diff --git a/README.md b/README.md
index e566fd7..fab56fc 100644
--- a/README.md
+++ b/README.md
@@ -10,7 +10,7 @@ working across different projects via [VisualMode](https://www.visualmode.dev/).
 
 For a steady stream of TILs, [sign up for my newsletter](https://visualmode.kit.com/newsletter).
 
-_1763 TILs and counting..._
+_1764 TILs and counting..._
 
 See some of the other learning resources I work on:
 
@@ -1063,6 +1063,7 @@ If you've learned something here, support my efforts writing daily TILs by
 - [Store And Access Immutable Data In A Tuple](python/store-and-access-immutable-data-in-a-tuple.md)
 - [Test A Function With Pytest](python/test-a-function-with-pytest.md)
 - [Use pipx To Install End User Apps](python/use-pipx-to-install-end-user-apps.md)
+- [Use `__post_init__` For `dataclass` Validations](python/use-post-init-for-dataclass-validations.md)
 - [Use Verbose Flag To Get More Diff](python/use-verbose-flag-to-get-more-diff.md)
 
 ### Rails
diff --git a/python/use-post-init-for-dataclass-validations.md b/python/use-post-init-for-dataclass-validations.md
new file mode 100644
index 0000000..c56f91c
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+++ b/python/use-post-init-for-dataclass-validations.md
@@ -0,0 +1,54 @@
+# Use `__post_init__` For `dataclass` Validations
+
+The [`dataclass`](https://docs.python.org/3/library/dataclasses.html) construct
+is a handy stdlib way of modeling some data with many improvements over a `dict`
+such as named attributes and type visibility.
+
+```python
+from dataclasses import dataclass
+from typing import ClassVar
+
+@dataclass
+class BPEConfig:
+    BASE_VOCAB_SIZE: ClassVar[int] = 256
+
+    vocab_size: int
+    special_tokens: list[str]
+```
+
+I want to enhance `BPEConfig` a little by validating the `vocab_size` which
+cannot be less than the `BASE_VOCAB_SIZE`. The
+[`__post_init__`](https://docs.python.org/3/library/dataclasses.html#dataclasses.__post_init__)
+method is a good place for this kind of validation.
+
+```python
+from dataclasses import dataclass
+from typing import ClassVar
+
+@dataclass
+class BPEConfig:
+    BASE_VOCAB_SIZE: ClassVar[int] = 256
+
+    vocab_size: int
+    special_tokens: list[str]
+
+    def __post_init__(self):
+        if self.vocab_size < self.BASE_VOCAB_SIZE:
+            msg = f"vocab_size ({self.vocab_size}) must be greater than or equal to BASE_VOCAB_SIZE ({self.BASE_VOCAB_SIZE})"
+            raise ValueError(msg)
+```
+
+With this in place, my program will fail fast if I try to use an invalid
+`vocab_size`:
+
+```python
+>>> BPEConfig(22, [])
+Traceback (most recent call last):
+  File "<stdin>", line 1, in <module>
+  File "<string>", line 5, in __init__
+  File "/Users/lastword/dev/misc/build-an-llm/chapter_02/bpe_tokenizer.py", line 24, in __post_init__
+    raise ValueError(msg)
+ValueError: vocab_size (22) must be greater than or equal to BASE_VOCAB_SIZE (256)
+```
+
+This example is pulled directly from [the `BPETokenizer` I'm building](https://github.com/jbranchaud/build-an-llm-from-scratch/blob/d3fd0acd65c3e7419b2d15a64c8d74266d0488f6/chapter_02/bpe_tokenizer.py#L14-L24).