How Product Managers at Rise Science Drive AI Evals | Case Study

Описание: When the teams closest to user needs can run evals, they iterate and move faster, and ship with more confidence. That’s exactly what unlocked speed for the team at Rise Science.

Kellie (Kuzmuk) Maloney, Product Lead at Rise Science, explains it best: “Maxim democratized prompt development by empowering product and design teams to own the process - a huge unlock for us. We can now compare models and prompt versions side by side, test hypotheses, and continuously improve. The result: faster iteration cycles and higher-quality outputs.”

She shares how her team scaled AI-powered sleep coaching to millions of users while maintaining quality and velocity, and also unpacks:
📌 Why systematic evaluation infrastructure non-negotiable when building AI products that users trust
📌 How product teams owning prompt engineering accelerated iteration cycles and improved output quality
📌 How prompt partials created a centralized knowledge base that scales across their entire AI coaching system
…and lots more

Read the full case study to see how Rise Science built the foundation for AI-driven personalization at scale. Link - https://www.getmaxim.ai/blog/scaling-...

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Tags
quality
experimentation
simulation
observability
reliable
evaluation
ai agent evaluation metrics
llm
product management
product manager
artificial intelligence
ai

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