For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
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DocumentationEvals API ReferenceIntegrations & OTELPlatform SettingsSelf-HostingChangelog
DocumentationEvals API ReferenceIntegrations & OTELPlatform SettingsSelf-HostingChangelog
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On this page
  • Managing Projects
  • Why Multiple Projects?
  • Common Project Structures
Organization Settings

Projects

View and manage all projects within your organization from a central location.
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Users

Manage users across your organization and control their access to projects.
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View and manage all projects in your organization. Each project card shows the project name and the number of members with access.

Managing Projects

To manage projects:

  1. Navigate to Organization Settings → Projects
  2. Use the search bar to find a specific project
  3. Click on a project card to open it
  4. Click Create New Project to add a new project

Why Multiple Projects?

Projects provide data isolation within your organization. All data—test cases, metrics, datasets, traces, and more—is separated at the project level. Users from one project cannot access data in projects they don’t belong to, even if they’re in the same organization.

Data Organization in Confident AI
Data Organization and Separation in Confident AI

Create a separate project for each distinct AI use case, even when multiple use cases share the same codebase or business logic. This keeps datasets and metrics organized and prevents accidental cross-contamination of evaluation data.

Common Project Structures

  • By use case — One project per AI application (e.g., “Customer Support Bot”, “Document Summarizer”)
  • By team — One project per team working on AI features
  • By environment — Separate projects for development, staging, and production evaluations