Nova OS Observability

Know what your AI product is really doing.

Nova OS gives teams a clear way to trace, monitor, evaluate, and improve AI workflows before production issues become customer issues.

NNova Trace Console
Live

Trace volume

1.28M

+18.4%

Quality score

94.6

+4.2

Median latency

412ms

-9.8%

Conversation tracerun_94f2
User requestPlan renewal issue
Retriever4 docs matched
Tool callbilling.lookup
Final answerNeeds human review

Quality signals

Grounding82%
Tool success76%
Escalation fit61%
Recent alertsOpen queue
Prompt drift in support flowReview
Tool timeout spikeReview
High-cost retrieval loopReview

Helping product teams ship clearer AI experiences

VECTOR, LUMEN, CORTEX, SYNQ, NIMBUS, HELIO, PRISM, ATLAS, ORBIT, PULSE

Platform

One place to understand every AI run.

Nova OS brings the hidden behavior of AI systems into a readable product workspace, so engineering, product, and support teams can make better decisions from the same trace data.

Find broken AI paths before users do

Trace every request from prompt to tool call to final answer, then replay the exact path that created an issue.

  • Nested traces for prompts, tools, retrieval, and model calls
  • Threaded conversation history for multi-step workflows
  • SDKs for TypeScript, Python, Go, and Java
Learn more

Live trace

Production workspace

7 days

router.agent

Stable behavior

retrieval.search

Needs review

tool.billing

Stable behavior

model.response

Needs review

Built for investigation

Search deeply nested AI runs without losing the thread.

NovaQuery is a purpose-built way to inspect agent behavior, compare sessions, and answer product questions from complex trace data.

Explore NovaQuery

trace.search

status:error AND tool:billing.lookup

14 related runs

Grouped by refund intent

3 recurring failures

Tool timeout after retrieval

2 suggested fixes

Shorten context and add fallback copy

Workflow

Evaluate, deploy, and improve from one loop.

Keep evaluations close to traces, ship changes with confidence, and give every team a shared view of quality.

Evaluation

Score outputs against examples, rubrics, and product-specific quality checks.

Deployment

Route model updates, prompt changes, and workflow experiments through review.

Feedback

Collect human review, support notes, and production outcomes in the same loop.

Nova OS

Build AI systems your team can actually understand.