Vibe Audit – Detecting Context Drift in Coding Agents
Detects when Claude drifts off-task during long sessions—addresses real agent supervision pain.
Decides when your ML model actually needs a retrain instead of retraining every time a drift alarm fires. Learns from labels that show up weeks late.
Handles 12-week label delays in fraud models without scheduled retrains.
ML engineers in fraud, AML, delayed-label scenarios
Evidently AI · Arize · WhyLabs
Detects when Claude drifts off-task during long sessions—addresses real agent supervision pain.
Zero-infrastructure drift detection with a built-in dashboard beats setting up Evidently or Arize.
Threat models that auto-update with your code via AI-maintained annotations.
Enterprise Windows 11 hardening with privilege separation, but O&O ShutUp++ exists.
Contract monitor for LLMs, but lacks real-world context—feels like a research tool masquerading as a product.
Dual-signal drift detection with adaptive thresholds—no classifier or labels needed.