The experimentation phase for AI agents is over. For most large enterprises, agents aren’t a pilot project or a proof of concept anymore. Teams are shipping agents live, and they are handling real workloads and touching real customer data. According to a new Monte Carlo study, nearly half of engineers and architects are already running … Continued

Every conversation we have with data and AI leaders right now has the same undercurrent: teams are moving fast, expectations are high, and there’s a lot of pressure to show results from AI investment from across the organization. But beneath this momentum, there’s an uncomfortable, yet pressing, question around whether the data, infrastructure, and even … Continued

AI agents break differently from the way data pipelines do. A data pipeline fails loudly. A schema changes, a table goes missing, a freshness threshold is breached – and you know about it immediately. The fix is fairly traceable and the impact of it is calculable. Agents are different. They can fail quietly, ambiguously, and … Continued

When running AI agents in production, it’s crucial to have visibility into all elements of the agent lifecycle, including data/inputs, performance, behavior, and outputs. But what exactly do we mean by “behavior”?  Put simply, it’s knowing whether agents are working in the way you expect. Are the paths they are taking from one step to … Continued

Teams are moving fast to ship AI agents into production. But once an agent is live, one question comes up quickly: what is it actually doing? Today we’re introducing Agent Trace Dashboards – out-of-the-box dashboards that give teams immediate visibility into agent behavior from the moment traces start flowing. Instant dashboards for every agent Agent … Continued

AI agents are quickly becoming the new application layer. But while the capabilities are advancing quickly, reliability hasn’t caught up. Unlike traditional software, AI agents are probabilistic systems. Their behavior depends on models, prompts, retrieval pipelines, tool usage, and evolving data. And when something breaks, it’s often hard to know why. Did the agent hallucinate, … Continued

AI doesn’t sit on top of the data stack; it lives inside it.