Follow the trace
See the context, tool calls, decisions, and handoffs in sequence instead of guessing what happened from the final answer.
Xpectrum AIProduct / Observability Xpectrum AI
See what the agent did after it did it.
Make every run reviewable with traces, evaluation signals, and a clear path from a surprising result to a better system.
For teams moving agents into production who need to understand quality, cost, latency, tool use, and the decisions behind each outcome.
100%of runs worth reviewing↗
How it works
Trust grows when the work can be inspected.
The point is not to add another screen to the process. It is to give the people responsible for the outcome a system that can help, explain itself, and improve.
Measure what matters
Pair operational signals with the quality signals your team cares about, from resolution rate to source quality and human corrections.
Fix the right thing
Move from a failed outcome to the exact step that needs changing, then compare the next run against the old one.
A simple loop
Every product primitive fits into the same practical rhythm: understand the request, make the right move, check the result, and leave the next person with enough context to continue.
01Trace→
02Score→
03Compare→
04Improve
See it in your work
Start with the problem people already feel.
Bring the run that surprised your team. We will help you find what happened, decide what should change, and make improvement part of the operating loop.