My Favorite Moments from Episode 242 "Designing for 100 Years… in 100 Seconds?"
💬 18 lines worth keeping from TRXL 242, from fifteen voices on what an agent really is, where the risk piles up, and whether you'd want to prompt a building.
Automation
Prompt to Building Stops at the Garden Shed (For Now)
📰 Nobody has taken prompt-to-building past a garden shed, said one guest. Autodesk, Bentley, Skema, Finch and more on where agents work today and where a design decision still needs time to incubate and iterate.
242: Designing for 100 Years… in 100 Seconds?
A conversation with Oliver Goldman, Greg Demchak, Matt Wash, Marty Rozmanith, and other experts about AI agents versus copilots, trust frameworks, and the challenges of prompting a building in AEC.
What AI Can Actually Do in a Real Firm Today
📰 Eleven AEC vendors, one question: what can your AI actually do in a real firm today? The honest answers were more useful than any demo.
241: From Autocomplete to Agent: Where AEC Actually Is
A conversation with industry vendors and practitioners about why AI tools in AEC often deliver value only on deterministic, repetitive tasks, the hype versus reality of autocomplete, copilot and agents, and the critical role of the AI harness.
The Sawtooth Chart Was Never the Enemy
📰 The sawtooth was never the enemy. Phil Read makes the case that the jagged stopping points everyone spent twenty years trying to smooth away were where judgment got applied, and asks what replaces them now.
237: 'The Interns Will Have Interns', with Phil Read
A conversation with Phil Read about treating AI as an intern, preserving human judgment through sawtooth decision points, and the need to teach delegation early in architectural practice.