Self-Improvement Loop
Drift detection, adaptive retraining, continual learning.
§ 01Summary
The meta-adapter. Watches outcomes across every other adapter, detects performance drift, suggests hyperparameter changes, triggers adaptive retraining and learns continually from interaction logs. This is how 12 becomes 400 without a hiring plan.
§ 02Capabilities
What it does out of the box.
- Meta-learning + autonomous model improvement
- Performance drift detection
- Adaptive retraining trigger
- Hyperparameter optimization suggestion
- Continual learning from interaction logs
§ 03I / O Contract
What you send, what you get back.
Field-level schemas and versioning available under NDA.
Inputs
- Adapter output stream + ground truth
- Reviewer overrides
- Business KPI feed
Outputs
- training_candidate_batches[]
- promotion_ready_models[]
- regression_alerts[]
- hyperparam_suggestions[]
// SAMPLE REQUEST
{
"adapter_id": "LEND.EMB.03",
"window_days": 30
}// SAMPLE RESPONSE
{
"training_candidates": 1180,
"regression_alerts": [],
"hyperparam_suggestions": [
{
"target": "lora_alpha",
"from": 32,
"to": 40
}
],
"promotion_ready": false
}§ 04Use Cases
Where partners are deploying it.
- Internal — ships with the portfolio licence, not sold standalone
// WHEN YOU'RE READY
Single-adapter licence unlocks Self-Improvement Loop for one product. Vertical bundles and full-portfolio access are documented on the Partners page.