An architectural method for digital reading

The reader highlights.
The AI illuminates.

AI Augmented Reading is a method by which a reader highlights any descriptive passage in a digital text and receives a contextually appropriate visual β€” inline, instantly, without leaving the page. A working architectural thesis with proof artefacts, built around schema-bounded generation for reliability in technical content.

View the demonstration Engagement

The concept in numbers
10
Visual categories in the method taxonomy
1
Working prototype, available to view
5
Steps from highlight to inline visual

Ten categories developed to date. The method extends naturally to any domain where descriptive prose has a corresponding visual form.

Ten visual categories

Every type of descriptive passage.
One method.

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Anatomical
Cardiac cycles, pharmacological cascades, cellular mechanisms
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Chemical
Molecular structures, reactions, DNA replication
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Astronomical
Orreries, planetary systems, orbital diagrams
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Tactical
Battle formations, military dispositions, terrain maps
🌊
Meteorological
Storm systems, pressure fronts, weather patterns
β›΅
Geographical
Voyage routes, expedition tracks, cartographic journeys
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Architectural
Floor plans, site diagrams, spatial reconstructions
🎡
Musical
Waveforms, instrument layers, acoustic dynamics
🍽️
Culinary
Recipe flows, ingredient diagrams, preparation stages
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Relational
Character maps, timelines, narrative structures