Frame AI

Frame AI workflow overview

Frame AI helps teams work with BIM information through natural language instead of forcing every question into a manual filter, export, or spreadsheet step.

The main pattern is:

1. Pick the context you want to work with: model data, sheets, or changes.
2. Ask for the result in plain language.
3. Add precise context when needed so the prompt matches your project data.
4. Review the output inside Frame and validate it with project context.
5. Export or continue working from the result.

Talk to your BIM

Query categories, elements, and properties in natural language and inspect the result in 3D.

Create scope of works from Sheets

Generate scope of work drafts directly from project sheets to speed up deliverable definition.

Talk to your changes

Review modifications and revisions conversationally so teams can understand what changed and what it affects.

Continue from here

• Start with Talk to your BIM if your first goal is model query and analysis.
• Use Create scope of works from Sheets when the source material is your sheet set.
• Use Talk to your changes when the review task is about modifications, revisions, or impact.

Known limitations

• Model sizes and performance: We are currently experimenting with different model sizes to optimize the balance between accuracy and speed. We’re actively testing various configurations to find the best performance for our users.
• AI model selection: We are evaluating which AI models are best suited for Frame’s specific use cases in construction and BIM workflows, testing different models to ensure optimal results for architectural and engineering tasks.
• Processing speed: Response times may vary as we continue to evaluate and improve our infrastructure.