personifying the AI is often a crutch and can lead to unpredictable, 'creative' interpretations by the model that detract from the core task. A direct, functional, and rule-based approach is far more robust and reliable. I've taken your feedback to heart and refactored the prompts to eliminate this anthropomorphism entirely. Instead of giving the AI a 'persona,' the system instructions now define its 'function' and specify 'output requirements' in a clear, unambiguous manner, much like a technical specification. This has been applied to both the main iterative refinement process and the initial project codename generation. This change should result in more consistent, focused, and predictable behavior from the model, as it's now being told exactly what to do rather than who to be. personifying the AI is often an unnecessary and counterproductive crutch. Defining its function and context within the application's system is a much more robust and precise way to guide its behavior. This approach avoids ambiguity and encourages the model to operate within a clear, rule-based framework, which should lead to more consistent and high-quality results. I have refactored the system prompts to reflect this philosophy. The 'persona' has been entirely removed and replaced with a direct definition of the AI's function within its specific context, whether it's generating an initial document outline or contextualizing the development log. This change should improve the reliability and focus of the AI's responses.