AI Agents

What We Learned About Agent Teamwork from an AI Film Hackathon

An internal Google hackathon tested whether AI agents could collaborate to make short films. Using a structured pipeline, shared filesystem, and a coach agent, teams of three agents produced films with surprising emergent coordination. The key lesson: agents collaborate better through files than messages, and persistent shared state is critical for complex multi-agent workflows.

Read MoreWhat We Learned About Agent Teamwork from an AI Film Hackathon

What building Shippy taught us about building agents

Building an AI agent for high-stakes maritime domain awareness requires more than a good model—it demands a reliable system with deterministic tools, sandboxed isolation, and rigorous evaluation against live data. The article details the architecture behind Shippy, an agent that helps analysts make decisions without overstepping into tactical recommendations.

Read MoreWhat building Shippy taught us about building agents

IDC: Networking Infrastructure Is the Key Bottleneck for Agentic AI

IDC's survey reveals that networking infrastructure, not AI models, is the primary bottleneck slowing agentic AI production deployments. With 32.6% of enterprises citing security concerns and 26.8% struggling with automation, the article argues for an infrastructure-level networking approach that provides consistent policy, observability, and governance across fragmented multi-cloud environments.

Read MoreIDC: Networking Infrastructure Is the Key Bottleneck for Agentic AI