In Unit 4 of the AI Power User series, dive into AI agents—the next evolution beyond basic chatbots that actively pursue goals using tools, memory, planning, and action loops. Discover how these systems transform passive responses into real-world actions, like booking flights or generating reports, empowering you to automate complex workflows and escape tedious manual labor. This episode equips you with the foundational architecture to build and deploy agents effectively.

• Distinction between standard AI models and AI agents: from answering to acting
• The four pillars: tools for external actions, memory for coherence, planning for complex goals, and action loops (ReAct) for iterative execution
• Memory types: short-term in-context, long-term storage, and episodic recall
• Common mis ...