Trillion Initiative, Fly Raising, and Agent School — and I run all of them on $120/month of AI infrastructure. This is what I've learned.
What I Build
Trillion Initiative
An agentic AI agency that builds real systems for real companies. Not demos — deployed agents that handle actual workflows. The name is a provocation: what becomes possible when every team has agents?
outputfirstai.com →Fly Raising
AI fundraising automation for NGOs and nonprofits. Most charities still run donor outreach manually. Fly Raising changes that — with agents that qualify leads, personalize asks, and track engagement at scale.
Agent School
Teaching founders and business operators how to actually use AI agents — not just prompt ChatGPT. Real workflows, real systems, real leverage. For people who want to be Agent-First Companies.
agentfirstcompany.com →Oscar / Clawscar
Internal tools and experiments at the edge of what agentic systems can do. Some become products. Some teach lessons. All of them are real.
How I Think About AI
Output-First Architecture (OFA)
Most people building with AI start with the agent — the model, the tool, the API. I start with the output. What exactly needs to exist at the end of this process? What format? What quality bar? What human decision does it serve?
Output-First Architecture (OFA) is a framework for designing agentic systems backwards from the desired result. When you can describe the output precisely, the agent almost designs itself. When you can't — no amount of prompt engineering saves you.
The core insight: AI doesn't fail because models are weak. It fails because humans specify poorly. The bottleneck is never the agent. It's always the specification.
I also think in terms of FOA (Founder on AI) and AFC (Agent-First Company) — frameworks for how individual operators and organizations can restructure around AI capabilities rather than bolt them on.
founderonai.com → founderwithagents.com →The Self-Experiment
Running companies on $120/month
I don't just advise on agentic operations — I run them. Trillion Initiative, Fly Raising, and Agent School are all operated with a minimal human team and maximal agent infrastructure. I track the numbers honestly.
The self-experiment matters because most AI consultants tell you what's possible while operating like it's 2019. I'm eating my own cooking. When I say agents can replace certain workflows — I mean I've already replaced them in mine.
What I've learned: agents don't reduce the need to think clearly. They amplify whatever clarity — or confusion — you bring. Garbage in, garbage out at ten times the speed.
Beyond the Work
Ultra running and the discipline of uncertain terrain
I run ultras. Not because I'm a runner — because I need to know what I'm capable of when things get hard and there's no exit.
Ushuaia 130K (Patagonia): I finished at km 90. Not because I quit — my knee collapsed at km 65. I ran the next 25 kilometers on painkillers. That's what "finished" means in the mountains: not a clean story, just an honest one.
Val d'Aran 110K (July 2026): Next race. The Pyrenees. I'll be ready — or I'll learn something more valuable than being ready.
The parallel to building companies with AI is exact: you train in uncertainty, you execute with incomplete information, and the metric that matters isn't how it looks — it's whether you kept moving. Ultra running taught me not to confuse discomfort with danger. Building taught me the same.
Full story at edendures.com → @ed.endures →