Build Agent Evolution
Every failure,
a lesson it keeps.
Agent Evolution reads your agent's replies, finds the failures that keep coming back, and works out why from the traces. It fixes what it can in Test, proves the fix on the replies that failed, and leaves the release to you.
When a failure repeats
The real cause, then a fix that’s checked.
It reads the traces of the failing replies for what actually went wrong, like a limit hit or a tool that was too slow, and offers the fix that matches. You decide how much it does alone.
Ask me
DefaultIt finds the cause and prepares the fix. You apply it in Test, it replays the failing replies to check it, and you release it.
Fix in Test by itself
When the cause is a setting it can read for certain (tool calls, steps, time, a connector's time limit or retries), it changes it in Test and keeps it only if the replayed replies come back fixed. One fix per bot at a time, five a day at most. A fix that fails its check is undone.
Either way you’re told what happened, and Production changes only in a release you activate. It never writes a rule, loosens a guardrail or touches credentials on its own.
Reviewers
Four specialists read every batch.
Each reads the same replies for a different kind of problem. Every finding comes with its evidence, a likely cause, a suggestion and how sure it is.
- 01Pattern
The same error across replies, the same step failing, loops, and failures getting more frequent.
pattern - 02Speed
Steps that are slow again and again, bottlenecks, and the same tool called twice with the same input.
performance - 03Answer quality
Empty replies, claims about data that isn't there, answers that contradict the conversation.
output_quality - 04Input
Missing checks, tool calls with bad parameters, steps in the wrong order, unhandled errors.
validation
Rules
Lessons, with a track record.
A finding becomes a rule, written by you or drafted from a review. A rule that’s on applies to every reply and keeps a track record. Once it has been used five times, a rule whose replies keep failing is rolled back.
You set the pace
Watch first. Automate later.
Agent Evolution is off until you turn it on for a bot. Then it only watches. Each step after that is its own switch, so you add more as your team comes to trust what it finds.
Record replies
Keep a record of each reply: the track record every rule and rollback runs on.
Spot repeated failures
After each reply, check whether a failure it has seen before came back.
Review on its own
When 3 of the last 10 replies fail, the reviewers start without being asked.
Draft rules on its own
After a review, write a rule for each finding. It waits for your approval.
Turn confident rules on
A drafted rule above the confidence you set goes live at once. The rest wait.
Questions
