LunchBox – The Past, Present, and Future of Grasshopper’s most Downloaded Plugin

Posted on by Nate

LunchBox, Grasshopper's most downloaded plugin, started around 2010 focusing on tessellation. Named LunchBox in 2012 as a tool 'container', it expanded for geometric and data workflows. Since 2015, Proving Ground added mesh tools, R-tree, and integrated Machine Learning (LunchBoxML). Recent additions include massing tools and Shell Breps for 3D printing. Celebrating 15 years in 2025, an alpha version is now porting to Grasshopper2 for tools like massing, paneling, and data workflows.

Why is AI adoption different from past digital transformations in design?

Posted on by Nate

AI adoption in design differs from past digital transformations like CAD/BIM. AI is already familiar and doesn't require expertise, making guardrails and governance essential. Successful AI strategies need broad stakeholder engagement, including non-experts, to discover valuable uses. Though potential is high, the actual business impact of AI is not yet widely measured. Businesses must define measurable outcomes and strategies for managing change to realize value.

Weekly Workflow: Use LunchBox ML to Predict Solar Radiation

Posted on by Nicole Mater

LunchBox includes Machine Learning components (LunchBoxML) that make Accord.NET and ML.NET workflows accessible within Grasshopper. These components allow users to train, save, and test machine learning models using a variety of algorithms. This example uses LunchBox’s Regression Trainer alongside Ladybug’s environmental modeling tools to predict incident solar radiation for an irregular surface.

The What, Why, and How of Data Classification

Posted on by Steve

AI Audio Summary and Discussion Want to learn about this topic in the background? Give this AI-generated audio summary a listen (created using NotebookLM). Start listening for easy summarization... stay for funny pronounciations of "Reevit". Data management tactics relating to quality and remediation have become essential for unlocking insights into AEC project information for the … Continue reading The What, Why, and How of Data Classification