Assess your AI fluency using Anthropic's 4D framework (Dakan, Feller & Anthropic, 2025). Scans Claude Code sessions, runs LLM-based behavior classification on all messages, asks a self-assessment questionnaire for 6 unobservable behaviors, and generates a visual HTML report with scores and actionable feedback. Use when "assess fluency", "AI fluency", "fluency report", "fluency assessment", "4D framework", or "how AI fluent am I".
75
94%
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Adds up to 20 points to the overall score
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Design system, layout, and formatting for the AI Fluency HTML report.
#FAFAF9, Surface: #FFFFFF, Border: #E7E5E4#2563EB (blue), light: #EFF6FF#7C3AED (purple), light: #F5F3FF#0891B2 (cyan), light: #ECFEFF#059669 (green), light: #ECFDF5#EF4444, 2=#F97316, 3=#EAB308, 4=#22C55E, 5=#10B981Header: Title, date, overall score (large number with level label)
Overall Score Card: Large score with Novice/Emerging/Developing/Proficient/Expert label. Compute as average of 4 competency scores.
Key Takeaways: Profile summary ("Your Profile: [type]") with two columns — "What You Do Well" (4 strengths with evidence) and "Where You Can Level Up" (4 growth areas with actionable advice). Include a callout box with one concrete habit to try.
4 Competency Summary Cards: Each shows competency name, color-coded score, progress bar, and sub-competency breakdown. Score = average of sub-competency scores. Sub-competency score = average of behavior scores within it.
Strengths & Growth Areas: Side-by-side cards showing top 3 strengths (highest-scored behaviors) and top 3 growth areas (lowest-scored behaviors with specific recommendations).
Behavior Heatmap: Horizontal bar chart ranking all 18 classified behaviors by LLM match count. Scale bars relative to the highest behavior (highest = 100% width). Show absolute message counts. Color bars by competency color.
Top Projects Breakdown: Horizontal bar chart showing message volume per project (top 10), scaled relative to the busiest project.
Footer: Framework attribution, generation date, classification method