diff --git a/README.md b/README.md
index 92ec913..dba0297 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).
 
-_1772 TILs and counting..._
+_1773 TILs and counting..._
 
 See some of the other learning resources I work on:
 
@@ -716,6 +716,7 @@ If you've learned something here, support my efforts writing daily TILs by
 
 ### LLM
 
+- [Count Number Of Tokens In A File](llm/count-number-of-tokens-in-a-file.md)
 - [Send cURL To Claude Text Completion API](llm/send-curl-to-claude-text-completion-api.md)
 - [Use The llm CLI With Claude Models](llm/use-the-llm-cli-with-claude-models.md)
 
diff --git a/llm/count-number-of-tokens-in-a-file.md b/llm/count-number-of-tokens-in-a-file.md
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@@ -0,0 +1,26 @@
+# Count Number Of Tokens In A File
+
+Over time you have accumulated a bunch of small directives, corrections, and
+project details in your `CLAUDE.md` or `AGENTS.md` file. The file doesn't seem
+too big, but you are mindful that it is being included in every prompt. How many
+tokens is it eating from the context window?
+
+OpenAI's BPE (Byte Pair Encoding) tokenization library,
+[`tiktoken`](https://github.com/openai/tiktoken), is an open-source Python
+package. If it is installed on our machine, then we can use it as part of the
+following one-liner to check a file:
+
+```bash
+❯ python -c "import tiktoken, sys; print(len(tiktoken.encoding_for_model('gpt-4o').encode(open(sys.argv[1], 'r', encoding='utf-8').read())))" \
+    AGENTS.md
+1018
+```
+
+I ran this against the `AGENTS.md` file in a team project I'm on. It came out to
+1018 tokens. This is a very good approximation based on the tokenizer trained
+for `gpt-4o`. The tokenizers may vary a little from model to model, but the
+differences for our purposes here are going to be negligible.
+
+This one-liner gets the "first" argument to the command, reads it in, and runs
+that string against the tokenizer. The length of the tokenized encoding is then
+printed.