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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 β€œWhy”)

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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Article rating: No rating

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

 
 
βœ“ Featured Content

AI for Scrum and Agile Teams
Videos

A curated playlist of specific YouTube content.

Search Results

7 May 2025

How to Create a Custom GPT

How to Create a Custom GPT

Author: Rod Claar  /  Categories: AI Tools  /  Rate this article:
5.0

βœ… Prerequisites

Before getting started, ensure you have:

  • An OpenAI account

  • Access to ChatGPT Pro (required to use GPT-4 and build custom GPTs)

  • A clear idea of your GPT’s goal, audience, and use cases

🧩 Step 1: Go to the GPT Builder

  1. Navigate to chat.openai.com

  2. Click on your profile name (bottom-left corner).

  3. Select "Explore GPTs" from the menu.

  4. Click "Create" or “+ Create a GPT” to launch the builder.

πŸ—‚ Step 2: Describe Your GPT’s Purpose

The builder begins with a conversational setup wizard that asks:

  • What do you want your GPT to do?

  • How should it respond?

  • Should it have access to tools like web browsing, file uploads, or APIs?

You’ll write a plain-language description of your assistant. For example:

“This GPT is a helpful Agile coach that answers Scrum questions, provides sprint planning tips, and gives real-world examples.”

The builder will generate an initial configuration based on your description, which you can refine.

βš™οΈ Step 3: Configure Instructions and Behavior

After setup, you’ll enter the "Configure" panel where you define your GPT’s:

  • Name and logo/avatar

  • Instructions (how it behaves and speaks)

  • Conversation starters (examples users see to initiate chat)

  • Knowledge (optional: upload files it can refer to)

  • Capabilities (enable/disable tools like Code Interpreter, Browsing, DALL·E image generation, etc.)

You can customize how formal, funny, or direct the GPT should be, and what it should avoid (e.g., "Don’t offer legal advice").

πŸ“ Step 4: Add Knowledge or Tools (Optional)

To enhance your GPT:

  • Upload files: PDFs, docs, or spreadsheets that the GPT can refer to during conversation.

  • Add APIs: Use “Actions” to call external APIs if you want dynamic functionality (e.g., fetch weather, schedule events).

  • Enable tools: Like web browsing, DALL·E, or Python code execution.

πŸ§ͺ Step 5: Test and Iterate

Use the live preview to:

  • Try different prompts

  • Refine the instructions and tone

  • Ensure responses match your expectations

You can keep editing and retesting until it performs as desired.

🌍 Step 6: Publish and Share

When ready:

  1. Click “Save & Publish”

  2. Choose whether to make it public, unlisted, or private

  3. Share the link or embed it on your website or app

Once published, users can access your GPT directly from a URL or find it in the GPT Store (if public).

πŸ’‘ Tips for Success

  • Start simple. Focus on your GPT’s primary use case first.

  • Use system instructions to control tone, behavior, and do/don’t rules.

  • Add clear conversation starters to guide new users.

  • Iterate frequently based on real feedback.

πŸ”§ Example Use Cases

  • A Real Estate Assistant that answers property questions

  • A Scrum Coach that provides Agile tips and class reminders

  • A Fitness Planner that builds custom workouts

  • A Legal Document Explainer for plain-language summaries


πŸ“˜ Conclusion

Creating a custom GPT is an accessible and powerful way to share knowledge, automate tasks, or offer personalized services. With OpenAI’s no-code builder, you can go from concept to a working AI assistant in under an hour.

Whether for business, teaching, or fun—custom GPTs unlock creative new ways to harness AI. Start building today!

 

 

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