Agentic prompt engineering framework - course reflection

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Learning is better when it’s shared—and you’ve just explored the agentic twist on prompt engineering!

With this occasion, we invite you to share your “A-ha!” moments with us and fellow learners. If it’s easier for you to take some time and reflect on this lesson with some guidance, don’t hesitate to refer to one or more of the following questions:

  • What did I learn and did not expect?
  • What was difficult for me and how did I overcome it?
  • What is the most useful thing that I learned in this lesson?

Feel free to share with us and your peers whatever comes to your mind!

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Agent memory and task chaining are game-changers.
The moment I saw how an agent can remember prior steps and build on them across tasks, it clicked: this is how AI moves from single-use tools to true digital co-workers.

Treating prompts as user experience design opened my eyes. Every prompt is a choice that affects how the agent reasons, behaves, and prioritizes goals.