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In this lessonBy the end, you’ll be able to
  • Apply Delegation — Problem Awareness, Platform Awareness, and Task Delegation — to a real project
  • Work through the Diligence checks: Creation, Transparency, and Deployment
  • Recognize the common pitfalls related to AI use, and know when to delegate and when not to

Delegation and Diligence

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Delegation and Diligence · 10 min

SummaryTranscript

This video points your analytical toolkit at an actual decision, using the Delegation-Diligence loop to break down when and how to apply AI to your creative work. AI use in creative practice also brings common pitfalls; this video names them while building the muscle to know when to step back and not delegate.

Key takeaways

  • Problem Awareness comes first: be clear on the problem you are actually solving before reaching for a tool. Platform Awareness comes next: you cannot decide what to hand to a tool you do not understand. Then Task Delegation assigns the work, and Creation, Transparency, and Deployment Diligence help you delegate responsibly.
  • Check finished work against your standards.
  • Convergence and skill atrophy are the long-term pitfalls; reaching for AI when you do not know what you want is the immediate one.

Exercises

The Decision Memo

Run one real project through the full outer loop and produce a one-page decision you can stand behind. The starting position is no AI; the analysis determines whether and how you opt in.

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Lesson reflection

  • If a peer challenged a Delegation call, could you defend it?
  • Which Diligence check did you find yourself wanting to skip, and what does that tell you?

What's next

Delegation decisions tend to collect around five recognizable roles. The next lesson gives you the vocabulary and asks where your own practice already sits.