Multi-Agent Feedback Loops

# ⚙️ Setup Guide
## This is a workflow for user's customization.
### 🧑‍💻 Author: [Sebastian/OptiLever](www.linkedin.com/in/sebastian-9ab9b9242)

### 🚀 Prerequisite:

**1. Connect to Openai API account.**


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### 🚀 Steps to Connect:


1. **Edit Fields Node Setup (Initial)**
- Locate the **"Edit Fields"** node at the beginning of the workflow.
- **Edit the following fields:**
- Ensure the input field **"ideas"** is set as an array.
- Add a field **"turn"** to track the number of loop iterations (default value: 1).
- Add a field **"done"** to track if the evaluation is complete (default value: false).



2. **Critic Agent Setup**
- Configure the **"Critic Agent"** node to analyze the input and provide feedback.
- Ensure the output is structured to include suggestions for improvements.



3. **Refiner Agent Setup**
- Configure the **"Refiner Agent"** node to use the original input and critic feedback.
- Ensure the output is an improved version of the input (e.g., three improved names and taglines).



4. **Evaluation Agent Setup**
- Configure the **"Evaluation Agent"** node to rank the refined outputs.
- Ensure the output includes a **"done"** field indicating if the result is satisfactory.



5. **Edit Fields Node Setup (Final)**
- Ensure the final **"Edit Fields"** node matches the structure of the initial input.
- This ensures the loop can process the data correctly in each iteration.



6. **If Node Setup**
- Configure the **"If"** node to check if **"turn"** exceeds a threshold (e.g., 5) or if **"done"** is true.
- If true, exit the loop and proceed to the next step in the workflow.



7. **Optional: Additional AI Agents**
- Add additional AI agents after the loop to further process the final output.


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