> For the complete documentation index, see [llms.txt](https://innuendopi.gitbook.io/brautomat32/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://innuendopi.gitbook.io/brautomat32/info-3/steps.md).

# AutoTune step by step

> **Safety note:** Before the first heating run, complete the [safety check before the first heat test](/brautomat32/info/safety-check-first-heat-test.md).

The practical AutoTune workflow:

![AutoTune](https://4263638218-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fcd8WaQiNhLpQ99hwjXzs%2Fuploads%2Fgit-blob-65f4f6236fac29a1dd1dc4063183ed4dfaa904d8%2FIDS-AutoTune.jpg?alt=media)

1. Fill your mash kettle with a typical amount of water.

   a. A typical amount corresponds to your usual brew-day fill: strike water plus grain bill.

   Example: 16 l strike water and 4 kg grain bill result in a typical AutoTune amount of 20 l water.

   b. Water temperature should be around 50°C (40°C to 55°C).

   c. Turn on the agitator.
2. Enter the typical volume in `Kettle volume in liters`.
3. Enable `PID AutoTune`.
4. Enable `AutoTune debug`.
5. Save the setting.
6. Start AutoTune with the power button.

![AutoTune2](https://4263638218-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fcd8WaQiNhLpQ99hwjXzs%2Fuploads%2Fgit-blob-31b00f2936cde720a2578898b5e00a8c4db805f7%2FIDS-AutoTune-start.jpg?alt=media)

AutoTune takes about 5 minutes and stops automatically. The detected system parameters are saved automatically. The AutoTune result is dead time `L` and slope `R`. PID values are derived from these values.

When AutoTune is complete and `AutoTune debug` is enabled, use the file explorer to inspect `autotune_log.txt`. This file records the full process. The files `idsAutoTune.txt`, `sudAutoTune.txt`, and `hltAutoTune.txt` contain the AutoTune result as JSON. They are informational and are not required for normal operation.