diff --git a/docs/mkdocs/how-to/analyze-evals.md b/docs/mkdocs/how-to/analyze-evals.md
index 1b4ce5b..0608357 100644
--- a/docs/mkdocs/how-to/analyze-evals.md
+++ b/docs/mkdocs/how-to/analyze-evals.md
@@ -1,4 +1,4 @@
-# Test the cross-brain effect from evals
+# Interpret the cross-brain effect from evals
 
 You have run [`encoding analyze`](../reference/encoding.md) a few times and have a
 handful of eval files. This guide turns them into an answer to the question
diff --git a/docs/mkdocs/tutorials/walkthrough.md b/docs/mkdocs/tutorials/walkthrough.md
index c41f5e1..c7fc145 100644
--- a/docs/mkdocs/tutorials/walkthrough.md
+++ b/docs/mkdocs/tutorials/walkthrough.md
@@ -59,7 +59,7 @@ its inputs from the directory layout; you never pass individual file paths.
 Whisper speech-recognition model.
 
 ```bash
-hypline transcribe data/ --audio-ext .wav --model tiny
+hypline transcribe data/ --audio-ext .wav --model small
 ```
 
 ```text
@@ -79,7 +79,7 @@ and voice-activity-detection messages.)
     learning the workflow rather than analyzing the transcripts. For a real analysis,
     omit `--model` to use the default `large-v2`, which is far more accurate but a
     multi-GB download and much slower on CPU (pass `--device cuda` if you have a
-    GPU).
+    GPU). -- to be updated
 
 Only four files are transcribed, not one per run. These are the
 reading-condition subset from [step 1](#1-get-the-example-dataset): each run's
@@ -446,7 +446,7 @@ choices side by side.
     demonstrate the *effect*, since two runs of `--model tiny` transcripts are far
     too little data for the cross-brain scores to mean anything. On a full study
     they carry the shared-representation signal; here they only confirm the
-    command runs end to end.
+    command runs end to end. -- to be updated
 
 !!! success "Check"