Understanding AI Agents in TeamDay.ai

AI Agents are the core of TeamDay.ai's functionality. They are AI-powered assistants designed to support various team roles and tasks.

Best Practices

1. Clear Naming: Use descriptive names for agents, skills, and tools.
2. Specific Instructions: Provide detailed, unambiguous instructions for agents and skills.
3. Regular Updates: Keep your agents' knowledge and skills current.
4. Security First: When creating custom tools, prioritize security and data protection.

Explore our other guides to learn how to create agents, develop custom tools, and integrate AI effectively into your team's workflow.

Components of an Agent

1. Name

The agent's identifier in chats and listings.

2. Role

A brief description of the agent's primary function, helping users quickly understand its capabilities.

3. Description

A detailed explanation of the agent's purpose and abilities, useful for marketplace listings and user understanding.

4. Instructions

The system message for the Large Language Model (LLM) that defines the agent's behavior and knowledge base.

Skills

Skills are modular additions to an agent's capabilities, allowing for quick customization without creating entirely new agents.

• Name: Identifies the skill in the agent detail view.
• Instructions: Additional directives appended to the agent's base instructions. Only one skill can be active at a time.

Tools

Tools are function calls available to agents, typically running in a secure sandbox environment.

Future Features

Automations (Coming Soon)

Automations will allow agents to perform tasks autonomously at specified times or under certain conditions.

• Name: Identifies the automation in the agent detail view.
• Instruction: Defines when and what the agent should do automatically.