# Feedback Loop

A feedback loop uses outcomes and corrections from prior work to improve a process over time.

## Why it matters

Feedback improves a system only when corrections are captured accurately and fed into a controlled update process. Unchecked loops can reinforce mistakes or bias, especially when model outputs influence the future data used for training or evaluation.

## Example

Editors label why generated briefs were changed; the team reviews patterns monthly and updates retrieval rules and eval cases rather than automatically training on every edit.

## FAQ

### What is Feedback Loop in simple terms?

A feedback loop uses outcomes and corrections from prior work to improve a process over time.

### Why does Feedback Loop matter for teams using AI?

Feedback improves a system only when corrections are captured accurately and fed into a controlled update process. Unchecked loops can reinforce mistakes or bias, especially when model outputs influence the future data used for training or evaluation.

### What is a practical example of Feedback Loop?

Editors label why generated briefs were changed; the team reviews patterns monthly and updates retrieval rules and eval cases rather than automatically training on every edit.


Source: https://www.luffy.so/ai-glossary/feedback-loop

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