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Learning Path

AI on a Development Team

Who it’s for: Developers, testers, and tech leads who want practical, sprint-ready ways to use AI to build faster without sacrificing quality.

Outcomes

  • Use AI to turn vague work into clear, testable stories and acceptance criteria the team can build from.
  • Accelerate coding with guardrails: prompts that reinforce TDD, code review quality, and consistent patterns.
  • Improve delivery reliability by using AI for risk surfacing, edge cases, and “definition of done” readiness checks.

Path Steps

Work through these steps in order. Each one links to a specific EasyDNNnews article/video post.

8 steps
1
Step 1: How AI fits into a dev team (without chaos)

You’ll learn where AI helps most (planning, building, testing, reviewing) and how to keep the team in control.

Do this List 3 recurring “time sinks” in your sprint and pick one to target with AI assistance first.
5
Step 5: Code generation with guardrails

You’ll learn how to constrain AI output to your architecture, conventions, and security requirements.

Do this Create a “project rules” snippet (stack, patterns, naming, linting) and reuse it in every coding prompt.
7
Step 7: Test data, mocking, and troubleshooting with AI

You’ll learn how to generate realistic test data and isolate failures faster with structured debugging prompts.

Do this Paste a failing test + stack trace and ask AI for the top 3 hypotheses with “how to prove/kill each.”

Steps - Free

Steps - Members

 
 
✓ Featured Content

AI Coding 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

✅ 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.

🗂 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.

⚙️ 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").

📁 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.

🧪 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).

💡 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.

🔧 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


📘 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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