diff --git a/installer/client/cli/README.md b/installer/client/cli/README.md
index c512e84..eb0b15b 100644
--- a/installer/client/cli/README.md
+++ b/installer/client/cli/README.md
@@ -1,69 +1,3 @@
 # The `fabric` client
 
-This is the primary `fabric` client, which has multiple modes of operation.
-
-## Client modes
-
-You can use the client in three different modes:
-
-1. **Local Only:** You can use the client without a server, and it will use patterns it's downloaded from this repository, or ones that you specify.
-2. **Local Server:** You can run your own version of a Fabric Mill locally (on a private IP), which you can then connect to and use.
-3. **Remote Server:** You can specify a remote server that your client commands will then be calling.
-
-## Client features
-
-1. Standalone Mode: Run without needing a server.
-2. Clipboard Integration: Copy responses to the clipboard.
-3. File Output: Save responses to files for later reference.
-4. Pattern Module: Utilize specific patterns for different types of analysis.
-5. Server Mode: Operate the tool in server mode to control your own patterns and let your other apps access it.
-
-## Installation
-
-Please check our main [setting up the fabric commands](./../../../README.md#setting-up-the-fabric-commands) section.
-
-## Usage
-
-To use `fabric`, call it with your desired options (remember to activate the virtual environment with `poetry shell` - step 5 above):
-
-fabric [options]
-Options include:
-
---pattern, -p: Select the module for analysis.
---stream, -s: Stream output to another application.
---output, -o: Save the response to a file.
---copy, -C: Copy the response to the clipboard.
---context, -c: Use Context file (context.md) to add context to your pattern
-
-Example:
-
-```bash
-# Pasting in an article about LLMs
-pbpaste | fabric --pattern extract_wisdom --output wisdom.txt | fabric --pattern summarize --stream
-```
-
-```markdown
-ONE SENTENCE SUMMARY:
-
-- The content covered the basics of LLMs and how they are used in everyday practice.
-
-MAIN POINTS:
-
-1. LLMs are large language models, and typically use the transformer architecture.
-2. LLMs used to be used for story generation, but they're now used for many AI applications.
-3. They are vulnerable to hallucination if not configured correctly, so be careful.
-
-TAKEAWAYS:
-
-1. It's possible to use LLMs for multiple AI use cases.
-2. It's important to validate that the results you're receiving are correct.
-3. The field of AI is moving faster than ever as a result of GenAI breakthroughs.
-```
-
-## Contributing
-
-We welcome contributions to Fabric, including improvements and feature additions to this client.
-
-## Credits
-
-The `fabric` client was created by Jonathan Dunn and Daniel Meissler.
+Please see the main project's README.md for the latest documentation.