Build the mental model: write a bounded prompt

The durable idea for Your AI learning map is a portable mental model, demonstrated here through write a bounded prompt in a six-week career-change plan. Casey Ortiz rebuilds the idea as a map: inputs that can be named, an operation that can be described without magic verbs, outputs someone will act on, and a human who remains responsible. If a box is empty, the model is incomplete—even when a vendor slide looks finished—especially while the standing case (build a learning path around decisions Casey must make, not every shiny tool) is unresolved.

During a real interruption at a six-week career-change plan, Casey Ortiz stress-tests “Skills as verbs on sticky notes” on write a bounded prompt: one queued question, one hurried call, one hallway challenge. If the idea only works in a quiet workshop, it will not survive the standing case (build a learning path around decisions Casey must make, not every shiny tool).

write a bounded prompt is a good teacher because it forces mechanism talk. Replace flattering verbs with measurable ones. Then ask what the mechanism is not: not a moral agent, not a witness with memory of your intentions, not a substitute for policy. Those negations protect Casey Ortiz from treating fluency as understanding while still allowing useful adoption at a six-week career-change plan.

Count something crude about write a bounded prompt—misses last week, minutes lost, or people affected—and write the number beside verify a claim. Casey Ortiz needs that comparison before anyone at a six-week career-change plan declares victory on the standing case (build a learning path around decisions Casey must make, not every shiny tool).

Bring verify a claim into the same map. The point is not that one is “real AI” and the other is not; it is that boundaries and consequences differ. Capability is a relationship among system, task, population, and conditions. the standing case (build a learning path around decisions Casey must make, not every shiny tool) only makes sense once that relationship is explicit for write a bounded prompt.

On “Verification as a peer skill”, Casey Ortiz edits language about write a bounded prompt the way an editor would: strike “sentient,” “infallible,” and “just a tool” wherever they hide responsibility inside a six-week career-change plan. verify a claim stays nearby as a plain-language control.

End the core-idea page with a sentence Casey Ortiz could teach a newcomer at a six-week career-change plan without slides. If the sentence still works after swapping in verify a claim, it may be too generic; revise until write a bounded prompt leaves fingerprints on the wording and still serves the standing case (build a learning path around decisions Casey must make, not every shiny tool).

For “Drafting the six-week skeleton”, a second person at a six-week career-change plan challenges Casey Ortiz’s note on write a bounded prompt and asks whether verify a claim already solves most of the need with less mystery. That challenge is part of finishing the standing case (build a learning path around decisions Casey must make, not every shiny tool), not a delay tactic.