Blog/Story How a 2-person studio shipped 40 listing decks in a week Jun 2, 2026 · 6 min read Marisol and Dev run a two-person staging studio. When a brokerage handed them 40 listings to visualize before a spring open-house push, the old workflow said "three weeks." They shipped in five days. Their previous process was a relay race: shoot or source the room photos, rebuild each space in a modeling tool, set up materials and lighting, render overnight, then assemble everything into a client deck the next morning. On a good week they'd turn around six or seven listings. Forty was not a good-week number. Rebuilding the pipeline around prompts Instead of modeling each room from scratch, they started from the listing photos directly. For empty units, they staged from a single photo; for dated interiors, they restyled in place. The brief for each room was a sentence — target buyer, mood, a couple of must-keep features — and AIHom returned a furnished, photoreal scene. The decks themselves followed a simple template: a hero render per room, a couple of alternate styles for the rooms that mattered most, and a clean export straight into their slide layout. The week, by the numbers40 listings · ~3 rooms each · 2 people · 5 working days. The bottleneck stopped being render time and became how fast they could decide on a look. What actually sped things up No re-modeling. Starting from the photo meant they skipped the most time-consuming step entirely. Variations were cheap. Showing a broker two styles per hero room took minutes, not another render night. Edits stayed in one place. When a broker asked for a warmer palette, they changed it and re-rendered without rebuilding. "We didn't get faster at rendering. We stopped rendering the way we used to." — Marisol What they watched out for It wasn't all magic. They learned to write tighter briefs — vague ones gave generic rooms — and they kept a human eye on scale and on anything a buyer might misread. For listings, they also labelled every image as virtually staged, in line with their local MLS rules. The takeaway wasn't "AI does the work." It was that a two-person shop could take on volume that used to require a bigger team — and spend the saved hours on the judgment calls that actually win the listing.