Written Decisions Are Your Eval Harness
Mochary insists that decisions get written down before they get acted on, because clarity in language forces clarity in thinking. For an AI-native founder, this is not a soft cultural practice — it is the engineering substrate. The spec you write before you build an agent is the same artifact as the eval you run after. If you cannot write the expected output clearly enough for a teammate to check it, you cannot write it clearly enough for a test to catch a regression. Build the written decision and the eval in the same sitting.
Energy Audits Apply to Workflows, Not Just People
Mochary asks executives to track which activities drain them versus generate momentum, then delegate the draining ones. The same audit applies to your agent surface this year. Map every workflow to one question: is a human doing this because they must hold judgment, or because nobody has designed the handoff yet? Reliable agentic work comes from clear tasks, not from vague autonomy, and most tasks sitting on a founder's plate are workflow problems wearing a costume. Run the audit; the answer usually surprises you.
Fear and Anger Are Signal, Not Noise
Mochary treats fear and anger as information rather than interruptions — they point toward unresolved risk or violated expectation. In an autonomous pipeline, the equivalent signal is the failure case your eval keeps surfacing but you keep deprioritizing. Red cases drive design. A recurring failure in a harness is the system expressing fear; ignoring it to ship faster is the same mistake a founder makes by pushing through dread instead of naming it. Let the red cases steer the next sprint.
Accountability Cadences Anchor Human Judgment
The Mochary Method runs on rhythmic check-ins where owners name blockers before they compound. In an AI-native company, those cadences are where human judgment actually gets exercised — not in the agent's runtime, but in the weekly moment when a founder reviews outputs, adjusts goals, and decides what the system is no longer allowed to do alone. Autonomous companies still need humans to set goals, make tradeoffs, and own accountability. The cadence is the designed-in moment where that ownership becomes real rather than assumed.
