Skip to content

Human Feedback Loop

This page has moved

The feedback loop is now documented in full — flag, curator gate, episodic memory, re-train and promotion — on Self-Evolving Security.

Geodesia turns everyday usage into a continuous improvement flywheel: a user or reviewer flags a bad decision, a curator approves it, and the correction lands on the timescale that matches it — a threshold, an episodic memory consulted at scoring time, or the model weights.

I want to… Go to…
Understand the whole loop and where each part runs Self-Evolving Security
Raise a flag / review one / export the corpus (API) Self-Evolving Security → REST API
Turn on the episodic memory Self-Evolving Security → the fast loop
Trigger a re-train and promote a checkpoint Self-Evolving Security → the slow loop
Tune a threshold on real traffic instead of correcting one case Policy Lens