AI Writes the Docs, But Humans Must Own the Decisions

As AI-generated documentation becomes common, the bottleneck in the process shifts from writing to reviewing, exposing weaknesses in traditional review habits built for scarce text. Teams often fall into two failure patterns: merging long documents because reading felt like work, or editing minor style issues while substantive errors slip through. A proposed four-step pipeline addresses this by using a YAML ownership file to classify each documentation section by tier — freely drafted, human-verified, or fully human-owned. The AI model is instructed to draft only permitted sections and flag uncertain claims with an @UNRESOLVED marker, making hallucination risks visible and actionable. This approach reframes the human role from prose editor to decision-maker, with merge gates enforcing accountability at each ownership boundary.