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Build Better AI Evals with Claude Code in 5 Steps

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Build Better AI Evals with Claude Code in 5 Steps
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For creators building products and workflows with AI, evaluation—or "evals"—is often the difference between a tool that works reliably and one that frustrates users. A new video from Creator Economy features a live audit of the host's own evals by two well-known eval experts, Shreya and Hamel, who walk through how to build better AI evals with Claude Code in five steps.

The format is refreshingly practical: rather than a theoretical discussion, the experts review real evals that were built for the host's skills, pointing out weaknesses and improvements along the way. According to the source summary, viewers are promised they'll "learn something new" from watching the audit unfold—suggesting the content is aimed at practitioners who already dabble in evals but want to level up their approach.

The five-step structure makes the material accessible for creators who may not have formal ML backgrounds. As more solo creators and small teams ship AI-powered features—custom agents, automated content pipelines, skill-based assistants—the ability to test whether those systems actually perform as intended is becoming a core business skill, not just an engineering one.

A notable bonus included with the release is a new free skill designed to help users build evals directly inside Claude Code. For creators already working within Anthropic's coding environment, this could lower the barrier to setting up systematic testing without needing to assemble a custom toolchain from scratch.

For the creator economy audience, the takeaway is clear: as AI becomes embedded in products, courses, and client work, demonstrating quality through rigorous evals can become a competitive advantage—and a trust signal to customers. Creators interested in the full walkthrough can find the video via Creator Economy, where the piece was published on August 23, 2026.

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