Building User-Driven Features with AI Agents and Cloud Automation

Building User-Driven Features with AI Agents and Cloud Automation

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What is Oz? Warp's cloud agent platform

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3 of 22

What is Oz? Warp's cloud agent platform

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Classroom Contents

Building User-Driven Features with AI Agents and Cloud Automation

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  1. 1 Intro
  2. 2 The problem with local AI agents
  3. 3 What is Oz? Warp's cloud agent platform
  4. 4 Demo: AI Tattoo app Inkigo overview
  5. 5 Feature request form walkthrough
  6. 6 Plan: Triggering Oz from feature requests
  7. 7 Setting up Warp and the agent management panel
  8. 8 Testing a cloud agent
  9. 9 Creating an Oz environment for the project
  10. 10 Installing the Oz SDK
  11. 11 Using the Oz CLI
  12. 12 Connecting the SDK to the feature request API
  13. 13 Writing the trigger code
  14. 14 Configuring the model and base prompt
  15. 15 Live demo: Submitting two feature requests simultaneously
  16. 16 Monitoring parallel agents in real time
  17. 17 Reviewing the pull requests
  18. 18 Testing the pin prompt feature locally
  19. 19 Testing the camera grid feature locally
  20. 20 Follow-up prompt from the cloud agent
  21. 21 Shipping to production
  22. 22 Recap: What just happened + other Oz use cases

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