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The Observatory

Foundations · 2 min read

When Your Cofounder Is Partly an Agent

The earliest people decisions a founder makes are the hardest to undo — and in an AI-native company, "people" now includes the agents you build around.

Featuring · studied & reframed for AI-native builders“The Founder’s Dilemmas” — Noam Wasserman ↗

The Rich-vs-King Problem Has a New Dimension

Noam Wasserman's research in The Founder's Dilemmas shows that founders consistently underestimate how early equity and control decisions lock in the company's direction. The same principle now extends to architecture. When you decide which decisions belong to agents and which belong to humans, you are making a control allocation that compounds. Giving an agent broad, unsupervised authority early is the architectural equivalent of handing away control before you know what the company actually needs to become.

Equal Equity Traps and Undefined Roles

Wasserman documents how cofounder teams that split equity equally without defining distinct roles tend to fracture under pressure, because no one owns a decision when it gets hard. AI-native founding teams face the same trap at the workflow level. If every agent has roughly the same scope and no human owns accountability for any specific output, the organization has no defined place for a hard call to land. The loop needs a named human at the judgment step, not a shared assumption that someone will catch the problem.

The Least Reversible Choices Come First

In Wasserman's data, the hiring and equity decisions made in the first months outlast almost every strategy pivot. For AI-native founders, the analogous irreversible choices are data models, eval criteria, and the boundary conditions that tell agents when to stop and ask. These are not configuration details. They are constitutional choices about where machine action ends and human accountability begins. Getting them wrong early means retrofitting trust into a system that was never designed to carry it.

Cofounder Splits and the Orchestration Layer

Wasserman finds that cofounder relationships break most often not from bad intentions but from misaligned assumptions about who decides what. An AI-native company needs the same clarity applied to its orchestration layer. Founders who treat agents as autonomous collaborators without defined tasks, scoped permissions, and feedback loops are recreating the classic cofounder ambiguity problem in software. The fix is the same in both cases: explicit, written agreements about who owns each class of decision, reviewed regularly as the company learns.

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