
Nexus
Context-aware agent monitoring
82 followers
Context-aware agent monitoring
82 followers
Nexus monitors your AI agents in production to catch and handle silent failures before your users complain. It uses your engineering and trace context to automatically catch, surface, and root-cause only issues that will have major user impact.
This is the 2nd launch from Nexus. View more
Nexus
Launched this week
Nexus monitors your AI agents in production to catch and handle silent failures before your users complain. It leverages your engineering and trace context to automatically catch, surface, and root-cause only issues that will have major user impact.



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When a traditional API breaks, you get a 500 error and it's obvious. When an AI agent fails, it often just returns a confident-sounding wrong answer and nobody notices until a user complains. Our existing observability tools have no idea what "good" looks like for an LLM response. How do you define "major user impact"? Is that something we configure based on our own product logic, or does Nexus infer it from the trace context automatically?
congrats on the launch!