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:
Mentioned Links & Resources:
Follow Cameron & Thomas:
Cameron Rohn:
Thomas Spencer:
tomspencer.co
https://linkedin.com/in/tomspencerdigital
https://github.com/spencerthomas
https://x.com/surfcodetom
https://www.youtube.com/@tomspencer1286