Runavelo Automation Lab
Safe sample data

BUILD WITH RUNAVELO AI

Build: Dynamic locator repair

Copy the task prompt into Runavelo's built-in AI Assistant. The AI will create an editable visual workflow that you can inspect before running.

READY TO COPY

Task prompt

This prompt includes the target page, inputs, output, CDP rules, comments, and verification requirements.

Build a visual workflow that opens https://runavelo.com/demo/dynamic-locator-repair and completes the target action before and after the page changes state. The same action must continue working even though the page changes its generated identifier and state number. Confirm and report the final completion message.
EXPECTED EVIDENCE

What a successful AI-built workflow should prove

  • The changing page element is handled without manual intervention.
  • The workflow keeps working after the state and generated ID change.
  • The repaired action completes and its status is logged.

The QYA file is a reference implementation for comparison or recovery. The recommended path is to let the built-in AI construct the workflow from the prompt.