Integrations

Supercharge Unity Cloud Build with Relevance AI

Unity Cloud Build is a cloud-based continuous integration service that automates the build process for Unity-based games and applications.

Enhance your build pipeline with AI agents that can monitor quality, analyze performance, and streamline deployment.

Give your AI Agents Unity Cloud Build Superpowers

Unity Cloud Build automates game development build processes across multiple platforms. Relevance AI enhances this with intelligent AI agents that can monitor, analyze, and optimize the build pipeline.

Automated Quality Assurance

The agent conducts thorough testing of builds, identifying bugs and performance issues automatically.

Real-Time Monitoring

The agent provides instant feedback on build processes, alerting developers to potential issues as they arise.

Data-Driven Insights

The agent analyzes build logs and performance metrics to deliver actionable insights for improvement.

Tools

Equip AI Agents with the Unity Cloud Build Tools they need

Relevance AI gives you access to Unity Cloud Build's capabilities within your AI agent workflows.

Security & Reliability

The integration leverages OAuth authentication to securely connect with Unity Cloud Build, managing API operations seamlessly in the background. Relevance AI handles request methods, paths, and authorization headers automatically—eliminating common integration hurdles.

Built-in request validation and response handling ensure reliable builds and deployments, even with complex project configurations.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

To get the most out of the Unity Cloud Build + Relevance AI integration without writing code:
  • Configure OAuth properly: Ensure correct Unity Cloud Build account permissions are set for API access.
  • Use consistent API paths: Maintain organized endpoint structures for build automation workflows.
  • Monitor build status: Implement proper status checking to track build progress and completion.
  • Handle responses carefully: Process API response bodies appropriately to capture build artifacts.
  • Respect API limits: Space out build requests and implement proper error handling for rate limits.