Tag Archives: artificial-intelligence

Top Phrases of 2025 vibed into a contextualized cloud.

Posted on April 12, 2026 by richardbrath

How can we visualize contemporary phrases? Contemporary art suggests possibilities, but there’s a need for additional context. With AI, I find phrases, do semantic grouping, create example sentences, and encode connotative colors, into a composition. This little AI-assisted design project aid reconsideration of design rules regarding layout and color. Continue reading →

Posted in Data Visualization, LLM, narrative visualization, Readability, Text Skimming, Text Visualization | Tagged , , , , , , , | Leave a comment

Visualizing with LLMs: challenging data visualizations

Posted on March 9, 2026 by richardbrath

LLM’s help me animate the text in ways that it perhaps should not be animated. Why? It’s about understanding breadth of design possibilities. Continue reading →

Posted in Data Visualization, Design Space, Font Visualization, Kinetic Typography, LLM, Text Visualization, Variable Fonts | Tagged , , , , , , , | Leave a comment

Text slopes and rings

Posted on January 18, 2026 by richardbrath

A Washington Post analysis of earnings calls visualizes rising CEO concerns by sloping keyword changes in context. For another “text on paths” approach, I explore placing quotations on circular rings, enabled by rapid LLM-assisted visualization design. Continue reading →

Posted in Annotation, Data Visualization, Design Space, LLM, Microtext, Readability, Text Visualization | Tagged , , , , , | Leave a comment

Free movies (and LLM-aided viz design)

Posted on January 3, 2026 by richardbrath

An LLM-driven exploration of visualizing 800 National Film Registry movies. After failed genre and text-embedding approaches, the author uses LLMs to generate nuanced attributes, cluster films, and design an interactive visualization that reveals meaningful similarities without standard categories, reflecting on strengths and limits of “Team LLM” design iteration. Continue reading →

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You’ve made the wrong connection

Posted on November 16, 2025 by richardbrath

Force-directed graphs present challenges such as long, salient edges and ambiguous connections, which can confuse viewers. How could this be improved? Three design ideas are constructed via LLM, including edge routing with arcs, edge bundling with color differentiation, and gradient tips to lessen the prominence of long connections and clarify endpoints. New techniques such as these could aid graph visualization to enhance perceptual clarity. Continue reading →

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Fitting text into tables: it’s time for AI-gen Tacos

Posted on October 4, 2025 by richardbrath

Trouble fitting text into tables? LLM Taco visualizations can help. Text-Tacos are Textual TAble CartOgrams that bend table gridlines so that cells can show more text. These table cartograms can be generated with AI, although there are challenges describing the layout algorithm to the LLM. Text-Tacos can benefit qualitative data visualization, such as the analysis of customer reviews from surveys. Continue reading →

Posted in Data Visualization, Design Space, LLM, Text Skimming, Text Visualization, Thematic Map | Tagged , , , , , , , | Leave a comment

Revolution revelation: visualizing word similarity

Posted on May 15, 2025 by richardbrath

Dada, post-modernists and stock certificates all overlay text. We can use this in data visualization to overlay similar words, for creative uses such as rhetorical devices, or analytic uses such as entity resolution. Continue reading →

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Frustrating AI vs Creative Humans

Posted on January 26, 2025 by richardbrath

Sometimes AI is frustrating. And sometimes humans can be much more creative – as seen in sketched visualization tools we published in a recent issue of Nightingale magazine. Continue reading →

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Understanding Political Positions with (LLM) Visualizations

Posted on November 2, 2024 by richardbrath

Visualizations can be used to better understand complex political issues beyond simple binary propositions. An LLM can be used to try out visualization variants to understand the emotions associated with issues or the many different directions associated with multiple political positions. Continue reading →

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Inline LLM-generated sparklines and readability

Posted on October 19, 2024 by richardbrath

Sparklines embedded inline in prose text may impact readability. We can quickly try that out with an LLM. And we can generate many alternative ideas. Continue reading →

Posted in Data Visualization, SparkWord, Text Skimming | Tagged , , , | Leave a comment