diff --git a/.github/scripts/smoke_install.sh b/.github/scripts/smoke_install.sh
index c09f2ad..7d84f65 100644
--- a/.github/scripts/smoke_install.sh
+++ b/.github/scripts/smoke_install.sh
@@ -7,8 +7,8 @@
 set -e
 
 if [ "$PYTHON_VERSION" = "3.12" ]; then
-  pip install ./PyAutoConf "./PyAutoFit[optional]"
+  pip install ./PyAutoNerves "./PyAutoFit[optional]"
 else
-  pip install ./PyAutoConf ./PyAutoFit
+  pip install ./PyAutoNerves ./PyAutoFit
 fi
 pip install nautilus-sampler
diff --git a/.github/workflows/smoke_tests.yml b/.github/workflows/smoke_tests.yml
index e21998b..2eb2a1e 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"
+      chain: "PyAutoNerves PyAutoFit"
     secrets: inherit
diff --git a/AGENTS.md b/AGENTS.md
index ed9d8a5..ba73765 100644
--- a/AGENTS.md
+++ b/AGENTS.md
@@ -4,7 +4,7 @@ This is the integration-test suite for **PyAutoFit**, run on the build server to
 library works end-to-end. It is **not** a user-facing workspace — see `../autofit_workspace` for
 examples and tutorials. These are the canonical, agent-agnostic instructions for this repo.
 
-Dependencies: `autofit` (and `autoconf`).
+Dependencies: `autofit` (and `autonerves`).
 
 ## Repository Structure
 
@@ -70,7 +70,7 @@ write from a header skim silently deletes every section below the header.
 
 ## Related Repos
 
-- Source libs: `../PyAutoFit`, `../PyAutoConf`.
+- Source libs: `../PyAutoFit`, `../PyAutoNerves`.
 - `../autofit_workspace` — the user-facing workspace; `../HowToFit` — the tutorial series.
 - `../PyAutoHands` — CI / build tooling.
 
diff --git a/scripts/features/latent_nan_robustness.py b/scripts/features/latent_nan_robustness.py
index 0c8f64b..0679d2c 100644
--- a/scripts/features/latent_nan_robustness.py
+++ b/scripts/features/latent_nan_robustness.py
@@ -14,7 +14,7 @@
 This script uses a two-latent ``af.ex.Analysis`` subclass (the shipped example
 analysis has a single latent; two latents exercise the additional
 ``zip(LATENT_KEYS, values)`` mis-alignment that a dropped column causes). The
-``PYAUTO_LATENT_NAN_INJECT=stride:N`` knob (``autoconf.test_mode``) sets NaN on
+``PYAUTO_LATENT_NAN_INJECT=stride:N`` knob (``autonerves.test_mode``) sets NaN on
 latent column 0 (``gaussian.fwhm``) for every sample whose absolute index is a
 non-zero multiple of ``N``. With ``N >= batch_size`` batch 0 stays finite and
 seeds the model with both keys; a later batch loses column 0.