diff --git a/README.md b/README.md
index df7905d..f004c96 100644
--- a/README.md
+++ b/README.md
@@ -5,7 +5,7 @@
 [![Tests](https://github.com/simonw/llm-jq/actions/workflows/test.yml/badge.svg)](https://github.com/simonw/llm-jq/actions/workflows/test.yml)
 [![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/llm-jq/blob/main/LICENSE)
 
-Write and execute jq programs with the help of LLM
+Write and execute Python scripts with the help of LLM
 
 See [Run a prompt to generate and execute jq programs using llm-jq](https://simonwillison.net/2024/Oct/27/llm-jq/) for background on this project.
 
@@ -13,15 +13,15 @@ See [Run a prompt to generate and execute jq programs using llm-jq](https://simo
 
 Install this plugin in the same environment as [LLM](https://llm.datasette.io/).
 ```bash
-llm install llm-jq
+llm install llm-py
 ```
 ## Usage
 
-Pipe JSON directly into `llm jq` and describe the result you would like:
+Pipe JSON directly into `llm py` and describe the result you would like:
 
 ```bash
 curl -s https://api.github.com/repos/simonw/datasette/issues | \
-  llm jq 'count by user.login, top 3'
+  llm py 'count by user login, top 3'
 ```
 Output:
 ```json
@@ -43,12 +43,12 @@ Output:
 ```
 group_by(.user.login) | map({login: .[0].user.login, count: length}) | sort_by(-.count) | .[0:3]
 ```
-The JSON is printed to standard output, the jq program is printed to standard error.
+The JSON is printed to standard output, the Python script is printed to standard error.
 
 Options:
 
-- `-s/--silent`: Do not print the jq program to standard error
-- `-o/--output`: Output just the jq program, do not run it
+- `-s/--silent`: Do not print the Python script to standard error
+- `-o/--output`: Output just the Python script, do not run it
 - `-v/--verbose`: Show the prompt sent to the model and the response
 - `-m/--model X`: Use a model other than the configured LLM default model
 - `-l/--length X`: Use a length of the input other than 1024 as the example
@@ -58,8 +58,9 @@ By default, the first 1024 bytes of JSON will be sent to the model as an example
 ## Development
 
 To set up this plugin locally, first checkout the code. Then create a new virtual environment:
+
 ```bash
-cd llm-jq
+cd llm-py
 python -m venv venv
 source venv/bin/activate
 ```