TPL-2026-017·preprint·2026-04-30

Real-Estate Site-Search Automation: Hours-Saved and Filter-Accuracy in a Pre-Launch Venue Search

mhgreal-estateautomationcase-study

Abstract

Pre-launch entertainment-venue site searches are constrained by an unusual cocktail of filters: zoning compatibility, square-footage and ceiling-height fit, ABC-license geography (in NC, alcohol licensing depends on municipal jurisdiction and proximity to schools/churches), and proximity to demand. We instrumented an 8-week site search for Mile High Golf, a pre-launch indoor-golf entertainment venue, comparing a manual baseline (commercial RE advisor working alone) against an agent-assisted pipeline (advisor + a Claude Code agent that ingests county GIS, ABC-licensing maps, and listing feeds; pre-filters; and ranks). The agent-assisted pipeline saved approximately 14 hours of advisor time per week at week 1, climbing to 22 hours per week by week 8 as filter calibration improved. Agent precision against advisor verdict started at 61% and reached 87% by week 8. Recall at agent-pass-through-to-advisor stayed above 95% throughout — the false-negative rate was the metric the advisor was unwilling to compromise. We discuss the limitations of single-venture, single-geography study and offer a reproducibility checklist.

1. Background — MHG site-search context

Mile High Golf (MHG) is a pre-launch indoor entertainment venue in the Lake Norman corridor of North Carolina. The product is a hybrid: a craft-bar with a TruGolf-style simulator anchor, a cornhole arena, and an outdoor patio. The site-search constraints are unusual relative to a conventional retail or restaurant search [1][2]: ceiling height ≥ 16 feet (the simulator throw distance), zoning that supports both indoor recreation and on-premise alcohol, and ABC-license geography that satisfies North Carolina’s distance-from-school/church rules [3]. The lender (an SBA 7(a) participating bank [8]) has its own overlay constraints around lease length and tenant-improvement allowances.

The original site search was anchored to Hickory, NC. After the original deal failed, the search was repointed to Denver, NC (7521 Eastern Medical Dr) [9]. The 8-week instrumentation window covers both phases of the search. Throughout, the commercial-RE advisor of record was a senior partner at Ascent Real Estate, who agreed to participate in the comparison study and contributed the manual-baseline hours estimates.

The question we want to answer for any operator considering this kind of automation is: does the agent-assisted pipeline save meaningful advisor time, and at what false-negative cost? The advisor was clear from the outset that recall — not missing acceptable listings — was the metric they would not trade. Any precision improvement is a gift, but a recall regression is disqualifying.

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Cite as: TruPath Labs Research (2026). Real-Estate Site-Search Automation: Hours-Saved and Filter-Accuracy in a Pre-Launch Venue Search. TruPath Labs Preprint TPL-2026-017. trupathventures.net/labs/research/site-search-automation-roi