by Lee Juliette Yamin Cohen | Aug 20, 2026 | AI
In multi-agent systems, agents delegate work based on capability declarations. When agents chain autonomously, each routing decision relies entirely on what the target agent claims about itself. But what happens if those declarations are inaccurate? An agent can...
by Shrey Anand, Eoghan O'Connor, Anamika Valappil | Jul 28, 2026 | AI
As AI workflows and agents become more capable, the skills they rely on matter more than ever. Most teams start building AI agent skills organically—a script here, a prompt there—and that’s a natural way to get going. But as the number of skills grows, so...
by Clodagh Walsh, Shaun Walsh | Jul 8, 2026 | AI, Edge Computing
Successfully getting an AI model up and running in a closed lab environment is one thing. Trying to get that same model to run reliably on remote edge devices is a whole other problem entirely. Any MLOps workflow follows the same cycle: develop a model, package it,...
by Ricardo Noriega De Soto | Jun 30, 2026 | AI
AI models no longer just read and write text. The latest generation of open source models—Qwen3-Omni, Hunyuan-Image3, MiMo-Audio—can reason across text, images, audio, and video simultaneously, generating rich multimodal outputs from a single prompt. But the...
by Pavel Anni | Jun 24, 2026 | AI
Key takeaways: The last mile problem is translating a verified zero trust delegation token into credentials that external resources will accept while preserving the permission intersection. This is solved by a credential gateway that validates the token, computes the...
