Agents that improve themselves.
Evolver is the continuous improvement micro-agent embedded in every aixplain workflow. It collects production feedback, identifies failure patterns, and updates agent behavior — without requiring a manual retraining cycle.
How Evolver closes the loop
Production feedback loop
Evolver collects signals from every production run: user ratings, correction events, escalation triggers, and outcome data.
Failure pattern detection
Identifies recurring failure modes across runs — wrong tool selection, low-confidence outputs, repeated human corrections.
Automated improvement suggestions
Generates specific improvement recommendations: prompt refinements, tool substitutions, threshold adjustments.
RLHF integration
Human feedback from HITL escalations feeds directly into the improvement loop. Corrections become training signal.
Version management
Every agent version is tracked. Improvements are staged and tested before promotion to production.
Benchmark regression
Each new version is evaluated against baseline benchmarks before deployment. No regression without evidence.
Agents get better with every run.
Evolver is on by default.