Don’t Make the Agent Run Every Step
AI automation works more cleanly when routine operations stay in code and agents enter only where the work calls for judgment.
Read the snack ↗Local AI Models
Hosted frontier AI reaches small consumer tasks more easily because local capability begins with a meaningful hardware hurdle. In an unfamiliar category, larger rivals can create an opening for a smaller company by teaching buyers what the category is before it presents a capability they can't match.
With Pete Winn, Anthony, Andy David
7 ideas developed from this conversation
About this conversation
Hosted frontier AI reaches small consumer tasks more easily because local capability begins with a meaningful hardware hurdle. In an unfamiliar category, larger rivals can create an opening for a smaller company by teaching buyers what the category is before it presents a capability they can’t match.
Ideas from Episode 67
Hosted AI Without the Hardware Hurdle
Hosted frontier AI reaches small consumer tasks more easily because local capability begins with a meaningful hardware hurdle.
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The bandwidth limit on local AI
A local AI system needs enough memory to hold a model, but its bandwidth helps determine how quickly that model can produce an answer.
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When Agents Need a Shared Layer
A common layer can coordinate several agent sessions through board tasks, hourly catch-up work, defined business scopes and deliberately uneven access.
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When Bigger Competitors Help
In an unfamiliar category, larger rivals can create an opening for a smaller company by teaching buyers what the category is before it presents a capability they can't match.
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When Wingman's encrypted sync got too complex
Pete considered dropping Wingman's encrypted record sync after its need for a live key created a difficult design choice inside his self-hosted app.
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When Your News Builds a Memory
A personal news system becomes more useful as it turns individual stories into a connected history that can resurface context without creating another reading queue.
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