field notes · written by the founder

Notes from the fieldon AI for real estate.

Original essays, agent observations, and product walkthroughs — published when there's something real to say. Not a content mill, not SEO filler. AI-native real estate in plain English.

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Industry

Real estate referral network: how RESPA-aware agent-to-agent referrals actually work

A real estate referral network is only useful if the referrals close, the splits are honored, and nobody trips over RESPA. A working guide to how a modern agent-to-agent network is structured — and where most of them fall apart.

7 min · Read →
Industry

What AI-native CRM actually means for real estate agents

The buzzword of the year, and most of what is sold under that label is a chatbot bolted onto a database. A working definition of AI-native CRM and what changes when the AI is the runtime, not a feature.

8 min · Read →
Field notes

Why AI for real estate agents should charge a flat fee — not a commission split

The new wave of AI real estate brokerages charges a basis point of every deal. The math at 5/10/15% tech-fee scenarios — and why a flat-fee model keeps your business yours.

8 min · Read →
Field notes

The five hours every real estate agent loses to follow-up — and what AI takes off the plate

A week of activity logs from 14 real estate agents in two markets. The follow-up workload was almost identical at 5.2 hours. Here is what AI lead nurture absorbs, broken down by activity.

9 min · Read →
Product

AI CMA generator for real estate — how Alma builds a CMA in 90 seconds

A 5-step walkthrough of an AI CMA generator for real estate agents — from address paste to seller-ready PDF in 90 seconds — and what we learned tuning the comp model across two very different markets.

8 min · Read →