12-25-2025, 04:32 AM
I'm a product manager at a marketing tech startup, and we're exploring integrating generative AI to help our users create first drafts of ad copy and social media posts. We've been prototyping with various API models, but the output quality is inconsistent and sometimes veers off-brand. I'm trying to design a system that provides useful, on-tone suggestions without requiring excessive manual editing from the user. For teams who have shipped similar features, how are you handling prompt engineering at scale, ensuring brand safety, and managing the costs associated with high-volume API calls? What evaluation frameworks did you use to measure the actual utility of the AI suggestions versus the time saved?