Custom AI Workflow FAQ

Design custom engineering pipelines, chain data nodes, and run automated audits
across structural specifications.

4 Expert Answers
4 Topic Categories
Custom AI Workflows

The Custom AI Workflow Builder is a low-code visual pipeline designer. It allows VDC managers and estimation teams to construct custom quality control checks by chaining data inputs (drawings, BIM objects, specs) to prompt nodes. For instance, you can link a "drywall specs section" node and a "model partitions" node to a comparison node, automating the verification of drywall thickness across the entire project model.

Key Takeaways
  • Low-code drag-and-drop pipeline interface.
  • Combines BIM geometric data with verbal specifications.
  • Enables teams to build and save custom engineering audit scripts.
Helpful?

The builder uses standardized schema keys to map data. The "spec node" extracts parameters (such as concrete PSI values) from spec books, while the "BIM node" pulls properties from Revit families. The pipeline compares these parameters, flagging any objects in the model that do not meet the specification requirements.

Helpful?

To design an automated elevation clearance check:

1. Drag a **BIM Model Node** and select the MEP HVAC piping components. 2. Drag a **Design Guideline Node** and input the clearance constraint (e.g. minimum clear height of 9'-0"). 3. Link both inputs to a **Geometric Query Node**. 4. Connect the query output to a **RFI Generator Node**. 5. Run the pipeline to automatically compile issues for any pipes routing below the clearance limit.

Helpful?

iFieldSmart supports Python scripting nodes and standard REST APIs. Developers can use these nodes to pull external data (e.g. current material prices, local building codes) or export audit reports directly to ERP and scheduling systems, allowing teams to extend the platform's auditing capabilities.

Helpful?

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