Take your AI agents to the cloud! You will use Google Antigravity to autonomously architect, build, and deploy a serverless event-driven document processing pipeline. Together with the AI, you will build a system that ingests files from Cloud Storage, processes them with Cloud Run and Gemini, and stores metadata in BigQuery.

Key Takeaways:

1. AI-Assisted Architecture: Use Antigravity's Planning mode with Gemini models to outline complex Google Cloud architectures and task lists.
2. Infrastructure Generation: Instruct the agent to generate shell scripts that provision Cloud Storage buckets, Pub/Sub topics, and BigQuery datasets.
3. Microservice Deployment: Oversee the AI as it writes and deploys a Python-based Cloud Run application integrated with Gemini on Vertex AI.
4. Automated Verification: Use Antigravity’s Walkthrough artifacts to test and validate the end-to-end data pipeline automatically.