AI CAD Workflows: Transforming Engineering Analysis

This dashboard displays a figure caption audit for a technical publishing team standardizing a large PDF corpus, replacing manual spreadsheet tracking with automated visual distributions of caption lengths. Prefix data reveals overwhelming consistency in labeling, with 950 captions using the full prefix compared to just two using an abbreviation, which instantly isolates the exact outliers needing editorial correction. By visualizing specific word and character count bins alongside this prefix usage, researchers can quickly identify stylistic anomalies and ensure submission-ready compliance without writing ad-hoc regex scripts.

What it shows:

Isolates stylistic outliers to ensure submission-ready document compliance.

This dashboard presents a 90-day oil-price-shock scenario model generated by a macro research analyst to replace a manual, seven-step scripting workflow. A scenario matrix table details three forward views, including a high scenario that models a full closure with a +62.9% magnitude and automatically filters out four unstable exponential-fit values to maintain data hygiene. The bottom section displays a multi-line chart visualizing shock persistence relative to a pre-event baseline, allowing the analyst to instantly deliver empirical shock distributions to risk managers without juggling multiple environments.

What it shows:

Delivers empirical shock distributions to risk managers using unified scenario modeling.