Knowlayer Insights
The reader of your docs is now a machine.¶
Field notes on making content AI-ready: chunking, retrieval, metadata, and the KPIs that matter now that models — not browsers — are the first thing that reads what you publish.
tokens: 312
score: 0.94
tokens: 280
score: 0.91
tokens: 344
score: 0.88
tokens: 291
score: 0.93
Read the field notes¶
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From Pageviews to AI-Readiness
Why traditional documentation KPIs are quietly breaking, and the four layers that decide whether an AI system can find and correctly use your content.
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Chunking Deep-Dive
The most underrated lever in AI-ready content. Strategies, token math, code, and a decision table for splitting content so retrieval actually works.
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From Taxonomy to Knowledge Graph
Every IA already builds knowledge graphs implicitly. Making them explicit — triples, prerequisites, and GraphRAG — is what lets an AI system reason over your content, not just retrieve it.
What this is¶
Knowlayer turns content — in any format or tool — into a clean, structured knowledge layer that AI systems can retrieve reliably. These articles are the thinking behind that work.
Want your corpus assessed?
Knowlayer runs an AI-readiness audit that scores exactly these criteria. Book a discovery call.