4.10 – Creating Our First DALL·E 3 Image Inside ChatGPT Lesson

Lesson Overview

This lesson introduces the practical process of generating images with DALL·E 3 inside ChatGPT, using prompts produced by your own custom GPT prompt generator. You’ll go through the steps of requesting, refining, and applying prompts to create images suited for specific needs—in this example, animals living in the desert for a research presentation.

By organizing chats and carefully structuring prompts, you’ll gain control over the style and details of your generated visuals. The lesson emphasizes not just basic image creation, but also how to iterate on prompts, request alternate versions or similar concepts, and systematically manage your work within ChatGPT.

This approach is useful for users seeking custom visuals for presentations, creative projects, or content pipelines. Mastering this process provides an efficient method to quickly generate and organize compelling imagery for a range of practical scenarios, from education to marketing to personal projects.

Who This Is For

If you’re looking to create tailored images with AI and want to streamline how you handle prompts and results, this lesson is designed for you.

• Educators who need custom images for lessons or presentations
• Marketers developing unique visual content for campaigns
• Content creators seeking eye-catching visuals for blogs, videos, or social media
• Researchers assembling image-rich presentations or reports
• Anyone interested in exploring creative possibilities with AI-generated images
• Users who want a structured way to build and manage an image library

Where This Fits in a Workflow

This lesson sits at the intersection between prompt design and image output. After learning how to build a custom GPT to generate effective prompts, you now move to converting those prompts into real images with DALL·E 3, all inside ChatGPT. For example, if you’re developing an educational resource about desert animals, you can now request, refine, and generate the exact images you need—saving time compared to searching for stock photos. Similarly, marketers can quickly produce multiple visual variants for a campaign, adjusting style or content as they go. The methods shown here streamline the creation, iteration, and organization of images for practical, repeatable use.

Technical & Workflow Benefits

Traditionally, creating custom visuals requires back-and-forth between multiple tools or manual prompt crafting, which can be slow and disorganized. The process shown in this lesson improves on that by allowing you to request structured prompts from your custom GPT and generate visual results in one location—ChatGPT. By refining prompts for details like realism or specific color schemes, and managing images in organized chats, you reduce repetitive steps, increase consistency, and create a clear, reusable image workflow. For instance, requesting several prompt variations and generating alternate images lets you quickly compare options and select the best fit for your needs, whether that’s for presentation slides, a report, or digital content.

Practice Exercise

Try applying what you learned to a topic that interests you or is relevant to your current work.

1. Open your custom GPT prompt generator and ask for an image prompt related to your project (e.g., “Give me a prompt for a realistic photograph of a city at sunset”).
2. Copy the new prompt, start a dedicated ChatGPT chat, and create the image using DALL·E 3 by pasting in the prompt as described in the lesson. Rename the chat for easy reference.
3. Check if the result matches your expectations. Now, request two more prompt variations with added details (e.g., different weather or time of day), generate new images, and compare the results.

How did prompt wording affect the final images? Which image best matched your needs?

Course Context Recap

This lesson builds directly on previous work with custom GPT prompt generators and brings you to the first stage of seeing those prompts turned into real images. Prior lessons focused on shaping prompts and training your assistant; now you’re generating and managing outputs. Next, you’ll continue refining your image creation process and learn more about advanced prompt techniques and use cases. Stay on track to master generative AI—visit the next lesson or explore more in the full course.