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Explore how to:
  • Start with business problems and workflows to identify where AI can create meaningful value
  • Apply Google’s AI capabilities across models, agentic workflows, and experiences based on what the work requires
  • Break complex workflows into reusable agent components that can support more than one use case
  • Bring engineering, product, experience, and adoption expertise together from the beginning
  • Move beyond successful prototypes by designing for production, adoption, and measurable value
  • Build reusable knowledge and capabilities so the next AI initiative can start faster
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