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@@ -0,0 +1 @@
+3.11.2 
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diff --git a/README.md b/README.md
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--- a/README.md
+++ b/README.md
@@ -23,110 +23,14 @@ git clone https://github.com/yourusername/vibeline.git
 cd vibeline
 ```
 
-2. Create and activate a virtual environment:
+2. Make sure you have Python 3.11.2 installed. The project uses `.python-version` to specify the required Python version.
+
+3. Run the setup script:
 ```bash
-python -m venv vibenv
-[ -d "vibenv" ] && source vibenv/bin/activate  # On Windows: vibenv\Scripts\activate
-```
-
-3. Install dependencies:
-```bash
-pip install -r requirements.txt
-```
-
-4. Copy the example environment file and edit it with your settings:
-```bash
-cp .env.example .env
-```
-
-5. Make sure you have [Ollama](https://ollama.ai) installed and running.
-
-## Usage
-
-### Basic Usage
-
-1. Place your voice memo (`.m4a` file) in the `VoiceMemos` directory
-2. Process the voice memo:
-```bash
-./process.sh VoiceMemos/your_memo.m4a
+./setup.sh
 ```
 
 This will:
-1. Transcribe the audio
-2. Extract content based on active plugins
-3. Save outputs in organized directories
-
-### Directory Structure
-
-```
-VoiceMemos/
-├── transcripts/     # Voice memo transcripts
-├── summaries/       # Generated summaries
-├── blog_posts/      # Generated blog posts
-├── app_ideas/      # Generated app ideas
-└── action_items/  # Generated action items
-```
-
-## Plugin System
-
-VibeLine uses a flexible YAML-based plugin system for content extraction. Each plugin is defined in a YAML file with the following structure:
-
-```yaml
-name: plugin_name
-description: What the plugin does
-model: llama2  # Optional, falls back to ENV default
-type: or       # Comparison type: 'and' or 'or'
-run: matching  # When to run: 'always' or 'matching'
-output_extension: .txt  # Optional, defaults to .txt
-prompt: |
-  Your prompt template here.
-  Use {transcript} for the transcript content.
-  Use {summary} for the summary content.
-```
-
-### Plugin Types
-
-- **Run Types**:
-  - `always`: Plugin runs for every transcript
-  - `matching`: Plugin runs only when keywords match
-
-- **Comparison Types**:
-  - `or`: Runs if any keyword matches
-  - `and`: Runs only if all keywords match
-
-### Creating a New Plugin
-
-1. Create a new YAML file in the `plugins` directory
-2. Define the plugin configuration
-3. Add your prompt template
-4. The plugin will be automatically loaded on the next run
-
-### Example Plugin
-
-```yaml
-name: blog_post
-description: Generate draft blog posts from transcripts
-model: llama2
-type: or
-run: matching
-output_extension: .md
-prompt: |
-  Based on the following transcript, create a blog post...
-
-  Transcript:
-  {transcript}
-```
-
-## Environment Variables
-
-- `OLLAMA_EXTRACT_MODEL`: Default model for content extraction
-- `OLLAMA_SUMMARIZE_MODEL`: Default model for summarization
-- `VOICE_MEMOS_DIR`: Directory for voice memos (default: "VoiceMemos")
-
-## Contributing
-
-Contributions are welcome! Please feel free to submit a Pull Request.
-
-## License
-
-This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
+- Create a virtual environment named `vibenv`
+- Activate the virtual environment
+- Install all required dependencies
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