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AI in Human Work – Abilities, Applications, and Value Creation

Lesson 4: The AI Value Test – Time, Quality, Risk, and Reuse

Lesson Objectives

By the end of this lesson, students should be able to:

  • Evaluate AI workflows using the time, quality, risk, and reuse value test.
  • Identify fake productivity and hidden review cost.
  • Measure and describe the real benefit of an AI workflow with evidence.

Lesson Content

A workflow is valuable when it improves at least one of four outcomes:

  • Time: faster first draft, faster research triage, faster quality checks, faster planning, faster documentation.
  • Quality: better structure, more complete review, clearer writing, stronger examples, better options.
  • Risk: fewer missed requirements, better verification, clearer approval gates, safer data handling.
  • Reuse: templates, checklists, prompt libraries, SOPs, rubrics, reusable code, repeatable decision memos.

The trap is fake productivity. If AI creates a draft in two minutes but review takes an hour because the draft is vague, wrong, or unusable, the workflow did not save time. Reduce rework with better context, clearer constraints, examples, staged prompting, test cases, and quality rubrics.

Describe benefits with evidence. Instead of "AI saves me hours," write something you can show: "I turn raw meeting notes into a one-page decision brief and action list in about 15 minutes; it used to take 45." Evidence makes the case to a manager, a client, or yourself.

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