Field notes on running NYC buildings
What we learn watching an AI assistant property manager handle real arrears, insurance, and maintenance.
Why Property Managers Never Respond
A 24-to-48hr reply time and 9-5 office hours are the property management standard. Here is the opportunity that creates.
Read →Should I Self-Manage My Property?
What a NYC management company actually costs, what the fee quietly excludes, and why the model is built to work at a scale where service falls apart.
Read →How to Fire Your Property Management Company
The contract, the handover list, and the data migration almost nobody plans for. Notes from overseeing two management transitions and several software migrations.
Read →Property Management Fees in NYC: What You Pay, and the Ratio That Matters More
NYC rental buildings typically run 4 to 8 percent of collected rent, well below the national average. Why that is, which fee models to distrust, and the number that predicts service better than price does.
Read →What Is a Virtual Property Manager? A Definition Worth Being Precise About
Not a chatbot, not property management software, not an offshore assistant, not a management company. What a virtual property manager actually is, what it does, and where it stops.
Read →CityFHEPS for NYC Landlords: A Comprehensive Guide
The 2026 CityFHEPS payment standards went down. What the program actually pays NYC owners, the late fee rule almost everyone gets wrong, and the five-business-day notifications that get landlords disqualified.
Read →Half Ave vs. EliseAI
EliseAI chases arrears, and does it well. So does Maya. The real difference is three letters: NYC. Compliance, violations, and everything an assistant does beyond collections.
Read →Read the Actual Conversations. We Will Wait.
Eight real exchanges between Maya and real residents in real NYC buildings. Arrears, insurance, a failed payment, a CityFHEPS voucher, and the moment she stops and asks a human.
Read →Does an AI Property Manager Actually Work? Here Is the Honest Answer
Most AI product pages pretend the software has no limits. Where Maya earns her keep for NYC owner-operators, where she stops cold, and why the second list is the reason to trust the first.
Read →I Read 100 Conversations Between My Tenants and an AI. Here Is What Surprised Me.
I expected to grade a chatbot. Instead I found something that starts the conversation, carries the relentless eighty percent, and knows the exact moment to hand the resident to a human.
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