Should AI Do the Task or Should a Human? A Practical Decision Framework
Use consequence, testability, context, reversibility and judgment to decide whether AI should do a task, assist a human, or stay out of the critical decision.
Read experimentThese are the experiments where AI meets work outside the chat window. Construction, business research, synthesis, and action planning reveal what changes when the output must survive real-world constraints.
We used AI to compare local businesses using current public evidence. Its strongest skill was turning scattered observations into testable marketing hypotheses.
Read the starting experimentUse consequence, testability, context, reversibility and judgment to decide whether AI should do a task, assist a human, or stay out of the critical decision.
Read experimentAI can turn scattered research into priorities and tests. The strongest plans keep evidence, uncertainty and measurement attached to each recommendation.
Read experimentAfter using AI for writing, coding, images, research and long projects, these are the jobs where it consistently helped us most.
Read experimentAI can help write building instructions, but buildability requires dimensions, materials, structure, fasteners and assembly steps to reconcile.
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