Thinking about documentation as the knowledge layer behind AI

My perspective on how documentation architecture, engineering workflows, and AI systems fit together.

AI quality depends on the knowledge system behind the answer

AI does not make documentation architecture less important. It makes the underlying choices visible: which source is trusted, what context is available, how an agent is guided, and how a team knows when an answer is wrong. I think about documentation as the maintained knowledge layer that connects product change to useful answers for people and AI.

Read the architecture

Context

Give the system the right source, version, audience, permissions, and task context.

Skills

Keep agent instructions scoped, versioned, and connected to authoritative documentation.

Harnesses

Test realistic user tasks for retrieval quality, grounding, and reliable completion.

Traces

Inspect sources, context, tools, and outputs to locate where a failure entered the flow.

Documentation Systems

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