# Module 6: Hands-on Lab: Building Your First Agent

This module is a practical, step-by-step guide to building your first AI agent in the raiaAI Launch Pad. We will apply the concepts you've learned in the previous modules to create a simple but functional customer support agent.

{% embed url="<https://youtu.be/2YnolPYSfX4>" %}

**Objective:** To build a basic support agent that can answer questions from a small knowledge base and escalate to a human when necessary.

**Materials:**

* Access to the raiaAI Launch Pad
* A sample knowledge base file (provided)
* The instruction template from the raia training materials

**Step 1: Create a New Agent**

1. Log in to the raiaAI Launch Pad.
2. Click on the "Create Agent" button.
3. Name your agent according to the raiaLabs naming convention: "Support Agent - Training - \[Your Name]".
4. Select GPT-4o as the model.
5. Click "Create".

**Step 2: Upload the Knowledge Base**

1. Navigate to the "Training" tab of your new agent.
2. Under "Knowledge Base", click "Upload Files".
3. Upload the provided sample knowledge base file (`training_faq.md`).
4. Wait for the file to be processed and indexed by the vector store.

**Step 3: Create the Instructions**

1. Navigate to the "Instructions" tab.
2. We will use Manus to help us write the instructions. Open a new Manus session and use the following prompt:

**Step 4: Review and Paste the Instructions**

1. Review the instructions generated by Manus. Check that all the requirements from the prompt have been met.
2. Copy the markdown-formatted instructions.
3. Paste them into the "Instructions" field in the raiaAI Launch Pad.

**Step 5: Test Your Agent**

1. Navigate to the "Test" tab.
2. Ask your agent questions based on the `training_faq.md` file. For example:

* "What is the return policy?"
* "How much does the SmartWidget cost?"
* "My SmartWidget won't turn on. What should I do?"

1. Verify that the agent is providing accurate answers and citing the knowledge base file.

**Step 6: Test the Escalation Procedure**

1. Now, test the escalation rules you defined in the instructions. For example:

* "I want to speak to a human."
* "I am extremely frustrated with your service."

1. Verify that the agent responds with the correct escalation message.

**Congratulations!** You have successfully built and tested your first AI agent. This hands-on experience is the foundation upon which you will build more complex and sophisticated agents for our clients. In the next module, we will explore some advanced techniques for prompt engineering.