Claude Academy
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Tying it all together

Lesson 920 min
In this lessonBy the end, you’ll be able to
  • Apply all four Ds in a single real workflow
  • Navigate between loops dynamically
  • Own the full process

Tying it all together

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Tying it all together · 8 min

SummaryTranscript

This video walks through a complete end-to-end 4D workflow on a real teaching task, showing how Delegation, Description, Discernment, and Diligence play out dynamically in practice, adjusting and course-correcting the way real work actually does. You'll see what it looks like when an educator stays in the driver's seat, deciding what AI touches, shaping how it responds, evaluating what comes back, and taking full ownership of the final output. By the end, the four Ds won't feel like a framework you're following. They'll feel like how you work.

Key takeaways

  • The full 4D workflow can be applied to the work you do every day.
  • You belong in the loop. The work isn't "done" when the AI finishes.
  • The skill you build here is owning the process, not the output.
  • The 4Ds become invisible when they're used well.

Exercises

End-to-end 4D workflow

You've practiced each of the four Ds separately. Now put them together on a real task from your own work. The goal: a completed, usable output you own, and a record of how you got there.

Part I: Choose your task (in your own notes)

Pick a substantive, real task from your own work—due in the next week or two—that AI might genuinely help with. Before you start, note what "done" looks like, which parts AI can help with and which stay yours, and confirm you've stripped any student, staff, or personnel data and picked an appropriate tool.

Part II: Run the full workflow

Work through the task with AI, taking notes as you go:

  1. What did you ask AI to do, and how did you frame it? Did you revise your prompt?
  2. What did the output get right? What was wrong, thin, or missing?
  3. What did you keep, change, or throw out—and why?
  4. What did you add that only you could provide?
  5. Would you put your name on the final output? Do you need to be transparent with anyone about how it was produced?

Part III: Debrief (in your own notes)

With a completed output in hand, reflect:

  • How did each competency—Delegation, Description, Discernment, Diligence—play out? Where did you loop back or change course?
  • Which Part II question did you write the most about, and which felt hardest? What does that tell you about where your instincts are strongest, and where you still have room to grow?

Bring your log to a colleague and debrief—not to compare outputs, but to share processes.

Lesson reflection

  • Looking back at the full workflow you just ran: where did the process feel natural, and where did it still feel effortful or uncertain? What does that tell you about where you still want to grow?
  • At the start of this course, how would you have described your relationship to AI tools? How would you describe it now, and what specifically changed?

What's next

In the next lesson, we'll close out the course with a final build exercise and resources for continuing your practice.