Decision Models Could Make Coding Agents Cheaper
Agent harnesses could reserve frontier models for substantive reasoning while cheaper decision models handle routine navigation, routing and tool selection.
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A new AI model can combine genuine improvement with a flattering comparison against an older model that seemed to deteriorate over time. Jev proved most useful when it ranked a steady stream of varied SEO signals for deeper analysis, rather than adding another scoring layer to a low-volume workflow.
With Pete Winn and Andy David
7 ideas developed from this conversation
About this conversation
A new AI model can combine genuine improvement with a flattering comparison against an older model that seemed to deteriorate over time. Jev proved most useful when it ranked a steady stream of varied SEO signals for deeper analysis, rather than adding another scoring layer to a low-volume workflow.
Ideas from Episode 73
Decision Models Keep Software Workflows Deterministic
Fast, structured model judgements can handle uncertain decision points while ordinary code remains in control of the wider automation.
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Decision Models Prioritise Mixed SEO Signals
Jev proved most useful when it ranked a steady stream of varied SEO signals for deeper analysis, rather than adding another scoring layer to a low-volume workflow.
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Email Agents Can Preserve Communication Overload
Automating both ends of email can save individual effort while leaving the medium’s organisational burden intact.
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Lower Baselines Magnify AI Model Breakthroughs
A new AI model can combine genuine improvement with a flattering comparison against an older model that seemed to deteriorate over time.
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Near-Free Decision Models Cut Workflow Costs
Fast, specialised models can make sorting, routing and checking cheap enough to place throughout automated workflows.
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Personal Agents Could Undercut Consumer Inertia
Persistent personal agents could weaken businesses that profit when customers postpone the work of finding a better deal.
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