Automation Leaves Humans the Hard Decisions
As AI absorbs routine work, people inherit a smaller stream of unresolved decisions that demands sharper attention and clearer presentation.
Read the snack ↗The AI Industry is Wrong
Agents are useful for finding a path through unfamiliar work, but repeatable execution belongs in a bounded workflow. Reliable AI workflows keep known operations in ordinary code and call an agent only when flexible judgement is genuinely useful.
With Pete Winn, Paul Itoi and Andy David
7 ideas developed from this conversation
About this conversation
Agents are useful for finding a path through unfamiliar work, but repeatable execution belongs in a bounded workflow. Reliable AI workflows keep known operations in ordinary code and call an agent only when flexible judgement is genuinely useful.
Ideas from Episode 71
Breaking Expert Work Into Repeatable Steps
Complex expertise becomes easier to execute consistently when it is divided into small decisions that people, models and tools can handle separately.
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How Agents Create Information Markets
Machine customers can turn reusable information into a market by comparing the price of an existing artifact with the cost of creating it again.
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Turn Agent Discoveries Into Repeatable Workflows
Agents are useful for finding a path through unfamiliar work, but repeatable execution belongs in a bounded workflow.
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Turn Agent Workflows Into Cheaper Software
Agents create lasting value when the processes they discover are captured as reusable software that runs reliably at a fraction of the original cost.
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Use Agents Only for Uncertain Work
Reliable AI workflows keep known operations in ordinary code and call an agent only when flexible judgement is genuinely useful.
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Why AI Accuracy Isn’t Business Reliability
A polished AI answer can create more risk than value when a business needs work it can safely rely on.
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