Durable AI skills: decomposition, verification, taste
If the model you use today is replaced in six months, what is left of the AI skill you built? The position here is blunt: prompt tricks tied to a specific model, like telling GPT-4 it is an expert, are quirks vendors patch out on purpose, and tool certifications age faster than the tools. Anthropic's Claude interface barely resembles its version 18 months earlier.
You walk away with three transferable skills and a way to practice them: problem decomposition, turning "increase retention" into ordered executable steps; verification literacy, treating every output as a claim, as the sanctioned…
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