diff --git a/README.md b/README.md
index 695909d1..a4bd8421 100644
--- a/README.md
+++ b/README.md
@@ -96,34 +96,6 @@ print(hello_world.random_number)
 An overview of all the ZnTrack features as well as more detailed examples can be
 found in the [ZnTrack Documentation](https://zntrack.readthedocs.io/en/latest/).
 
-## Wrap Python Functions
-
-ZnTrack also provides tools to convert a Python function into a DVC Node. This
-approach is much more lightweight compared to the class-based approach with only
-a reduced set of functionality. Therefore, it is recommended for smaller nodes
-that do not need the additional toolset that the class-based approach provides.
-
-```python
-from zntrack import nodify, NodeConfig
-import pathlib
-
-@nodify(outs=pathlib.Path("text.txt"), params={"text": "Lorem Ipsum"})
-def write_text(cfg: NodeConfig):
-    cfg.outs.write_text(
-        cfg.params.text
-    )
-# build the DVC graph
-with zntrack.Project() as project:
-    write_text()
-project.run()
-```
-
-The `cfg` dataclass passed to the function provides access to all configured
-files and parameters via [dot4dict](https://github.com/zincware/dot4dict). The
-function body will be executed by the `dvc repro` command or if ran via
-`write_text(run=True)`. All parameters are loaded from or stored in
-`params.yaml`.
-
 # Technical Details
 
 ## ZnTrack as an Object-Relational Mapping for DVC