Let’s face it, we’re living in the future, right? We have self-driving cars (sort of), phones that can practically read our minds, and we’re sending…
Here’s what happened when I challenged an AI to model the complex structure of King’s Cross Station in Revit. No Dynamo, just raw C# as a Revit macro.
With the emergence of AI as a coding partner, I’ve found myself leaning back into the Revit Macro Manager. The barrier to entry for text-based coding has nearly vanished, and the results are cleaner, faster, and more robust than anything I could “wire up” in Dynamo.
Cost Overruns Budget overruns are a pervasive issue in construction, and retail store projects are no exception. Changes, delays, and misestimates during construction all compound…
Artificial intelligence might seem like magic, but even magic needs rules. One of the biggest misconceptions about AI is that it always gets things right.…
Despite the rise of e-commerce, physical retail in the U.S. is proving far more resilient than many expected — especially in the big-box and grocery sectors. Over the past three years, retailers like Walmart, Target, Costco, and Aldi have not only maintained but strategically expanded their physical footprints. While 2022 and 2023 saw more store openings than closures, 2024 brought a wave of store closings driven mostly by bankruptcies and weak specialty chains — not the major players in grocery or big-box retail.
Building out physical retail stores is a high-stakes game—one where a single misstep can cost thousands (or even millions). Have you ever had a store…
McDonaldization describes how industries optimize for efficiency, predictability, uniformity, and control. This principle doesn’t just apply to burgers, it’s the secret sauce behind how companies like Walmart, Dollar General, and Wegmans scale their physical stores to thousands of locations worldwide.
Imagine your home is overflowing with clutter. You hire a professional organizer who tidies everything up—but without proper shelves and storage, the clean items just end up in a neat pile on the floor. That’s what happens when you rely solely on AI to clean up your asset data, especially when managing furniture, fixtures, and equipment (FF&E) for owner-furnished items in repeatable commercial spaces.
Let me tell you a little secret about working in BIM: the more data you cram into your model, the more of a nightmare it becomes to manage. Early in my career as a BIM Manager, I thought it was smart to add as much data as possible to Revit Families for owner-furnished items (OFI).