
Explore how to integrate OpenAI with Dynamo for Revit, using pre-built custom nodes and your OpenAI key to run embeddings, vision, audio, and JSON workflows in structured automations.
Explore Dynamo and OpenAI tools in structured workflows with AvantLeap strategy for AI-driven consultancy, focusing on rapid prototyping, user engagement, BIM data, and digital twins.
Set up Dynamo with Revit, install package 1.12, and define requirements to build LM sections with charts, embeddings, and images in structured workflows.
Learn to configure OpenAI in Dynamo with API keys and chat completions, using roles (user, developer, assistant) and GPT-4 settings, and to format inputs with dynamic prompts.
Explore using Dynamo with OpenAI data completions to extract Revit element names and types, translate Spanish names to English, and rename elements in bulk via Practical Beam in structured workflows.
Explore OpenAI developer and assistant functions by building three-role conversations with user, assistant, and developer, using system messages, text generation, and embeddings to guide responses.
Explore how OpenAI embeddings in Dynamo convert text into vectors, compare similarity with cosine similarity, dot product, and Euclidean distance, and use them to retrieve related information via read JSON.
Learn how to store and retrieve data by parsing json, generating unique embeddings with OpenAI, and organizing keys, values, and texts for cosine-based retrieval in Dynamo workflows.
Explore advanced AI queries for BIM workflows, leveraging embeddings, data normalization, and structured prompts to extract relevant project insights from multi-language data.
Connect OpenAI DALL-E to Dynamo to generate images by creating an OpenAI key, crafting a dining room night prompt, and saving the resulting base64 image to desktop.
Extract images from views, convert them to an image byte array, and analyze with a vision model to generate analytical descriptions of architectural, geometric, and drafting elements.
Explore how to generate, process, and transcribe audio in Dynamo workflows using OpenAI audio tools, selecting voices like Onyx and handling mp3 or wav file outputs.
Learn to apply Parzen format and model text with OpenAI to extract structured data (title, authors, abstract, keywords) from unstructured text and configure system prompts.
AI is rapidly expanding what's possible in design and automation, and this course brings that potential directly into Dynamo for Revit—without requiring code or prompt engineering. Designed for professionals who want to connect OpenAI’s most advanced tools to Dynamo workflows, this course offers a structured way to build powerful, AI-powered logic through pre-built custom nodes and your OpenAI key.
Rather than teaching AI theory, prompting strategies, or Dynamo basics, this course focuses on what becomes possible when you directly integrate LLM workflows into Dynamo. Students will use OpenAI’s Embeddings, Vision, Audio, and Output Formatting APIs to run structured operations on data, images, and voice, all through clean JSON connections inside Dynamo.
This is not a course about managing Revit models or creating AI summaries of BIM data—it’s a hands-on exploration of how to connect complex AI functions directly to your Dynamo environment, giving you full control over the logic and possibilities.
What You’ll Learn
Use pre-built custom nodes to access OpenAI tools directly from Dynamo
Run Embeddings-based categorization and querying from JSON-formatted project data
Analyze and extract information from images using OpenAI Vision
Convert voice input into structured logic with OpenAI Audio
Create clean, structured outputs using OpenAI’s Output Formatting tools
Apply moderation to ensure clarity and safety in generated outputs
Build scalable, LLM-powered workflows using node-based connections only—no scripts required
A certificate of completion will be provided. Whether you're a designer, BIM coordinator, or automation-minded professional, this course gives you the structure and tools to explore LLM capabilities within Dynamo—unlocking a new layer of custom logic, automation, and creative experimentation.