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Why your platform team shouldn't build an AI context layer (even though they probably could)

Most engineering teams capable of building an internal AI knowledge system think they should. But six months later, it's a platform team's full-time job.

  • Building an AI context layer involves complex pipeline stages requiring ongoing effort.
  • Knowledge nodes must include origin, ownership, and trustworthiness for accurate retrieval.
  • Governance integration with IT and security protocols is essential for compliance.

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