Written Decisions Are Specs, Not Minutes
Mochary insists that decisions get written down before meetings, not summarized after them. For a founder shipping with agents, this discipline becomes structural necessity. The written decision is the spec the workflow runs on. Vague verbal alignment produces vague agent behavior; a clearly stated outcome with defined constraints is exactly the context an agent needs and nothing it doesn't. The skill Mochary trains in humans — precision before action — is the same skill that keeps agentic tasks from drifting into expensive hallucination.
Fear and Anger Are Diagnostic Signals
Mochary treats fear and anger not as noise to suppress but as information pointing at real problems in the system. A founder running autonomous workflows should apply the same discipline. When a process repeatedly fails, or when a human reviewer keeps overriding an agent's output, that friction is a signal — not a personnel problem and not a model problem by default. It points at a broken tool surface, a missing eval, or a context gap. Emotional honesty in the human layer surfaces the exact red cases that should drive evaluation harness design.
Accountability Cadences Create the Feedback Loop
The Mochary Method runs on regular, structured check-ins where owners name what they committed to and what actually happened. In an agentic company, this cadence is how the human judgment layer stays connected to what agents are producing at scale. Without it, drift is invisible. The check-in is the moment a founder asks not just whether the task completed but whether the outcome matched the intent — which is precisely the gap that evals measure in production. Cadence and eval harness are the same idea expressed in two registers, one human and one technical.
Issue Resolution Keeps the System Honest
Mochary's issue-resolution protocol demands that problems get named clearly, owned explicitly, and closed rather than recycled. For a founder designing an AI-native company, this is system hygiene. An unresolved issue in a human team becomes an unexamined assumption baked into a workflow. Ambiguity that survives the operating meeting survives into the agent's context window, where it compounds quietly. The discipline of clean closure — who owns it, what done looks like, when it will be checked — is the same discipline that separates a trustworthy workflow from one that occasionally works.
