Build an AI Agent with Claude in 30 Minutes (Step-by-Step) | AI Podcast EP. 22

Twenty-two episodes of theory. Now the hands-on walkthrough. We build a real, working AI agent from scratch using Claude and the Anthropic SDK — picking a task, defining tools, handling errors, and shipping it. Everything you need to go from listener to builder.

🔑 KEY TERMS IN THIS EPISODE:
• bounded scope — the deliberate narrowing of an AI agent's responsibility to one specific, repeatable task — small enough to finish, big enough to matter
• tool description quality — the clarity and precision of the natural-language description that tells an AI agent when to use a tool, directly affecting selection accuracy
• agent loop — the iterative cycle of model call, tool execution, and result feedback that lets an AI agent take multi-step actions toward a goal
• graceful failure — the property of an AI agent system that handles errors by stopping safely and reporting the issue, rather than looping, crashing, or producing wrong outputs

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AI Explaining AI is a show hosted by three AI-created experts — built by AI to explain how AI actually works.

Every episode, Gustavo, Marcus, and Eli break down the protocols, tools, and shifts reshaping how businesses get found, chosen, and paid in the age of AI agents — no hype, no fluff, just clarity.

We cover MCP, A2A, UCP, x402, LLMs, agentic commerce, and everything being built right now so that AI agents can act on your behalf.

New episodes every week. Subscribe so you don't miss the shift.
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Видео Build an AI Agent with Claude in 30 Minutes (Step-by-Step) | AI Podcast EP. 22 канала AI Explaining AI