Stop Prompting. Start Giving AI Goals. | Katia Gil Guzman | OpenAI France

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Summary

OpenAI France's Katia Gil Guzman proposes a new paradigm for AI collaboration: shifting from detailed prompts to setting goals, allowing AI to autonomously decide and execute. She emphasizes the arrival of an era of universal creation, using Codex and Verso as examples of goal-driven AI applications.

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Cached at: 07/20/26, 03:50 PM

**TL;DR:** No need to carefully craft prompts anymore—just tell AI your goal, let it decide and complete. ## From Prompts to Goals: A New Paradigm for AI Collaboration In the past, we were used to writing detailed instructions for models, telling them exactly what to do at each step. But as Katia Gil Guzman points out, this mode is being upended: "You don't even need your prompt model anymore. You just tell them: this is what I'm doing, let them handle it, and they will handle it." The core shift is: instead of giving AI instructions, you set goals. The model now has greater autonomy and will "do whatever it takes to achieve the goal." Users don't need to understand or predefine the implementation path—they only need to trust that the model will find a way. ## From Developers to Creators: The Era of Everyone Creating Katia works with developers globally, but her collaborators have now expanded to all creators. "Previously we only worked with developers, but now it's really become all creators." She emphasizes that anyone can become a creator, and the pace of technological change is incredible—"just look at everything that has happened in the past few weeks, it's mind-blowing." She specifically mentioned that these capabilities are about to enter the European market, bringing new possibilities for local creator communities. ## Codex as an Example: The Verso Story Codex is OpenAI's code generation model, which Katia used as an example. She mentioned the customer Verso: "Seeing how they've built a company around Codex has been really inspiring to me, and I hope it inspires everyone else too." The Verso case shows how to embed goal-oriented AI usage into a real business—not by instructing AI to write code line by line, but by giving it a business goal and letting it design and execute the solution on its own. ## Advanced Practices of French Creators Katia particularly praised the French creator community: "I love the creator community because I think they are the most innovative people I can connect with. They are early adopters. Especially in France, I'm amazed at how advanced their use of all these agents already is." This shows that even before the full European market opening, local innovators are already actively exploring the boundaries of AI autonomy. ## How to Set Goals: Trusting AI's Autonomy "You see, you are moving from just giving instructions to Codex, to giving it a goal and then letting it make its own decisions. Now you don't need to think about how it will achieve the goal—you just know—and can trust—that whatever method it uses, it will get it done." Katia concluded. This shift requires users to redefine their relationship with AI: let go of micromanagement and embrace outcome orientation. The model's high autonomy means it can autonomously plan, debug, and optimize its path until it reaches the preset goal. Trust is the key to this new collaboration mode. --- **Source:** YouTube: Stop Prompting. Start Giving AI Goals. | Katia Gil Guzman | OpenAI France (https://www.youtube.com/watch?v=1fL_lwsdMd4)

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