Public episode library
MAYAYAI Episodes
Public episodes for founders, operators, researchers, and AI agents studying startup judgment, evidence, uncertainty, customer learning, and strategic action.
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1How to Make a Big Founder Decision When the Data Is Incomplete
More information is not automatically better. This episode turns "How to Make a Big Founder Decision When the Data Is Incomplete" into observable signals, missing evidence, and one small next test.
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2What AI Should Never Decide for a Founder
The point of asking about AI decision boundaries is not reflection. This episode turns "What AI Should Never Decide for a Founder" into observable signals, missing evidence, and one small next test.
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3Should You Pivot or Persist? A Founder's Decision Framework
A fork like pivot-versus-persist decisions becomes dangerous when both paths have a convincing story. This episode turns "Should You Pivot or Persist? A Founder's Decision Framework" into observable signals, missing evidence, and one small next test.
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4How to Know If You Actually Have Product-Market Fit
Treat product-market fit evidence as a repeatable decision method, not inspiration. This episode turns "How to Know If You Actually Have Product-Market Fit" into observable signals, missing evidence, and one small next test.
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5Why Smart Founders Keep Ignoring Bad News
Bad-news avoidance matters because smart teams often fail through reasonable-looking explanations. This episode turns "Why Smart Founders Keep Ignoring Bad News" into observable signals, missing evidence, and one small next test.
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6Why Smart Founders Make Dumb Decisions
A contrarian reading of smart founders make dumb decisions starts by asking what the visible story is hiding. This episode turns "Why Smart Founders Make Dumb Decisions" into observable signals, missing evidence, and one small next test.
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7How to Listen to Customers Without Building Everything They Ask For
A useful framework for working through listen customers without should make the decision smaller, clearer, and easier to test. This episode turns "How to Listen to Customers Without Building Everything They Ask For" into observable signals, missing evidence, and one small next test.