01
Modeling
Define structured content models that capture entities, attributes, and relationships as first-class fields rather than free text.
Laboratory · 04
Content Operations Laboratory.
The Content Operations Laboratory is our research practice for structured content systems: headless CMS modeling, reusable content blocks, editorial governance, and AI-assisted drafting workflows that produce machine-readable outputs at scale. It tests how composable schemas in Sanity, Contentful, and similar platforms increase entity coverage, factual integrity, and retrieval performance across search engines and answer engines.
Focus areas
What this laboratory investigates
Structured content modeling in headless CMS.
Reusable content blocks and composable templates.
Editorial operations and governance.
AI-assisted research, drafting, and review workflows.
Quality control for machine-readable outputs.
Sanity CMS workflows and reference patterns.
Methodology
How the laboratory operates
02
Workflow design
Design editorial workflows that combine human expertise, structured fields, and assisted drafting without sacrificing accuracy.
03
Quality controls
Instrument review, validation, and schema integrity checks across the publishing pipeline.
Active experiments
What we are currently testing
Block-based content vs retrieval cleanliness
Measuring how block-based, structured content models influence the cleanliness of AI retrieval and citation.
Editorial templates for entity-rich pages
Designing templates that consistently produce entity-rich content at scale.
Human plus assisted drafting
Studying workflows that combine senior human expertise with assisted drafting and structured validation.
Applied to
SaaS CompaniesEnterprise SoftwarePublishersProfessional Services
FAQ
Frequently asked questions
Follow this laboratory's research.
Findings from this laboratory are published as the research programme develops.