🔌 Integration Models

Where should AI present itself in the product ecosystem?

Standalone AI

Applications or services with AI as the core experience.

  • Dedicated AI Interfaces (e.g., chatbots).

  • AI-First Experiences.

  • Portal Patterns linking to other tools and workflows.

Embedded AI

AI tightly integrated into an app’s UI and workflows.

  • Inline intelligence in UI components.

  • Contextual adaptation to user/task.

  • Optional progressive enhancement.

  • Shared state sync between AI and app.

Cross-System AI

AI coordinating workflows across multiple platforms and tools.

  • Context handoffs across tools.

  • Parallel human/AI workflows.

  • Conditional activation based on triggers.

  • Cross-Environment Workflows.

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