Thank you very much for your comment, Aamer. I hadn’t read it. Right now, I’m working on building a harness capable of applying the OPEV-H architecture, so these have been busy weeks. Regarding your question about the hypothesis of prompting the model directly, it comes mainly from academic evidence showing that persona prompts do not have a significant positive impact on task outcomes and can sometimes be counterproductive. It also comes from multiple experiences where, in the reasoning of LLMs, you can literally see them saying things like: “I’m simulating the role of a marketing specialist, so I should respond in the following way...” That clearly shows the model is spending tokens maintaining an identity and, according to my hypothesis, also having to pay attention to preserving that role. There is still no empirical evidence on whether speaking directly to the model can lead to improvements, only subjective perceptions. But I hope at some point to run experiments to test or refute this hypothesis. Best regards.