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Structured Content Makes AI Work Better
Generative AI systems work best when the information they consume is organized, explicit, and precise. Structured content formats like XML and JSON provide exactly that – content that is machine‑readable, semantically rich, and consistently organized. Document processing is not simply one problem; rather, it comprises three components that must be considered.
Marianne Calilhanna
3 min read


DCL and Flatirons Solutions Join Forces to Simplify Legacy Aerospace Technical Documentation
DCL and Flatirons help aerospace and defense organizations modernize technical publications and unlock the full value of structured content.
Marianne Calilhanna
3 min read


Trustworthy AI: Optimizing Content for Large Language Models
Whether you’re developing AI-driven knowledge tools or simply want to make your organization’s content AI ready, learn how content structure can focus an AI’s attention, improve response quality, and ensure your most valuable information doesn’t get lost in the noise.
Marianne Calilhanna
1 min read


Attention Engine Optimization: It’s All About the R in RAG
As AI becomes increasingly integrated into all industries, organizations are striving to ensure that the insights generated by AI systems are reliable, accurate, and grounded in truth. Achieving trustworthy AI requires not only robust algorithms but also careful attention to the quality and structure of the information fed into them.
Marianne Calilhanna
5 min read


From Submission to Structured XML: Streamlining Editorial Efficiencies at The BMJ
BMJ Group has long been a leader in medical publishing, known for rigorous peer review, global reach, and trusted reputation built on exceptional publishing expertise. The BMJ is ranked among the top medical journals globally and is valued for its editorial integrity and innovation. DCL recently announced that The BMJ has implemented Content Crystallizer , a solution designed to transform manuscripts from Word documents into structured XML through a configurable, automate
Marianne Calilhanna
3 min read


"Control Your Data Before It Controls You": A Tagline for the Times
It was 2007. The iPhone had just been released, Facebook was still mostly for college students, and the term “cloud computing” was just starting to gain traction.
At Data Conversion Laboratory (DCL), we decided to have a little fun with a serious purpose: an internal contest to come up with a new company tagline. Our team members scribbled ideas on notepads, dropped slips into a box, and debated the merits of each over coffee.
The winning entry came from Nir Dayan and the t
Marianne Calilhanna
2 min read


Ready, Set, AI: How to Future-Proof Your Content, Teams, and Tech Stack
Recently Dipo Ajose-Coker, RWS; Marianne Calilhanna, DCL; and Sarah O'Keefe, Scriptorium discussed how to future-proof content, teams, and tech stack by effectively leveraging AI.
Marianne Calilhanna
1 min read


35.3 GB of Data is Bigger Than You Think!
If data had weight, 35.3 GB of data would crush you. This amount of data would literally reach the sky.
Marianne Calilhanna
2 min read


What do Tennis and Structured Content Have in Common?
But the truth is structured content helps technical communicators improve the way content gets developed, managed, and presented.
Marianne Calilhanna
1 min read
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