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Google Cloud's Applied ML team built an agentic workflow that completes foundation model upgrades in hours instead of months. The team migrated a video translation service from a fine-tuned model to Gemini 3.5 using prompt engineering alone. Three lessons: start with hands-on discovery, avoid rigid automation, and pivot to a flexible agent architecture.
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