OVERVIEW: Welcome to The Reasoning Show! We dig into one of the foundational building blocks of modern Generative AI, the AI Agent. So what is an AI Agent, and what do we need to think about for the next couple years?

SHOW: 1007

SHOW TRANSCRIPT: The Reasoning Show #1007 Transcript

SHOW VIDEO: https://youtu.be/4tdj0S0AyhM

SHOW SPONSOR:

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SHOW NOTES:

Topic 1 - We’re 3+ years into the Generative AI era. Why do you think AI Agents, or Agentic AI, is now getting so much attention?

Topic 2 - If someone asked you to explain what an AI Agent is, how would you do that?

Topic 3 - What are some of the core elements of AI Agents that you’re seeing impact how people think about and use agents?

How to define tasks
Languages and frameworks
Ability to orchestrate multiple agents
Human-in-the-Loop vs. Autonomous
Other?

Topic 4 - AI Agents are going to spark the great “how much should I pay for this?” discussion. Have you given this any thought yet?

Topic 5 - How do you expect to use AI agents in your day-to-day work, and how do you expect this to impact Enterprise businesses?

ESSENTIAL READING

Building Effective Agents" by Anthropic: designing agents with tools, memory, reasoning loops
A Comprehensive Review of AI Agents: how agents perceive, reason, decide, act
Top 20 AI Agent Concepts You Should Know: covering ReAct, Chain of Thought, memory types
AI Agents in Action: Foundations for Evaluation and Governance: structured foundation for safety aspects of agent deployment

Essential Viewing

AI Agentic Design Patterns w/ AutoGen: build autonomous agents that use tools
AI Agent Systems w/ crewAI: orchestrating teams of agents
LangGraph Course: how to build stateful, reliable agents

Frameworks & Tools

LangGraph: standard for complex, stateful agents (nodes, edges, loops)
CrewAI: Best for structured task delegation and multi-agent collaboration
AutoGen: Microsoft's framework for multi-agent conversational systems
Model Context Protocol (MCP): standard for connecting agents, tools, data
n8n: no-code/low-code visual

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