AI educators

AI education competes with an enormous amount of free material, and the only durable position is specificity. General explainers are commodities produced by vendors, publications and enthusiasts at no cost. Knowing how a specific profession should use these tools — which tasks to trust them with, which to keep manual, what the compliance position is — is a much smaller supply, and professional audiences pay for it because getting it wrong has consequences.

Worked examples are what carries the price, because they are the part that cannot be generated on request. A playbook that shows the actual inputs, prompts and outputs for a real task in someone's job is directly transferable; a description of the approach is not. Recording the walkthrough also raises the price materially, since the reasoning is often the missing piece.

The unavoidable problem is shelf life. Tool capabilities change quickly enough that material is a snapshot, and buyers increasingly know this. Dating the material, naming the tools and versions it was tested against, and maintaining the files for existing buyers is a better promise than permanence — and a retested edition is a legitimate next product rather than an admission the first one aged.