Zeitzone ändern:
Thursday, October 08, 2026 04:00 PM
Sprache:
Englisch
Dauer:
1 stunde
AI coding assistants — Claude Code, GitHub Copilot, Codex, Antigravity — are already fluent in Maple Flow. Just install the agentic Maple Flow skill, and you open up a surprising range of AI-powered calculation workflows.
In this webinar we walk through nine of them, grouped into three themes.
Create — generate design calculations from a prompt, complete with diagrams and documented provenance; turn an Excel spreadsheet into visible live math; rewrite a MATLAB script as a Flow worksheet.
Share — push a worksheet back out as a spreadsheet, desktop application, or browser-based web app, leaning on the Maple engine for reliable math.
Analyze — impose mathematical structure on a technical image; build math models from technical papers; distil a library of hundreds of worksheets into a single searchable index, complete with summaries and key results.
The caveat, stated plainly: you still need an expert human in the loop to verify and validate, and your results are only as good as your prompt, your AI model, and the data you feed it.
But as a starting point, these workflows will save you hours.
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