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This article serves as a non-technical PM's guide to orchestrators, context optimization, and evals for AI agents. Jake McCGwire shares practical lessons learned from building AI agents, demystifying technical concepts for product managers who need to understand agent architecture without deep engineering knowledge.
The piece covers key concepts PMs encounter when working with AI agents, including orchestration patterns, how context impacts agent performance, and evaluation methodologies. It's designed to help product managers have informed conversations with engineering teams and make better product decisions around agent-based systems.
This resource is ideal for PMs just starting their AI journey. It provides foundational knowledge in technical skills that will help you build a solid understanding of how AI impacts product management.
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Go to The Release NotesThis guide teaches practitioners how to build effective AI prototypes through a structured, 12-step execution pipeline. Rather than creating impressiv...
This free interactive course teaches product managers how to use Claude Code—Anthropic's CLI tool—for AI-powered PM work. Uniquely, the course is taug...
This article introduces Claude Code as a transformative tool for product managers and builders. It features testimonials from industry leaders demonst...