One signal

Adaptive6 co-founder and CTO Omer Müller argues that teams should use AI for tasks involving unstructured information or decisions that genuinely change with context, and rely on ordinary code for predictable, rule-based work.

Müller says asking AI to run routine processes can make systems more expensive, slower and less predictable. His practical distinction: let code handle the repeatable steps, and call a model when the work needs interpretation or judgement. A useful architecture rule from someone building AI products, though it is an opinion piece, not a comparative performance study.

Discuss: When does a workflow genuinely need an AI agent, rather than a conventional script with a model called only for the bits that need judgement?

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