{ "schema": "ai-assisted-data-visualization-corpus/1", "title": "The state of AI-assisted data visualization", "canonical_url": "https://viz.lyra-forge.com/", "description": "Research, practitioner evidence, capability scorecards, and focused deep dives on AI-assisted data visualization as of August 2026.", "status": "dated state-of-the-field research snapshot", "evidence_cutoff": "2026-08-14", "refresh_by": "2026-11-14", "purpose": [ "Synthesize research on AI-assisted visualization generation, understanding, critique, and delivery.", "Connect measured capability to practitioner work and reader experience.", "Separate convergence, legitimate contextual divergence, demonstrated negatives, evidence gaps, and forecasts.", "Support contextual evaluation and the design of falsifiable next experiments." ], "interpretation_rules": [ "Treat the package as a dated state-of-the-field synthesis, not settled law.", "Keep observed findings, author or product testimony, synthesis, and forecasts 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public edition mapping practitioner jobs, tool choices, creator experience, delivery failures, reader reactions, and open evidence gaps." } ] }, { "title": "How close are we to the ideal?", "description": "Context-specific scorecards for generation and understanding, reconstructed backward through time and connected to explicit forecasts.", "html_url": "https://viz.lyra-forge.com/capability-scorecard/", "related_report_markdown_url": "https://viz.lyra-forge.com/reports/ideal-state-and-scorecards/source.md", "updates": [ { "date": "2026-08-14", "change": "Initial public edition defining the ideal state, present scorecards, historical reconstruction, contextual endpoints, and forecast movements with direct evidence links." } ] }, { "title": "Map of the research corpus", "description": "A non-linear view of the questions, reports, evidence layers, gaps, and relationships across the complete working corpus.", "html_url": "https://viz.lyra-forge.com/content-map/", 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} ] } ], "reports": [ { "group": "Core synthesis", "title": "Executive summary", "description": "The central findings, limits, and practical implications in one short reading path.", "html_url": "https://viz.lyra-forge.com/reports/executive-summary/", "markdown_url": "https://viz.lyra-forge.com/reports/executive-summary/source.md", "updates": [ { "date": "2026-08-14", "label": "Readability and navigation update.", "change": "Added selective emphasis to the load-bearing conclusions and linked claims to the relevant visual experiences and deep-dive reports." }, { "date": "2026-08-14", "label": "Initial public edition.", "change": "Condensed the research, practitioner, human-skills, learning, agent-skill, specialized-vision, and forecasting work into one decision-oriented summary." } ] }, { "group": "Core synthesis", "title": "Research review", "description": "The full literature synthesis and technique history behind the visual field guide.", "html_url": "https://viz.lyra-forge.com/reports/research-review/", "markdown_url": "https://viz.lyra-forge.com/reports/research-review/source.md", "updates": [ { "date": "2026-08-14", "label": "Initial public edition.", "change": "Established the contextual goals typology, literature synthesis, technique history, benchmark timeline, convergence and divergence findings, demonstrated negatives, and research gap ledger." } ] }, { "group": "Core synthesis", "title": "Practitioner and reader experience", "description": "Tool landscape, jobs, creator accounts, reader reactions, and the gap between possibility, accomplishment, and experience.", "html_url": "https://viz.lyra-forge.com/reports/practitioner-and-reader-experience/", "markdown_url": "https://viz.lyra-forge.com/reports/practitioner-and-reader-experience/source.md", "updates": [ { "date": "2026-08-14", "label": "Initial public edition.", "change": "Mapped practitioner jobs and tool choices, synthesized creator and reader accounts, and separated possible output, accomplished work, delivery, and lived outcome." } ] }, { "group": "Core synthesis", "title": "Ideal state and capability scorecards", "description": "Definitions of excellent generation and understanding, current scores by context, historical reconstructions, and forecast states.", "html_url": "https://viz.lyra-forge.com/reports/ideal-state-and-scorecards/", "markdown_url": "https://viz.lyra-forge.com/reports/ideal-state-and-scorecards/source.md", "updates": [ { "date": "2026-08-14", "label": "Initial public edition.", "change": "Defined the ideal-state dimensions, fixed maturity rubric, August 2026 field assessment, historical reconstruction, contextual endpoints, and forecast score movements." } ] }, { "group": "Capability and evidence deep dives", "title": "What the benchmarks actually measure", "description": "A crosswalk from benchmark scores to the capability demonstrated\u2014and the claims each benchmark cannot support.", "html_url": "https://viz.lyra-forge.com/reports/benchmark-crosswalk/", "markdown_url": "https://viz.lyra-forge.com/reports/benchmark-crosswalk/source.md", "updates": [ { "date": "2026-08-14", "label": "Initial public edition.", "change": "Crosswalked generation, execution, semantic, perceptual, integrity, interaction, and human-outcome evaluations to their supported claims and important nonclaims." } ] }, { "group": "Capability and evidence deep dives", "title": "Data-visualization skills for coding agents", "description": "A comparative reading of skill packages, their techniques, adoption signals, testing evidence, and likely durability as base models improve.", "html_url": "https://viz.lyra-forge.com/reports/agent-skills/", "markdown_url": "https://viz.lyra-forge.com/reports/agent-skills/source.md", "updates": [ { "date": "2026-08-14", "label": "Initial public edition.", "change": "Cataloged agent skill packages, adoption signals, recurring techniques, evaluation evidence, likely failure modes, and an ordered ablation program." } ] }, { "group": "Capability and evidence deep dives", "title": "Specialized vision models", "description": "Where chart-specific perception, OCR, structured reconstruction, and visual critics outperform general models\u2014and where they do not.", "html_url": "https://viz.lyra-forge.com/reports/specialized-vision-models/", "markdown_url": "https://viz.lyra-forge.com/reports/specialized-vision-models/source.md", "updates": [ { "date": "2026-08-14", "label": "Initial public edition.", "change": "Compared six specialist vision roles, recent models and benchmarks, same-test gains, transfer failures, critic authority, and routing experiments." } ] }, { "group": "Capability and evidence deep dives", "title": "Human skills and banked gains", "description": "What novices, intermediate practitioners, and experts gain today, what remains unproven, and which human capabilities become more important.", "html_url": 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