I Tested 2 AI Approaches in AutoCAD on Real Workflows. One Worked. One Didn't.
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I spent months building an MCP server that connected Claude directly to AutoCAD.
First time it drew a circle inside AutoCAD, I was floored. Then I actually tracked the reliability. 90%. Engineering firms I pitched it to were terrified of that 10% and for a risk-sensitive industry like construction, they were right to be.
So I shut it down and rebuilt everything from scratch.
This video breaks down the two types of AI workflows, why one fails for engineering work, and the framework I use now that runs 100% of the time.
You will learn:
Why probabilistic AI models are the wrong tool for repetitive drafting tasks
How deterministic agentic workflows work (using a real stair detail as the example)
The SET Framework (Standards, Engine, Tools), the system behind automations that actually hold up
The rule of thumb to check if your workflow is even a candidate for automation
I built this, tested it, broke it, and rebuilt it. This is what I found.
Get started - two paths depending on where you are:
Have a paid Claude account? Watch this to connect Claude Code to AutoCAD and build your first automation:
• How to Connect Claude Code to AutoCAD and ...
Starting at $0? Google Antigravity is a good first step:
• How I Set Up an Agentic Workflow for AutoC...
Architectural to Structural drawing Setup Agentic Workflow
• How I Cut AutoCAD Architect DWG Setup From...