A prompt is the ask you type: the scope of work you hand the AI tool. The word sounds like a software skill, but this industry already writes the ask for a living - and whatever you leave out, the tool fills in with the most ordinary version of the work.
AI output arrives finished, confident, and formatted - which makes it hard to grade. Like a drywall finish under flat light, the flaws only show when somebody who knows the work holds the light. Do the reps, set the standard, then bring in the tool.
AI tools are powerful, but what's happening inside them? This article opens the hood on how large language models work, using construction analogies to explain why clear direction and good specs matter just as much with AI as they do on a jobsite.
Construction was built on innovations that were met with skepticism first. From the batch plant to the pneumatic nailer, tools that became industry standards started out as unproven ideas that only a few early adopters were willing to bet on.