4+ hour, 6+ min ago   (1076+ words) Evals are a critical part of every data and AI team’s agent development process. An engineer builds an eval, defines what a bad answer looks like, runs a judge against a test set, and ships when the score looks good....

3+ week, 2+ day ago   (138+ words) Most teams can ship an AI agent. Almost none of them can tell you, with confidence, whether it’s making good decisions once it’s live. See a live demo of Monte Carlo’s Agent Trust platform, built around four layers every production…...

3+ week, 4+ day ago   (534+ words) When a monitor fires on a data table or agent, Monte Carlo streamlines the investigation process for you via our Troubleshooting Agent. It gives you a root cause, the evidence behind it, and a verification checklist. The last step in…...

1+ mon, 2+ week ago   (1801+ words) Agent observability tools watch your AI agents in production and tell you what they’re really doing: the data they pull in, how fast and how expensively they run, the paths they take through a task, and whether their answers are…...