Practical AI

Nick Kuhn joins Daniel Whitenack and Chris Benson to discuss deploying AI agents alongside conventional enterprise applications. Topics include agent build packs, MCP gateways, shared memory, identity, sandboxing and lessons from platform engineering.

Hosted by Daniel Whitenack, Chris Benson

Demetrios Brinkmann and Chris Benson discuss agents that operate computers and interact with software. They examine MCP, agent harnesses, interactions between agents, emerging commerce workflows and the practical challenges of using these tools in enterprise environments.

Hosted by Chris Benson

Chetan Gupta joins Daniel Whitenack and Chris Benson to discuss the importance of system architecture when moving AI into enterprise use. The conversation connects industrial and physical AI with deployment, governance and sovereignty, considering how organizations can make practical design choices.

Hosted by Daniel Whitenack, Chris Benson

Angie Jones discusses the shared infrastructure needed for practical AI agents, including interoperability and open standards. The conversation covers MCP, agent-to-agent communication and Goose, asking how common foundations can make tools easier to connect and reduce fragmentation as organizations adopt agent systems.

Hosted by Chris Benson

Chris Benson and Daniel Whitenack separate the roles of models, agents and the software harnesses that run them. They discuss architectural choices for multi-agent systems, practical deployment considerations, and how openness and dependency on particular vendors influence the systems developers can build.

Hosted by Chris Benson, Daniel Whitenack

Chris Benson and Daniel Whitenack examine a reported security incident involving OpenAI agents and Hugging Face. They reconstruct the episode's account of what happened and discuss what it suggests about sandboxing, network access and the controls needed when AI systems can execute actions.

Hosted by Chris Benson, Daniel Whitenack

Hamza Tahir discusses how experience with MLOps can inform more reliable agent systems. The conversation covers workflow execution, replayability and observability, including the design of agent harnesses and how ZenML's Kitaru approaches the practical work of running agents in production.

Hosted by Daniel Whitenack

Dustin Podell discusses developments in image generation at Black Forest Labs, from diffusion models to flow matching and FLUX. The conversation considers image editing, local inference and the transition from producing pictures to supporting more capable visual workflows.

Hosted by Chris Benson, Daniel Whitenack