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Path Steps

Follow these steps in order. Each one links to an EasyDNNnews article/video and gives you a quick, practical takeaway.

You’ll learn how to frame AI as a teammate that supports Scrum events and backlog work without replacing judgment or collaboration.
Do this exercise: Write a 3-sentence “AI usage policy” for your team (what you will use AI for, what you won’t, and what must be reviewed by a human).
You’ll learn repeatable prompt patterns to generate stories with clearer intent, constraints, and acceptance criteria.
Do this exercise: Take one messy request and prompt AI to produce (a) a user story, (b) 5 acceptance criteria, and (c) 3 key questions for the PO.
You’ll learn how to generate “plan options” (not commitments) and improve shared understanding of scope and dependencies.
Do this exercise: Ask AI for 2 sprint goal options based on your top backlog items, then pick one as a team and adjust wording together.
You’ll learn facilitation prompts that help teams extract insights, turn feedback into actions, and avoid “retro theatre.”
Do this exercise: Feed AI 5 bullet facts from the sprint and ask for (a) patterns, (b) 3 improvement experiments, and (c) 1 metric per experiment.
You’ll learn how to convert your best prompts and practices into a lightweight working agreement the team can actually follow.
Do this exercise: Create a “Prompt Library” page with 5 prompts: refinement, story writing, planning, review, retro—each with input/output examples.
 

Learning Path - Free

24 Feb 2026

Step 1: What AI Can (and Can’t) Do for Scrum Teams

AI is a productivity amplifier—not a Product Owner, not a Scrum Master, and not a Developer.

Used correctly, it accelerates learning, drafting, summarizing, and exploring options. Used poorly, it replaces thinking with automation theater.

This step helps your team position AI as a supporting teammate, not a decision-maker.

Author: Rod Claar
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24 Feb 2026

Step 2: Prompts That Produce Better User Stories

AI can help—but only if the prompt is structured.

This step introduces repeatable prompt patterns that improve:

  • Intent clarity

  • Constraints visibility

  • Acceptance criteria quality

  • PO alignment

Author: Rod Claar
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24 Feb 2026

Step 3: Backlog Refinement with AI (Without Losing the “Why”)

The Core Risk

When teams use AI in refinement, a common failure mode appears:

  • Stories get cleaner

  • Acceptance criteria get longer

  • Technical detail increases

  • Business intent becomes less visible

Scrum optimizes for value delivery, not documentation density.

AI must support the “why” behind the work.

Author: Rod Claar
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24 Feb 2026

Step 4: Sprint Planning Acceleration

The Key Principle

AI should propose:

  • Possible Sprint Goals

  • Possible scope groupings

  • Possible dependency flags

The team still decides:

  • What to commit to

  • What fits capacity

  • What aligns to product strategy

AI drafts.
The team commits.

Author: Rod Claar
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Learning Path - Member

 
 
✓ Featured Content

AI for Scrum and Agile Teams
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A curated playlist of specific YouTube content.

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5 Nov 2025

Push Beyond Production: How New Professionals Can Thrive in the Age of AI

Push Beyond Production: How New Professionals Can Thrive in the Age of AI

Author: Rod Claar  /  Categories: AI Training  /  Rate this article:
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For those just starting their careers, it’s easy to fall into the “production trap”—spending your days cranking out reports, slides, or analyses. But in an era where AI tools can produce passable versions of these in seconds, that’s not where long-term value lies. Your future depends on how quickly you can move from just producing to actively solving problems.

Push Aggressively Toward Problem Solving

Don’t wait to be told what to do—start asking why the work matters. What problem are we trying to solve? What assumptions can be challenged? Juniors who frame their contributions around why instead of what become indispensable faster than any automation threat can catch up.

Demonstrate Unique Value

Your company should see you not as another pair of hands, but as a thinker. Show the reasoning behind your output, the trade-offs you considered, and how your decisions improve outcomes. That’s the kind of contribution no AI can easily mimic.

Leverage Creativity and Fresh Thinking

OpenAI and other leaders are intentionally hiring juniors for one reason: fresh perspective. You haven’t been conditioned by decades of “how it’s always been done.” Your creative leaps, your willingness to experiment, and your comfort with ambiguity are priceless. Use them.

Radically Increase Productivity

If you’re assigned production work, use AI as your accelerator. Let it handle the routine so you can focus on insight. Be the person who delivers ten times the output—and uses the time saved to ask smarter questions or prototype better ideas.

Rethink AI-Replaceable Tasks

Even when your tasks look automatable, your understanding is what makes them valuable. Don’t just complete the assignment—explain it, visualize it, improve it. Show that you grasp the system behind the numbers or the story behind the text.

The modern workplace doesn’t just reward output—it rewards understanding, creativity, and adaptability. Use AI to amplify those traits, and you’ll never be easily replaced.

 

About the Author

Rod Claar, Certified Scrum Trainer and AI educator, helps professionals and teams blend Agile thinking with modern AI tools to radically improve performance, creativity, and delivery.

Learn more at AgileAIDev.com — explore hands-on classes and cohort programs that show you how to integrate AI into real Scrum and Agile work.

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20 May 2026

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