Part 10/13:
Human Marketers: Experts reviewed the outputs for coherence, accuracy, and explainability across four diverse clients and platforms.
LLMs as Judges: To scale evaluation, the team trained prompts so that LLMs could emulate expert judgments, comparing alignment scores to human assessments.
Results revealed that Pixie’s architecture consistently outperformed simpler setups, especially in explainability, reasoning, and accuracy. Notably, the hierarchical structure reduced errors and improved decision quality, though it incurred higher latency and computational costs.