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This workshop explores BIM data automation in Revit using AI to transform project information into dashboards and plugins.
Architectural projects run on information, room schedules, specifications, cost data, design briefs, and the models themselves, but it usually sits in disconnected files and gets checked by hand. This workshop closes that gap: using Revit and Power Query, you will pull project data together and clean it into a repeatable, validated dataset, then see how Claude AI helps turn it into a clear, shareable health-score dashboard and a simple Revit plugin that ties the two together.
Power Query is a free, no-code tool for cleaning and merging data; once you build a workflow, it refreshes on the next project with a single click. In the demonstrations, you will see how Claude AI takes that clean data and produces the code behind the dashboard and the plugin, the kind of result that would normally need a developer, from a guided written prompt. Combined with the structured data already available in a Revit model, this lets design teams automate work usually done by hand while improving data quality and cutting the time spent on repetitive tasks.
Clean and merge BIM data using Power Query
Generate Revit keynotes from structured specification data
Combine Revit quantities with external project datasets
Build automated rules for BIM model QA/QC checks
The focus is the everyday information problems of architectural and BIM projects, building typologies such as offices, healthcare, and mixed-use, where room programs, specifications, and model quality all matter. The whole workshop follows one sample project that you progressively enrich, so every step builds toward a single finished result rather than disconnected exercises.
The workshop is hands-on: most of the time is spent building, not watching. We start by looking at a striking finished dashboard, the target, then spend the two days building the real, working version behind it. To keep everyone in step, each stage has a checkpoint file you can load to rejoin if a step breaks.
You work hands-on throughout: everyone cleans and merges data in Power Query and sets up their own pyRevit plugin. For the AI steps, the exact prompt used in Claude will be provided, and the reply it produced will be applied to the same prompt, with the result included together so the whole group stays in sync.
Checkpoint files, including the finished dashboard, mean no one is ever blocked, and anyone with a Claude account can run the prompts live as an extra.
Participants work individually, and the closing session is a shared discussion on applying the workflows to real projects.
Day 1: Building and Structuring BIM Data
Day 2: Automation, Validation & Dashboard Integration
Curriculum will be published soon.
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