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Introduction to Projects

Overview​

Welcome to the Projects documentation for the ai12z platform. Projects are the foundational element within ai12z, representing individual AI copilots tailored for specific use cases within your organization. Whether you're deploying an AI assistant on a public website, creating an internal support bot for HR or IT, or developing specialized AI applications, projects in ai12z help you organize and manage these AI solutions effectively.

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

What is a Project in ai12z?​

A project in ai12z is a container for all the components and configurations related to a specific AI copilot. It includes everything from the knowledge base and documents that the AI uses to generate responses, to the prompts and settings that define its behavior and tone. By compartmentalizing these elements into projects, ai12z allows for efficient management and scaling of AI copilots across different domains or departments within your organization.

Why Use Projects?​

  • Organization: Keep AI copilots for different purposes separate and organized.
  • Customization: Tailor each copilot's knowledge base, prompts, and settings to its specific use case.
  • Scalability: Easily manage multiple AI copilots as your organization's needs grow.
  • Collaboration: Enable different teams to work on their respective AI copilots without interference.

What's Covered in This Documentation?​

The Projects documentation is structured to guide you through every aspect of managing your projects in ai12z:

  1. Creating a Project: Learn how to set up a new project, including providing essential details and initial configurations.

  2. Project Dashboard: Understand how to navigate and utilize the project dashboard, your central hub for managing each AI copilot.

  3. Project Settings: Discover how to fine-tune your project's settings, including AI models, embeddings, and API keys.

  4. Knowledge Base: Find out how to build and manage a custom knowledge base to enhance your AI's responses.

  5. Prompts: Learn how to craft and customize prompts to define your AI copilot's behavior and tone.

  6. Data Reports: Explore how to analyze user interactions and AI responses to improve performance.

  7. Analytics: Understand how to monitor key metrics and user feedback to assess the effectiveness of your AI copilot.

  8. Test Drive: Get hands-on experience by testing your AI copilot in a simulated environment before deployment.

  9. Logs: Learn how to access and interpret logs for debugging and performance monitoring.

Getting Started​

We recommend starting with the Creating a Project section to set up your first AI copilot. As you progress, each subsequent section will build upon the previous ones, providing you with the knowledge and tools to fully leverage the ai12z platform.

Conclusion​

Projects are at the heart of the ai12z platform, empowering you to create, manage, and optimize AI copilots tailored to your organization's unique needs. This documentation is designed to support you throughout this journey, offering detailed guidance and best practices.

Let's get started and unlock the potential of AI within your organization with ai12z Projects.