Paul Slavinski is a Senior Associate at Senné, one of Boston's top real estate firms. He spends most of his day doing property research the old-fashioned way — manually searching the Middlesex Registry of Deeds, the Cambridge Assessor's database, and MLS listings. Tab after tab after tab.
He didn't know AI could help. He'd never used any AI tools. He just knew the research was eating his time.
Austin met Paul through Murat Armbruster, an existing Feral Bots client who'd been onboarded to the Pro tier earlier that same day. Murat invited Paul to Blue Ribbon BBQ for ribs and a chat about "this AI thing."
"He spends most of his time researching the Middlesex Registry of Deeds and Cambridge Assessors database and the MLS database. That's the work an AI could likely help him with the most as it burns the most of his time."
Austin texted four facts from the dinner table: Paul uses a Mac, he needs comps and ownership tenure research, he has no AI tools, and his three databases. That's all Samantha needed.
While Paul was still eating ribs, the AI went to work.
Custom feasibility assessment of Paul's three databases, with a proposed automated workflow and build timeline.
12 property matches from obituary cross-referencing. $23.1M assessed value. 2 life estates already transferring.
The AI found two life estate properties where title is already transferring — meaning the property is legally changing hands right now, post-death, with no probate delay. These are the most time-sensitive leads in the report.
It also identified a $2.1M single-family on Sparks Street where the owner died in December and all three children live out of state (New Haven, San Francisco, New York). The probability of a sale is high — nobody's moving back to Cambridge.
The oldest holding: 238 Huron Ave, owned since 1964 — 62 years. A two-family in Huron Village assessed at $1.36M. The basis gap alone tells a story.
This isn't a chatbot answering questions. This is an AI agent doing real research — querying public APIs, cross-referencing multiple data sources, applying domain logic (life estates, ownership tenure, family geography), and delivering formatted, actionable intelligence.
The same cross-reference that took the AI 5 minutes and 39 seconds would take a human researcher hours or days of manual work across multiple browser tabs.
Every broker knows estate sales are a significant source of inventory. But the research workflow is brutal: scan obituaries, guess at property ownership, manually search the assessor's database, check the registry for deed history, pull MLS comps — all by hand.
What if that ran automatically every week?
New obituary published → AI checks assessor data → cross-references ownership type and tenure → flags high-probability estate sales → delivers a formatted brief to your inbox before the listing hits MLS.
That's not a hypothetical. That's what happened tonight. At a BBQ. While eating ribs.
Here's the part that matters for the business: Murat Armbruster was onboarded as a Pro tier client at 2:37 PM. By 6:00 PM — less than four hours later — he had already referred Paul Slavinski. By 8:20 PM, Paul had a custom proposal, a live research demo, and an email in his inbox.
Day one of Murat's onboarding. First referral. First case study. The flywheel is spinning.
Whether it's property research, deal analysis, or client intelligence — if you're spending hours on data grunt work, an AI concierge can give you that time back.