Hello, When we work in marketing, sometimes we work with precision, and other times we work creatively. For example, we work rigorously when we talk about our values, our policies, terms and conditions, pricing offers, or budget calculations. But we also work creatively when we come up with campaign names, write marketing copy, look for ways to differentiate our content from competitors, or create marketing materials. When we do this with AI, we face a temperature problem. I'm not referring to the temperature outside, but to the temperature of the AI model we're working with. Temperature is the level of rigor or creativity with which an AI model responds. It is a technical parameter set by the provider (Anthropic, OpenAI, Google), typically somewhere around 0.7–1 on a scale from 0 to 2—that is, somewhere in the middle. In other words, neither too creative nor too rigorous. If we're using a chat interface, we usually don't have the option to adjust this parameter because the provider doesn't expose it as a configurable setting. However, when using an API to connect an application and a database to the model, this parameter can be set. That's valuable, but it's generally intended for advanced users. A second, much simpler approach is to try to express the desired temperature in the prompt itself. This won't actually change the parameter, but it can influence the model's behavior in the desired direction. For example, if I want a legal recommendation, I prefer to ask for it "at a temperature of 0.2." If I want a social media post, I ask for it "at a temperature of 1.5." The results can be remarkable. I'm attaching two screenshots where I experimented with ChatGPT using the same model and the exact same prompt. @Olivia Angelescu and @Ada Munteanu , I'm curious whether you've found a solution for this, whether you've experimented with it yourselves, and whether, when working with prompts and AI applications, you think it's worth paying attention to temperature as well.