If you're spending too much time copying results into spreadsheets, rebuilding load combinations, and reworking calculation tables by hand, this session shows a different way of working. Using a prepared STAAD model for a steel/foundation project, guest speaker Timo Zollner demonstrates how AI-assisted Python/OpenSTAAD scripts can handle repetitive result extraction, combination building, and documentation, while you focus on engineering decisions. You'll see practical examples, how the scripts are checked against STAAD results and code-based limits, and how they can be reused instead of reinventing tools on every project.

This webinar also highlights our broader "Build with Bentley" initiative, including API-first engineering workflows and emerging STAAD MCP (Model Context Protocol) capabilities that help engineers combine automation and AI-assisted scripting with the trusted, proven analysis capabilities of STAAD - reducing repetitive work while maintaining engineering transparency, traceability, and confidence in the results.

What you will learn:

How to go from a STAAD model and a plain-language prompt to an AI-assisted OpenSTAAD/Python script that automates result extraction. How to script member force, reaction, and deflection-envelope extraction and rebuild calculation tables directly from STAAD outputs instead of manual spreadsheet work. How to generate and update load combinations and envelopes (e.g., EN 1990/EN 1991) via scripts when load cases or parameters change. How to review and validate AI-drafted scripts by inspecting OpenSTAAD calls, cross-checking against trusted STAAD runs, and applying simple span/deflection and equilibrium checks.