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Keeping Up With AI Tools Without Chasing Everything Print

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A sustainable approach.

THE PROBLEM

New tools appear constantly. Evaluating each consumes time that produces nothing.

WHAT ACTUALLY CHANGES SLOWLY

The fundamental capabilities and limitations How to prompt well Where verification is needed

Learning those transfers across tools.

WHAT CHANGES QUICKLY

Specific products Interfaces Pricing

WHAT TO DO

Learn one tool well Review annually, not continuously Change only when something you need is missing

WHEN TO PAY ATTENTION

A capability that did not exist becoming available Your current tool failing at something you need A significant price change

WHAT TO IGNORE

Benchmark announcements Claims of being the most advanced Tools solving problems you do not have

THE HONEST ASSESSMENT

Most people would benefit more from using their current tool better than from switching.

Prompting skill transfers. Tool familiarity does not.


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