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This quick start shows how to create a project, add collaborators, and validate core tabs so your team can start deploying models safely.

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Step 1: Open Projects

  1. Sign in to Bud AI Foundry.
  2. In the left navigation, click Projects.
  3. Click + Project.

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Step 2: Create the Project

  1. Enter a project name, for example: Customer Support AI.
  2. Add a short description and tags.
  3. Pick an icon to make the project easy to identify.
  4. Click Next to create project.
  5. Proceed to the Invite members step.
Use names that map to a product or business capability. This makes routing, access reviews, and observability easier at scale.

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Step 3: Add Members

  1. Open the created project.
  2. Use Share/Invite to add collaborators.
  3. Assign permissions (view/manage) based on responsibilities.
  4. Save changes and verify members appear in the project header or member list.
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Step 4: Validate Project Tabs

Open each core tab and confirm it loads correctly:
  • Deployments
  • Agents
  • Routes
  • Analytics
  • Clusters
  • Observability
  • Guardrails

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Step 5: Prepare for First Deployment

  1. Go to Deployments.
  2. Click Deploy Model (or equivalent action in your environment).
  3. Select a model and target cluster.
  4. Review status once deployment starts.
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Step 6: Configure Baseline Reliability

After deployment is active, open deployment Settings and configure:
  • Rate limiting
  • Retry/fallback behavior
  • Autoscaling bounds (minimum/maximum replicas)
You now have a project ready for production-oriented workflows. 🎉

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Next Steps

Project Concepts

Learn how projects map to permissions, operations, and governance

Troubleshooting

Resolve common issues when creating and managing projects