diff --git a/docs/src/manual/exporting_to_jax.md b/docs/src/manual/exporting_to_jax.md
index 50014b99e..dc23905a1 100644
--- a/docs/src/manual/exporting_to_jax.md
+++ b/docs/src/manual/exporting_to_jax.md
@@ -59,7 +59,7 @@ end
 Now we define a python script to run the model using EnzymeJAX.
 
 ```python
-from enzyme_ad.jax import primitives
+from enzyme_ad.jax import hlo_call
 
 import jax
 import jax.numpy as jnp
@@ -81,7 +81,7 @@ def run_lux_model(
     weight6_3,
     bias6_3,
 ):
-    return primitives.ffi_call(
+    return hlo_call(
         x,
         weight1,
         bias1,
@@ -93,13 +93,7 @@ def run_lux_model(
         bias6_2,
         weight6_3,
         bias6_3,
-        out_shapes=[
-            jax.core.ShapedArray([4, 10], jnp.float32),
-        ],
-        fn="main",
         source=code,
-        lang=primitives.LANG_MHLO,
-        pipeline_options=primitives.JaXPipeline(""),
     )