AI agent monitoring
Agents that review your agents. Worst first, with the fix.
Built-in intelligence agents read your fleet's runs for failure trends, slower runs, odd patterns, weak prompts and wasted tokens. What they find lands in one inbox, ranked by severity, each finding with what to change.
The problem
An alert says something broke. Not why.
Finding out why means reading the failed runs side by side until the pattern shows: the same source returning 403, the same step getting slower every day, the same instructions sent on every call. It is the step people skip, and it is work an agent can do.
The analysts
A team of reviewers in every workspace.
Every workspace comes with a set of intelligence agents, each with one job. They read your runs and your agents' setup, and each writes what it found as a finding.
Stability Watchdog.
Performance Auditor.
Pattern Analyst.
Anomaly Detective.
Output Quality Monitor.
Prompt Strength Classifier.
Token Optimizer.
Fix Advisor.
The inbox
Everything they found, on one screen.
Findings are grouped by the agent they are about, and the groups are ranked by their worst severity: critical, then warn, then info. Filter to one severity to see only what needs a decision.
The inbox stays readable as the analysts keep running: a finding reported again folds into the one before it, and a check that found nothing is tucked out of the way. Open a finding for its detail and its recommendation.
Finding to fix
What is failing, why, and what to change.
For a failing agent, Fix Advisor reads its failure history and its setup and writes the fix: which step fails, the cause, and exactly what to change and where.
Token Optimizer does the same for spend. Whole pages fetched to find three lines, context sent on every step, calls that could be batched: each comes with the change and its expected saving.
Free two-week pilot
Try it free for two weeks.
We set it up on one job your team repeats. You approve every email and post. If it does not work for you, you stop and pay nothing.
