# Experiments Index

> Status: Experiment index
> Audience: Team, AI agents
> Purpose: Entry point into dated experiment logs, evaluations, retrains, and
> benchmark changes

Use this folder for dated, narrative experiment notes:

- benchmark changes
- evaluation rounds
- retraining results
- acquisition-wave measurements
- autoresearch observations and decisions

## Current logs

- [2026-03-17 — ML detection iteration log](2026-03-17-ml-detection-iteration-log.md)
- [2026-03-20 — Multi-instance evaluation and improvement](2026-03-20-multi-instance-eval-and-improvement.md)
- [2026-03-21 — Anonymous holdout rework](2026-03-21-anonymous-holdout-rework.md)
- [2026-03-21 — Acquisition wave retrain and evaluation](2026-03-21-acquisition-wave-retrain.md)

## Recommended log shape

Each experiment note should stay compact and follow the same structure:

1. Context
2. Problem or goal
3. Commands run
4. Results
5. Interpretation
6. Decision or next step

```{toctree}
:hidden:

2026-03-17-ml-detection-iteration-log
2026-03-20-multi-instance-eval-and-improvement
2026-03-21-anonymous-holdout-rework
2026-03-21-acquisition-wave-retrain
```