Novus's agent drew on analytics or code—never both—invisible to the team. Traces caught it; 60% of problems now caught before customers.
A product analytics platform that built Novus, a multi-step AI agent that monitors live user sessions, diagnoses usability issues via session replays, and generates code fixes by correlating behavioral data with specific source files.
Novus runs a complex pipeline across session replay analysis, behavioral data aggregation, code file correlation, and PR generation. When any step...
“Novus is a product agent that detects usability issues in live applications, fixes the underlying code, and improves the user experience. It achieves a 90%+ success rate on PM-reviewed evals and we shipped it to production in days, not months. LangSmith is a core reason we could do both.”
Product experience platform for user analytics and in-app adoption.
Framework and developer platform for building LLM-powered applications.
Pendo's Agent debugging is part of this use case:
Related implementations across industries and use cases
Untangling 30-call AI interactions consumed developers. Now, support teams use system traces to resolve context issues without engineers.
Blind spots in agent chains delayed debugging. Engineers now use one-click tracing to instantly pinpoint and fix errors in production.
Debugging scattered across individual notebooks meant week-long fixes. One shared platform now catches errors before customers do.
Blind spots in agent chains delayed debugging. Engineers now use one-click tracing to instantly pinpoint and fix errors in production.
Tracking spend for 300M AI agent runs was a black box. Real-time tracing now lets finance pinpoint costs and update pricing within hours.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
Novus's agent drew on analytics or code—never both—invisible to the team. Traces caught it; 60% of problems now caught before customers.
A product analytics platform that built Novus, a multi-step AI agent that monitors live user sessions, diagnoses usability issues via session replays, and generates code fixes by correlating behavioral data with specific source files.
Novus runs a complex pipeline across session replay analysis, behavioral data aggregation, code file correlation, and PR generation. When any step...
“Novus is a product agent that detects usability issues in live applications, fixes the underlying code, and improves the user experience. It achieves a 90%+ success rate on PM-reviewed evals and we shipped it to production in days, not months. LangSmith is a core reason we could do both.”
Product experience platform for user analytics and in-app adoption.
Framework and developer platform for building LLM-powered applications.
Pendo's Agent debugging is part of this use case:
Related implementations across industries and use cases
Untangling 30-call AI interactions consumed developers. Now, support teams use system traces to resolve context issues without engineers.
Blind spots in agent chains delayed debugging. Engineers now use one-click tracing to instantly pinpoint and fix errors in production.
Debugging scattered across individual notebooks meant week-long fixes. One shared platform now catches errors before customers do.
Blind spots in agent chains delayed debugging. Engineers now use one-click tracing to instantly pinpoint and fix errors in production.
Tracking spend for 300M AI agent runs was a black box. Real-time tracing now lets finance pinpoint costs and update pricing within hours.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.