An essential guide for product teams, engineers, and leaders aiming to cut through AI noise. We demystify context engineering—the art of building dynamic contexts that let LLMs and agentic systems actually complete tasks. We’ll explain why context is a system, how the right information, tools, and clear formats matter, and why this beats old prompt tinkering. Through real-world examples and a diagnostic lens, we’ll show when you’re solving for context versus when the model itself is the bottleneck. Inspired by The Rise of Context Engineering, this episode equips you with practical mental models to design smarter AI today and tomorrow.
Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.
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