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News
The 5 AI Agent Evaluation Metrics Every Team Should Be Tracking
3+ mon, 18+ hour ago (756+ words) So you built an AI agent. Great. You shipped it, your boss is impressed, and somewhere a CFO is staring at an Anthropic invoice with the kind of quiet horror usually reserved for medical bills. Welcome to the part of…...
Agent Trust
1+ mon, 6+ day ago (132+ words) montecarlo.ai What Is Agent Trust? Definitions, Framework & FAQ The Agent Trust gap: how enterprises need to evolve to deploy AI safely at scale Redefining AI Agent Trust for Production: An Input/Output-First Approach Read more related stories Monte Carlo’s…...
Agent Trust In 2 Weeks: Part 4, Your First Alert Fired
6+ day, 7+ hour ago (1270+ words) At the end of Part 3, your monitors were live and routed, and we said something was going to fire. Well, something just did. Maybe it came in as a Slack message or an email, or maybe a new row at the…...
Agent Trust In 2 Weeks: Part 3, Traces Are Flowing. Now What?
6+ day, 7+ hour ago (1019+ words) In Part 2 of this four-part series, we worked out what’s worth monitoring on your particular agent, and in what order. At this point, the traces are arriving in Monte Carlo. You can already do more than just watch them flow…...
Building Autonomous Agent Trust: RL, An Agent Fleet, And Comprehensive Observability
1+ mon, 5+ day ago (1345+ words) For many organizations, getting agents to successfully run in production, particularly to the extent that they can be trusted to be completely autonomous, seems like an insurmountable challenge. Agents look great in pilots, but once they are deployed live, issues…...
Agent Trust In Action: Live Demo??? Monitoring AI Agents From Context To Output
3+ week, 1+ 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…...
What Is Agent Trust? Definition & Framework
1+ mon, 3+ week ago (499+ words) Agent trust is the confidence that your AI agents behave correctly, reliably, and consistently in production. And your ability to demonstrate it. None of them holds up in isolation, and none can be checked periodically. Agent trust means watching all…...
Inside Monte Carlo's GTM Hub: How We Run Our Revenue Team On AI Agents
4+ week, 2+ day ago (1192+ words) With the proliferation of AI across businesses for internal use cases, teams are quickly spinning up agents to take on many of the tasks that humans used to do. With that inevitably comes some operational chaos. The work lives and…...
Root Cause Is Half The Job; Remediation Agent Ensures Every Analysis Ends In A Plan
3+ week, 3+ 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…...
The 2026 Guide To Agent Observability Tools
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…...