diff --git a/usage/automatic-differentiation/index.qmd b/usage/automatic-differentiation/index.qmd
index c81a746a3..2f583facb 100755
--- a/usage/automatic-differentiation/index.qmd
+++ b/usage/automatic-differentiation/index.qmd
@@ -23,7 +23,7 @@ You can switch between these using the unified [ADTypes.jl](https://github.com/S
 For example, to use the [Mooncake.jl](https://github.com/compintell/Mooncake.jl) package for AD, you can run the following:
 
 ```{julia}
-# Turing re-exports AutoForwardDiff, AutoReverseDiff, and AutoMooncake.
+# Turing re-exports AutoEnzyme, AutoForwardDiff, AutoReverseDiff, and AutoMooncake.
 # Other ADTypes must be explicitly imported from ADTypes.jl or
 # DifferentiationInterface.jl.
 using Turing
@@ -54,8 +54,7 @@ In principle, any AD library that DI provides an interface for can be used with
 
 Note, however, that not all AD libraries in there are thoroughly tested on Turing models.
 Thus, it is possible that some of them will either error (because they don't know how to differentiate through Turing's code), or maybe even silently give incorrect results (if you are very unlucky).
-Turing is most extensively tested with **ForwardDiff.jl** (the default), **ReverseDiff.jl**, and **Mooncake.jl**.
-We also run a smaller set of tests with Enzyme.jl.
+Turing is most extensively tested with **ForwardDiff.jl** (the default), **Enzyme.jl**, **Mooncake.jl**, and **ReverseDiff.jl**.
 
 ::: {.callout-note}
 ## Gradient preparation