Deploying AI applications to live servers with Emergent | Alpha | PandaiTech

Deploying AI applications to live servers with Emergent

A guide to launching your completed application so it can be accessed by real users on the internet.

Learning Timeline
Key Insights

Share vs. Deploy Comparison

The 'Share' feature only provides a temporary link that remains active for 30 minutes. To allow users to access your application at any time, you must use the 'Deploy' function.

Importance of Health Checks

Always run a 'Health check' before clicking 'Start Deployment'. This is an automated AI safety step designed to catch 'deployment blockers' or code bugs that you might have overlooked.

Sandbox Integration Warning

Ensure you are not using 'Stripe sandbox' or test API keys during actual deployment, as this will cause user transactions to fail in the live environment.
Step by Step

AI App Deployment Process to Live Server

  1. Locate the 'Share' button in the top menu if you only need to generate a temporary link (active for 30 minutes) for feedback purposes.
  2. Click the 'Deploy' button at the top of the screen to start the permanent application launch process.
  3. Select the 'Health check' option to run an automated code review and ensure there are no errors blocking the deployment process.
  4. Click the 'Start Deployment' button once the health check process is complete.
  5. Verify the connection status of third-party integrations (such as Stripe) and ensure they have been switched from 'Sandbox' mode to 'Live' mode before finalizing the deployment.

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