Explore the future of AI agent architectures with Tom Spencer and Cameron Rohn. This deep-dive covers the power of multi-agent systems, from swarm intelligence to advanced agent collaboration, and how to build them using cutting-edge tools like LangChain, LangGraph, and the Model Context Protocol (MCP). Learn about the intersection of AI and cybersecurity, context management in LLMs, and the agentic workflows shaping the next wave of software development.🎙️ Hosts:• Tom Spencer: https://tomspencer.co• Cameron Rohn: https://cameronrohn.comCHAPTERS00:00 Intro: The Rise of AI Agents & Overview01:26 What are the latest developments in Model Context Protocol (MCP)?03:38 What were the key AI takeaways from Vercel Demo Day?06:14 How is AI creating a new frontier for SEO and AEO?11:32 How is content optimization evolving with AI?15:49 What is Vercel's role in modern AI application development?18:33 Which emerging tools and technologies are defining the space?22:44 What are the most effective agent communication protocols?26:43 How do AI and cybersecurity intersect in agentic solutions?34:52 How do current video models perform for content generation?37:39 What is the evolution of content production models?39:21 How can prompting techniques be refined for better AI results?41:22 What is the current state of text generation in video models?42:39 Where is OpenAI focusing its efforts for future video models?43:03 Diving into Agent Architectures44:52 Contrasting Perspectives on Agent Structures49:44 Navigating Errors in Multi-Agent Systems52:25 Understanding Swarm Architectures56:43 Complexity in Agent Interactions01:02:49 Introduction to MCP Tools and Agent Swarm01:04:09 Applications and Composability of Agents01:07:08 Marketplace of Agents and Microservices01:08:41 Context Degradation and Output Management01:10:38 Multimodal Agent Execution and Creative Work01:14:48 Deep Research with Langchain and Agent Architecture01:26:42 Multi-Agent Workflows and Practical Applications01:28:15 Understanding LLM Queries and Reports01:30:24 Context Engineering: Insights and Developments01:34:24 Evaluating AI Outputs and Traces01:38:36 Applications of AI in Real Estate and Research01:49:10 Building Effective AI Agents and Strategies🔗 Resources & Links Mentioned:

• LangChain Blog on Multi-Agent Systems: https://blog.langchain.com/how-and-wh...• Cognition AI on Agent Architectures: https://cognition.ai/blog/dont-build-...• LangChain Open Deep Research Repo: https://github.com/langchain-ai/open_...• OpenAI Cybersecurity Agents Demo: https://github.com/openai/openai-cs-a...• LangGraph MCP Server Concepts: https://langchain-ai.github.io/langgr...• Cameron Rohn's MCP Server Demo: https://github.com/Cam10001110101/mcp...📌 Topics Covered:• Multi-Agent Systems & Swarm Intelligence• AI Agent Architecture & Collaboration• LangChain, LangGraph, and MCP Tools• Agentic Workflows & Context Management• AI in Cybersecurity & Threat Detection• AI for SEO (AEO) & Content Optimization• Deep Research Agents & Multimodal Execution• AI Applications in Real Estate🔔 Subscribe to The Build Podcast for more deep dives into the world of AI and software development! Like this video if you found it valuable and let us know your biggest takeaway in the comments below.#AIAgents #LangChain #TheBuildPodcast