Introduction
AI agents are the core of the Qamaq platform. Each agent acts as a personal assistant that understands your role, has access to your organization's knowledge base, and can help automate routine tasks.
This guide will walk you through creating and configuring your first AI agent. By the end, you'll have a fully functional agent ready to assist with your daily workflows.
Prerequisites
- A Qamaq account with admin or user privileges
- Access to your organization's workspace
- Basic understanding of your role and responsibilities
- Optional: Files or documents to upload to the knowledge base
Step 1: Create Your Agent
Creating an agent is simple and takes just a few minutes. Follow these steps to get started:
- 1Navigate to the AI Agents section in your dashboard
- 2Click the 'Create New Agent' button in the top right
- 3Give your agent a descriptive name (e.g., 'Marketing Assistant', 'Project Manager')
- 4Select the department and role this agent will support
Note
Agent names should be descriptive and reflect their primary function. You can always change the name later in settings.
Step 2: Configure Agent Settings
Now that you've created your agent, it's time to configure its settings and permissions:
- 1Choose the LLM model your agent will use (GPT-4, Claude, or your organization's custom model)
- 2Set the agent's knowledge base access level (department-wide, team-specific, or custom)
- 3Configure automation permissions (what tasks the agent can perform automatically)
- 4Define notification preferences (when and how the agent should alert you)
Step 3: Train Your Agent
Training your agent helps it understand your specific workflows and preferences:
- 1Upload relevant documents, procedures, and guidelines to the knowledge base
- 2Have a conversation with your agent about your typical daily tasks
- 3Provide feedback on the agent's responses to improve accuracy
Pro Tip
The more you interact with your agent and provide feedback, the better it becomes at understanding your needs and preferences.
Troubleshooting Common Issues
Agent not responding or timing out
Solution: Check your internet connection and ensure the LLM service is operational in the status page. If the problem persists, try refreshing the page or contact support.
Agent lacks access to certain knowledge base files
Solution: Verify the agent's permission settings and ensure the files are properly categorized in folders the agent has access to.
Agent responses are not accurate or helpful
Solution: Provide more context in your prompts and use the feedback feature to train the agent. Consider uploading more relevant documents to the knowledge base.
Next Steps
Congratulations! Your AI agent is now set up and ready to assist you. Here are some recommended next steps:
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