Notes from building real systems
Field reports from work I've shipped, mostly for mortgage, home-equity and real-estate teams, plus playbooks you can copy. Today I build CRMs for small and mid-size businesses; see what I can build.
What a CRM migration costs a small business, and how long it takes
A CRM migration for a small business starts at $2,500, usually takes 1–6 months depending on size, and costs $50–$300 a month to run afterwards. Here's what drives each number.
Should you leave HubSpot? What it costs, how to get out, and when to stay
What HubSpot costs a 10–30 person team in 2026, why the bill keeps rising, how to get out of the contract, and when staying is the right call.
Why 95% of AI projects fail — and why building in-house makes it worse
MIT found 95% of enterprise AI pilots show no P&L impact, and RAND puts AI project failure above 80%. Why the build is the problem, and in-house is worse.
Mortgage AI got the document work. The judgment is where it's stuck.
Mortgage AI handles document classification (63%) and reading (54%), but only 21% of underwriting decisions. The gap is about trust, not the model.
Real-estate agents adopted AI. They still won't trust it on a price.
82% of agents use AI (RPR), but 63% name output accuracy as their top concern. Adoption isn't the gap anymore; trust is, and it has to be engineered.
The AI-lite problem: why most mortgage vendor AI stops at the LOS door
AngelAi's CEO called most lender AI 'AI lite: safe but shallow.' Why mortgage vendor AI stays in chat and lead nurture, away from the loan system.
Home Equity Investment is a $4B asset class with no LOS
$4B+ in HEIs were securitized in 2026, yet every operator built its own stack. Hometap, Point, Splitero, Unlock and Unison all built rather than bought.
Anatomy of an HEI eligibility engine: four investor overlays, zero LLMs in the decision
Field report from a multi-program HEI operator: four investor overlays and a sale-leaseback product, run from one settings table, no LLM in the decision.
You can't hire a senior AI engineer fast enough — here's the math
Senior AI engineers in 2026 cost $300K–$500K all-in and take six months to land. For a $2–10M revenue operator, that math doesn't work. Here's what does.
How we cut a home equity platform's lead-to-close cycle in half
Field report from a multi-program HEI / HEA / SLB platform. Voice intake, agentic enrichment, eligibility integration. What we shipped, what broke, what stuck.
The 7-specialist review pipeline that keeps AI features from breaking in production
A reusable playbook: seven structured review passes before any AI feature ships. Catches the failures that pilot-stage AI code carries into production.