Operations | Monitoring | ITSM | DevOps | Cloud

Multi-Agent Architectures - What we shipped, what broke, and what we'd do differently

At LLMday Lisbon, our Software Engineer, Viktor Vasylkovskyi, highlights the realities of building production AI agents with LangGraph - sometimes getting it right, often learning the hard way. This talk is about what was actually shipped, including a distributed multi-agent setup at PagerDuty. Viktor breaks down the real tradeoffs between LLM-driven and deterministic orchestration, what broke, and how he’d approach it differently now.

Inside the Buyer's Decision: Governance, Trust, and Production-Ready Agentic AI

Why do so many AI pilots succeed in testing but fail to reach production? In this webinar, Resolve and IT leaders from RisePoint explore one of the biggest challenges facing enterprise AI adoption today: trust. While organizations are investing heavily in AI agents and automation, many initiatives stall before deployment due to governance concerns, compliance requirements, risk management, and lack of operational visibility.

Stop Token Maxing The Future of Al Budget Management

The era of token maxing is over. When Claude Fable 5 launched last week at $10/$50 per million tokens - double the price of Opus 4.8 - it was a clear reminder that the most powerful model isn't always the right model. Not every task needs the Ferrari. The fastest way to burn your Al budget is sending every request to the most expensive model by default. The real question for the next phase of Al cost management isn't "can this model do the job?" — it's "is it the right model for the job?".

Why we built relaxAI, and where your AI data actually goes

Sandboxing your AI agent is only half the story. The other half is where your data goes when it hits your LLM provider's API. In this clip from our secure execution agents webinar, Ben Norris, founding engineer at relaxAI, explains why the sovereignty of your AI provider matters just as much as the security of your agent's environment and why relaxAI was built on a sovereignty-first principle, with inference running exclusively in the UK and no foreign data transfer.

Zebra AI For the Frontline: Barcode Locator | Zebra

In this video, we demonstrate how Zebra's Frontline AI and advanced computer vision technology make package search fast, intuitive, and error-free. Watch as we simply wand the mobile device's camera across a row of identical products. The smart AI agent instantly scans and recognizes barcodes in real time—displaying green indicators for items that require no action—before immediately flagging the exact package we need with a prominent blue indicator and a "Confirm Pick" prompt. Eliminate the stress of manual search and bring high-speed accuracy to your warehouse, backroom, or retail floor.