diff --git a/vignettes/introduction.qmd b/vignettes/introduction.qmd
index 4f9821e5..3159337f 100644
--- a/vignettes/introduction.qmd
+++ b/vignettes/introduction.qmd
@@ -63,21 +63,19 @@ earlier.
 tinyplot(Temp ~ Day, data = aq)  # formula method
 ```
 
-### Aside: `plt` shorthand
+::: {.callout-tip}
+## Tip: `plt()` shorthand alias
 
-If you'd prefer to save on a few keystrokes, you can use the shorthand `plt`
-alias instead of typing out `tinyplot`.
+Use the `plt()` alias instead of `tinyplot()` to save yourself a few keystrokes.
+For example:
 
 ```{r plt_simple}
-plt(Temp ~ Day, data = aq) # `plt` = shorthand alias for `tinyplot`
+#| eval: false
+plt(Temp ~ Day, data = aq)
 ```
 
-Please note that the `plt` shorthand would work for all of the remaining
-plot calls below. But we'll stick to `tinyplot` to avoid any potential
-confusion.
-
-::: {.callout-tip}
-Use the `plt()` alias instead of `tinyplot()` to save yourself a few keystrokes.
+Feel free to try this shorthand with any of the plots that follow; `tinyplot(<args>)`
+and `plt(<args>)` should produce identical results.
 :::
 
 ## Grouped data
@@ -443,7 +441,7 @@ become verbose since it requires users to make very similar successive calls,
 with many shared arguments.
 
 For this reason, the **tinyplot** package provides a special
-`tinyplot_add()` (alias `plt_add()`) convenience function for adding layers to
+`tinyplot_add()` convenience function for adding layers to
 an existing tinyplot. The idea is that users need simply pass the _specific_
 arguments that they want to add or modify relative to the base layer, and all
 arguments will be inherited from the original.
@@ -469,6 +467,18 @@ tinyplot(
 tinyplot_add(type = "lm")
 ```
 
+::: {.callout-tip}
+## Tip: `plt_add()` shorthand alias
+
+Much like `plt()` is an alias for `tinyplot()`, you can save yourself a few
+keystrokes by typing `plt_add()` instead of `tinyplot_add()`:
+
+```{r plt_add}
+#| eval: false
+plt_add(type = "lm")
+```
+:::
+
 A related---but distinct---concept to adding plot layers is _drawing_ on a plot.
 The canonical use case is annotating your plot with text or some other
 function-based (rather than data-based) logic. For example, you may want to