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In this episode, Andy Cates is joined by Daniel Jerrett, PhD — founder of SmartMacro Labs and Haver's official training partner — to get past the noise around AI and ask what the technology actually changes for economists and investment teams. They discuss why most teams are stuck in a prompt loop with a ceiling, what separates a chat window from a genuine macro research system (persistence, context engineering, and a trusted data source), how MCP lets models pull Haver data directly, and where human judgment still matters most. Daniel also previews his hands-on workshop, where participants build a working AI research system inside Claude in a single day.
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