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Introduction to Agents

Overview

Agents are the foundational units within ai12z, each representing an individual AI Agent tailored to a specific use case. Whether you're deploying an AI assistant on a public website, building an internal support bot for HR or IT, or developing a specialized AI tool, Agents help you organize, manage, and scale these AI solutions efficiently.

This documentation provides a comprehensive guide on how to create, configure, and optimize Agents within ai12z. By understanding the available features and tools, you can unlock the full potential of the platform to build Agents that meet your organization's unique needs.

What Is an Agent in ai12z?

An Agent in ai12z is a container that holds all components and configurations related to a specific AI Agent. This includes its knowledge base, prompts, tone, integrations, and behavior settings. By compartmentalizing each Agent into its own Agent, ai12z enables clear separation, better control, and easier scaling across departments or domains.

Why Use Agents?

  • Organization: Keep AI Agents for different functions or teams clearly separated and manageable.
  • Customization: Tailor each Agent’s behavior, tone, and knowledge base to its intended use.
  • Scalability: Easily create and manage multiple Agents as your organization’s needs expand.
  • Collaboration: Allow different teams to manage their own Agents without overlapping responsibilities.

What’s Covered in This Documentation?

The Agents documentation is organized to walk you through every aspect of building and managing AI Agents:

  1. Creating an Agent
    Learn how to set up a new Agent, including initial details and configuration steps.

  2. Agent Dashboard
    Get familiar with the dashboard, your central hub for managing each AI Agent.

  3. Agent Settings
    Explore how to adjust AI models, embeddings, API keys, and other core settings.

  4. Knowledge Base
    Understand how to build and maintain a structured knowledge base to enhance responses.

  5. Data Reports
    Learn how to analyze user interactions to improve accuracy and relevance.

  6. Analytics
    Monitor performance metrics and user feedback to refine your AI Agent.

  7. Test Drive
    Try out your AI Agent in a safe, simulated environment before going live.

  8. Logs
    Access and interpret logs for debugging and performance insights.

Getting Started

Start with the Creating an Agent section to set up your first Agent. Each following section builds on this foundation, guiding you through configuration, testing, deployment, and optimization.

Conclusion

Agents are at the core of the ai12z platform, enabling you to design and deploy AI Agents that are aligned with your organization’s specific goals. This documentation is here to support you throughout the process, providing best practices and in-depth guidance at every step.

Let’s get started and bring the power of AI to your organization with ai12z Agents.