What if AI didn’t just respond—but acted? In this episode, we break down the emerging blueprint for autonomous agents: AI systems that can plan, execute, and iterate on complex tasks with minimal human input. Inspired by OpenAI’s latest frameworks, we explore how these agents are being designed—from tool use and memory to multi-step reasoning and real-world execution. You’ll learn:
- What actually defines an “autonomous agent” (vs. a chatbot)
- The core architecture: planning, tools, memory, and feedback loops
- How developers are already building agent workflows using GPT
- The risks, limitations, and where this could go next
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