Join hosts Cameron Rohn and Tom Spencer for the inaugural episode of their weekly AI deep dive!

Chapter Links

00:00 Intro

00:35 LangChain Interrupt Conference Recap

03:00 Ambient Agents in High-Risk Use Cases

04:45 LangChain Product Updates: LangGraph & LangSmith

06:00 LangGraph Platform and Prebuilt Agent Marketplace

07:45 LangChain's MCP Integration and Cloud Desktop Demo

09:00 Keynote Themes: Evals and Agent Simplicity

10:45 Open Evals and "LLM as a Judge" Concepts

12:00 Agent Inbox and Email Task Manager Demo

13:45 Human-in-the-Loop UX and LangGraph Publishing

15:00 Agent Engineer as a New Role

16:30 Architectural Standards and LangGraph Adoption

18:00 Interesting Talks: Docet ETL and Data Challenges

21:00 Greg Kamradt, Arch Prize, and Context Engineering

23:15 Devon's Deep Wiki and Contextual Agents

25:00 Google’s Gemini 2.5 Pro and Diffusion LLMs

27:30 Google Labs: VEO V3, Flow, and Creative Tools

29:30 SynthID, Agent UX, and Agent Mode OS Concepts

31:00 Microsoft’s Ecosystem: Teams, MCP, and Identity

33:15 MCP Native to Windows & Local Development

35:00 Daytona, Cloudflare Sandboxes, and Remote Agents

38:00 Cloud Execution Environments and Security

40:00 One-Time Use Software and Just-In-Time Apps

42:00 LangGraph Prebuilts and Computer Use Agents

44:00 AI Containers, Sharing Memory & Swarm Architectures

47:00 Outlook on Supervisor Models vs Workflow Models

49:00 Wrap-Up and Final Thoughts on the Agent Ecosystem

Overview

They kick things off by unpacking the flood of insights from the recent LangChain 'Interrupt' Conference in San Francisco. Discover how agents are being trusted in high-stakes scenarios like finance, and why 'Agent Engineering' might be the next big role.

They cover LangChain's latest product launches, including LangGraph Platform and Agent Inbox, and its surprising lead over OpenAI in SDK downloads. Major announcements from Google and Microsoft's strategy, focusing on its ecosystem, AI Foundry, and building MCP (Multi-Agent Collaboration Protocol) natively into Windows and Teams.

Finally, the duo gets hands-on, discussing and demoing remote AI sandboxes. They explore tools like Daytona, Cloudflare's upcoming containers, E2B, and Scrapybara, showing how these environments enable complex, secure, and even disposable AI applications. Plus, catch their live reaction as Anthropic appears to launch Claude 4 during the recording!

Key Discussion Points:

• LangChain Conference Recap: Key themes (Simplicity, Agents, Evals), new products (LangGraph Platform, Agent Inbox, Pre-builts), MCP integration, and the Agent Engineer role.
• Google AI Updates: Scale, Gemini 2.5 Pro, Diffusion LLMs, Veo, AI Labs, Agent Mode, and Synth ID.
• Microsoft AI Strategy: Open source push, MCP in Windows, Teams integration, and the power of their identity ecosystem.
• OpenAI News: Acquisition of Jony Ive's IO startup.
• AI Tools & Demos: DocETL, Deep Wiki, NL Web, and a live demo of AI agents in Daytona remote sandboxes.
• The Future: Agent-to-Agent (A2A) communication challenges, the impact of remote execution environments, and the announcement of Claude 4.

Mentioned Links & Resources:

• LangChain: https://www.langchain.com/
• LangGraph: https://github.com/langchain-ai/langgraph
• Agent Inbox: https://github.com/langchain-ai/agent-inbox
• DocETL: https://github.com/ShreyaGanesh/DocETL
• Deep Wiki (Devin): https://github.com/devin-ai/deep-wiki
• NL Web (Microsoft): https://github.com/microsoft/NL2Web
• Google AI Labs: https://labs.google/
• Daytona: https://daytona.io/
• E2B: https://e2b.dev/
• Scrapybara: (Link Needed)
• Claude (Anthropic): https://www.anthropic.com/claude

Follow Cameron & Thomas:

Cameron Rohn:

https://cameronrohn.com/

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Thomas Spencer:

tomspencer.co

https://linkedin.com/in/tomspencerdigital

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https://www.youtube.com/@tomspencer1286