How ChatGPT-5 Agent Mode Automates Azure Workflows

I’ve seen countless tools that promise to streamline development, but what I recently witnessed with ChatGPT-5’s new agent mode goes beyond simple automation—it’s autonomous development.

I recently put this powerful new feature to the test, giving it the keys to my Azure account with a single, simple prompt. My goal was to see if it could not only provision artifacts but also configure them correctly with zero human interaction.

The results were nothing short of incredible, offering a glimpse into a future where AI works as a true partner in the development process.

Take a look at the related video below.

The Prompt: From Words to Action

The foundation of this entire experiment was a simple, 140-word prompt that I crafted myself. It laid out a four-step plan for the agent to follow.  See the prompt below.  Copy-and-paste it and try it yourself!

The entire process was designed to test the agent’s ability to not only follow instructions but also to navigate a complex user interface and handle dependencies between tasks.

Watching the AI at Work

After pasting the prompt into the ChatGPT-5 desktop version (it also works on the web version, which I also tested), I launched the agent. The system set up a desktop environment to execute and manipulate actions on my behalf. The only interaction required was logging in to my Azure account. From there, the agent took over completely, and the rest was automatic.

Chat GPT-5 Agent Desktop

One of the most valuable aspects of this process was the agent’s step-by-step communication. It clearly told me what it was doing at every stage. I could also see it navigating the Azure portal, clicking buttons, and entering information. This transparency is crucial, as it allows for real-time monitoring and intervention. At any time, I could have stopped the process or taken full control of the session. This is an essential safety feature, especially when working with production environments, which I definitely would not recommend doing with this new functionality just yet.

The Results: A Flawless Execution 

The entire operation took about 15 minutes. The first six minutes were dedicated to creating the resource group and logic app, which it handled flawlessly. The real challenge came in the second half of the execution. The agent spent a significant amount of time “fumbling around” to find the URL for the newly created logic app to embed in the Postman file. While it eventually succeeded, this part of the process highlighted an area for optimization.

Once it completed its work, I had a working logic app with the correct HTTP request and response configuration. The Postman file it generated worked perfectly, allowing me to test the application immediately. The response from the logic app correctly returned the body of my request, as requested.

Conclusion: What This Means for the Future!

This demonstration confirmed that ChatGPT-5 agent mode is a powerful tool for auto-generating components in Azure. While I used a logic app and a resource group in this demo, this approach could be applied to almost any Azure component.

The ability to simply describe what you want in English and have an agent build it for you is a game-changer. It’s about more than just speeding up tasks; it’s about making developers more productive and enabling them to focus on higher-level problems.

This is a brand-new technology, and it’s not without its stumbling blocks, but it offers a compelling vision for the future of development. It’s time to start thinking about how we can leverage these AI assistants to automate the mundane and unlock new levels of creativity.