Voice AI for Jobsite Estimating: A Developer Perspective Construction estimating has remained stubbornly analog. A site foreman holds a tape, mutters measurements into a voice recorder, and a junior estimates 3 days later—transcribing, normalizing, calculating. It's 2026, and most SMB construction firms still use this workflow. Why? Two reasons: cost of custom ML integration, and the domain-specific complexity of construction language. A voice AI that works for transcription doesn't understand "2x4 stud framing at 16OC with half-inch drywall fire-rated"—it hears "two by four... sixteen... half inch" and returns gibberish. Last year, we began integrating large language models with construction unit-cost databases at Anodos . Here's what we learned about shipping voice-first estimating to jobsites—and where the technology still stumbles. The Dual-Stream Problem: Audio + Domain Knowledge Voice estimating needs two parallel processes: Speech-to-text with construction context.…