Communicating AI system behavior, model performance, and business outcomes through clear, decision-ready visualizations. Increasingly a critical skill for AI pr
Data visualization for AI communicates the new evidence: eval results with uncertainty, agent behavior traces, drift dashboards, and cost telemetry, turning probabilistic system truth into displays executives and engineers can act on.
Supporting premium: as AI programs report to boards, practitioners who visualize probabilistic evidence honestly amplify every team they join, a differentiator stacked on analyst and engineering roles.
Uncertainty is the message: quality scores carry confidence bands, behavior is distributional, and hiding variance misleads. The craft is making probabilistic truth legible without false precision.
The grammar matters more than the tool: strong fundamentals in one stack (Plotly/Vega/D3-class) plus dashboarding, with trace-visualization ability for agents as the emerging edge.