CoreWeave has announced that MasterClass selected CoreWeave Cloud to evaluate and improve the AI teaching agents that power its personalized instruction. MasterClass will use W&B Weave to evaluate how its AI teaching agents perform across conversations with learners, track their behavior, and use those insights to improve agents over time.
MasterClass selects CoreWeave Cloud for AI teaching agent evaluation.
Uses W&B Weave for full-conversation tracing and production monitoring.
Enables visibility into complete learner interactions, not just individual prompts.
MasterClass Executive program includes hands-on AI lab with evaluation framework.
CoreWeave provides compute and observability for the full AI lifecycle.
CoreWeave holds #1 ranking for inference speed and price-performance.
AI teaching agents are only as successful as how well they handle an entire conversation with a learner, not just a single question. Evaluating that behavior in production, and improving it continuously, requires both the compute to run agents at scale and the observability to see how they perform with real learners. W&B Weave captures complete learner interactions with AI teaching agents, giving MasterClass visibility into how agents perform across an entire conversation, applies custom signals and monitors to live learner interactions to identify where teaching quality and personalization can improve, and provides a single point of visibility across MasterClass's evolving AI agent pipeline.
MasterClass is extending this evaluation approach beyond its own engineering team. MasterClass Executive, the first business school experience for the AI era built with the University of Chicago Booth School of Business and with collaboration from OpenAI, selects a cohort of roughly 700 members each year from a pool of about 30,000 applicants. The program includes a hands-on AI lab that gives participants a practical framework for evaluating whether an AI system is ready for production, covering quality, cost, latency tradeoffs, and risk areas such as hallucinations, bias, and inadequate guardrails.
"W&B Weave gives us visibility into complete learner conversations, not just individual prompts, so we can see exactly where our AI teaching agents are succeeding and where they need to improve," said Mandar Bapaye, chief product officer and chief technology officer at MasterClass. "That level of insight, combined with the performance we've seen from CoreWeave Cloud, gives us the confidence to scale."
"CoreWeave gives MasterClass a single system of record and the observability their AI teaching agents need to continuously improve," said Jon Jones, chief revenue officer at CoreWeave. "MasterClass is building on a platform designed to support that full lifecycle, from the compute that runs its agents to the visibility into how well they're teaching and learning."
About CoreWeave
CoreWeave is The Essential Cloud for AI. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to move at the pace of innovation, building and scaling AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave serves as a force multiplier by combining superior infrastructure performance with deep technical expertise to accelerate breakthroughs. Established in 2017, CoreWeave completed its public listing on Nasdaq (CRWV) in March 2025.
About MasterClass
MasterClass is the personalized learning platform that unlocks human potential with the world's best instructors. A membership provides unlimited access to 200+ instructors and classes in a variety of formats and subjects, including business and leadership, communication, health and wellness, writing and more, available anytime, anywhere, on mobile, tablet, desktop, Apple TV, Android TV, Amazon Fire TV, and Roku.
TechIntelPro empowers B2B technology decision-makers with the latest industry trends, deep insights, leadership perspectives and actionable intelligence to drive both organizational and professional milestones, and thrive on the tech pulse.
