diff --git a/.github/scripts/smoke_install.sh b/.github/scripts/smoke_install.sh
index 3b7c8ef..276eea0 100755
--- a/.github/scripts/smoke_install.sh
+++ b/.github/scripts/smoke_install.sh
@@ -11,8 +11,8 @@ sudo apt-get update && sudo apt-get install -y libgsl-dev
 pip install numpy cython
 pip install arcticpy==2.6 --no-build-isolation --no-deps
 
-pip install ./PyAutoConf ./PyAutoFit ./PyAutoArray ./PyAutoCTI
+pip install ./PyAutoNerves ./PyAutoFit ./PyAutoArray ./PyAutoCTI
 pip install "./PyAutoArray[optional]"
-# The re-resolution above can upgrade autoconf to the stale PyPI release;
-# pin the local source last so recent autoconf APIs are importable.
-pip install --force-reinstall --no-deps ./PyAutoConf
+# The re-resolution above can upgrade autonerves to the stale PyPI release;
+# pin the local source last so recent autonerves APIs are importable.
+pip install --force-reinstall --no-deps ./PyAutoNerves
diff --git a/.github/workflows/smoke_tests.yml b/.github/workflows/smoke_tests.yml
index 345dc56..24d2165 100644
--- a/.github/workflows/smoke_tests.yml
+++ b/.github/workflows/smoke_tests.yml
@@ -11,5 +11,5 @@ jobs:
   smoke:
     uses: PyAutoLabs/PyAutoHeart/.github/workflows/smoke-tests.yml@main
     with:
-      chain: "PyAutoConf PyAutoFit PyAutoArray PyAutoCTI"
+      chain: "PyAutoNerves PyAutoFit PyAutoArray PyAutoCTI"
     secrets: inherit
diff --git a/AGENTS.md b/AGENTS.md
index 8cc83da..1c19ef2 100644
--- a/AGENTS.md
+++ b/AGENTS.md
@@ -30,7 +30,7 @@ python scripts/dataset_1d/model_fit.py  # one script, real search (no env applie
 ```
 
 CI runs the smoke list through PyAutoHeart's reusable smoke workflow (thin caller in
-`.github/workflows/smoke_tests.yml`, chain `PyAutoConf PyAutoFit PyAutoArray PyAutoCTI`; the
+`.github/workflows/smoke_tests.yml`, chain `PyAutoNerves PyAutoFit PyAutoArray PyAutoCTI`; the
 arcticpy build lives in `.github/scripts/smoke_install.sh`).
 
 ## Conventions
diff --git a/legacy/tvac/calibrate.py b/legacy/tvac/calibrate.py
index 51b42e7..d705b16 100644
--- a/legacy/tvac/calibrate.py
+++ b/legacy/tvac/calibrate.py
@@ -72,7 +72,7 @@
  different CTI models to the dataset.
 
  Model-fitting is handled by our project **PyAutoFit**, a probablistic programming language for non-linear model
- fitting. The setting up on configuration files is performed by our project **PyAutoConf**. We'll need to import
+ fitting. The setting up on configuration files is performed by our project **PyAutoNerves**. We'll need to import
  both to perform the model-fit.
 
  In this script, we will fit charge injection imaging which has been subjected to CTI, where:
@@ -214,7 +214,7 @@
  different CTI models to the dataset.
 
  Model-fitting is handled by our project **PyAutoFit**, a probablistic programming language for non-linear model
- fitting. The setting up on configuration files is performed by our project **PyAutoConf**. We'll need to import
+ fitting. The setting up on configuration files is performed by our project **PyAutoNerves**. We'll need to import
  both to perform the model-fit.
 
  In this script, we will fit charge injection imaging which has been subjected to CTI, where:
diff --git a/legacy/tvac/serial_x1.py b/legacy/tvac/serial_x1.py
index 8c840c3..edfea2b 100644
--- a/legacy/tvac/serial_x1.py
+++ b/legacy/tvac/serial_x1.py
@@ -89,7 +89,7 @@
  different CTI models to the dataset.
 
  Model-fitting is handled by our project **PyAutoFit**, a probablistic programming language for non-linear model
- fitting. The setting up on configuration files is performed by our project **PyAutoConf**. We'll need to import
+ fitting. The setting up on configuration files is performed by our project **PyAutoNerves**. We'll need to import
  both to perform the model-fit.
 
  In this script, we will fit charge injection imaging which has been subjected to CTI, where: