I Built GPT Image 2.5: AI Image Generation with Both Classic Prompts and a Chat Agent

I recently built GPT Image 2.5, a web-based AI image generation and editing workspace: https://gpt-image-2-5.org/ Most AI image tools follow the same pattern: choose a model, write a prompt, select a size, click generate, and wait for the result. That workflow is still useful, so GPT Image 2.5 supports the classic image generation flow. But I also wanted to explore a more natural way to create images: generating through conversation. Two ways to create images GPT Image 2.5 currently supports both workflows: Traditional prompt-based image generation Conversational image generation with an AI agent The traditional mode is good when you already know what you want. You can write a prompt, upload a reference image, choose the model and output size, then generate or edit the image directly. The AI agent mode is different. Instead of filling out everything manually, you can chat with the agent about what you want to create. For example, you can describe a product photo, a poster idea, a portrait style, or a marketing visual, and the agent helps turn that conversation into an image generation task. This makes the workflow feel closer to working with a creative assistant: You can start with a rough idea Ask the agent to refine the direction Adjust the style through conversation Explore multiple visual concepts Generate images without needing to write a perfect prompt from the beginning Supported models and use cases The workspace includes Flare, Sunburst, and GPT Image 2. Flare is useful for fast creative exploration. Sunburst is better suited for more detail-focused editing. GPT Image 2 remains available for workflows built around the previous generation. Some example use cases: Product visuals Portraits Posters Campaign concepts Social media images Reference-based image editing Creative visual experiments Why add an AI agent? A lot of people do not naturally think in “prompt format.” They may know the result they want, but not how to describe it in a way that works well fo