AI  |  Infrastructure  |  Workflows

Build the model.
Build the database.
Build the system that runs your deals.

The build school for CRE operators. Build your own deal platform one stage at a time, with AI doing the typing and you directing the build. You keep everything you make.

NYMT  ·  Barings  ·  Wells Fargo
150+ deals underwritten. Taught by the person who built the platform.
5
Technologies, Excel to AI
6
Stages you build and own
Zero
Coding experience required
Hour 1
Deployable at your desk
The Problem

Everyone has AI now. Almost nobody knows how to build with it the right way.

01You passed on three deals last quarter. No bandwidth to underwrite them. What were those worth?
02AI returns a number in seconds. Send an LOI on a hallucinated assumption and you lose credibility you cannot buy back.
03The Excel Frankenstein takes eight hours to update. One miskeyed cell in a 30 million dollar deal costs more than a year of training.
04IT's queue is six months long. And the platform holds your data hostage. You pay every year and own none of it.

You don't need another subscription. You need to know the right tools to build a working system owned by you.

The Build Track

Six stages, five working systems. You leave owning all of it.

Each stage walks you through building a piece of your own Front Office deal management system. Underwriting. Reporting. Workflows. Automations. You run the firm.

Stage 0
Predevelopment
You ownThe Ledger in an Hour: push a real deal into a live database, twice, in your first hour.
PayoffYour first deal lands in a database in under an hour.
Included in Annual and up
Warm-up stage
Stage 1
The Model and the Contract
You ownThe 132-month underwriting model, push-ready.
PayoffUnderwrite once; every future deal reuses the model.
Included in Annual and up
Analyst (Model Builder)
Preview
deal_versions - Preston Rd
v1Initial screenimmutable
v2IC revision, sourcedimmutable
Stage 2
Build the Deal Ledger (SQL)
You ownOwn the database your model has been pushing to since day one, the start of your firm's intelligence warehouse.
PayoffA three-hour reconciliation becomes a five-second query.
Included in Full Access and up
Associate (Deal Ledger Builder)
Stage 3
Ship the Command Center (Power BI)
You ownLight up the ledger: four live pages your team runs on.
PayoffIC-ready dashboards your committee actually trusts.
Included in Full Access and up
Director (Command Center Author)
Stage 4
Build Your Deal Desk (Python + AI + capstone)
You ownThe intake engine and the bridge: one deal walked from broker email to an IC-ready versioned record.
PayoffWeeks of manual intake collapse into an afternoon.
Included in Full Access and up
VP (Deal Desk Architect)
Stage 5
The Firm OS
You ownThe governed operating system your whole shop runs on.
PayoffYour whole shop runs on one governed system.
Included in Founders and Enterprise
Partner (Platform Architect)

Every stage ends with a tool you can use, not a certificate on a wall.
From Stage 1 up, the credential comes with it.

Technologies you will master
ExcelSQLPower BIPythonAI

Introduced when the build needs them, never as theory courses. About 92.25 hours across about 66 modules, plus the VP Grand Capstone (25 to 30 hours). Lessons run 5 to 10 minutes; you build along. And the track keeps growing: elective builds, like the OpEx Benchmark from free public data, join Full Access as they ship.

Enter by the tool you need. Leave with the system.

ReleaseAll six stages:Dates published October 1, 2026
The Method

You direct the build. AI does the typing.

Every module runs the same loop. You frame the problem, write the spec, direct AI to build it, and validate every number against your own math. The fifth time you run the loop, it stops being a course exercise. It is how you build anything.

1
Think
Frame the problem in deal terms.
2
Spec
Write down exactly what to build.
3
Execute
Direct AI to build it.
4
Validate
Check every number against your own math.
5
Iterate
Run it again, tighter.
Build one - the underwriting model
spec: underwriting-model.md
01132-month cash flow
02Named-range assumptions
03Push button to the database
04Pull a saved version back
The underwriting model built from the spec
Build two - the intake engine
spec: deal-intake.md
01Read the broker email
02Classify the deal type
03Route to a human to approve
04File it, versioned
Preview
Deal Desk - intake
1Broker email in
2Classified
3Human-approvedyou approve
4Filed and versioned

Same loop. Different build. The spec is yours. The keystrokes are not.

Alpha runs its own firm, every day, on systems built with this exact loop.

Monday Morning

Built Sunday. Deployed Monday.

A deal snapshot pushed into a database
Hour one
Push a live deal snapshot into a real database.
A sensitivity grid in the underwriting model
Week one
A sensitivity grid that recalculates itself, wired to named ranges.
A rent roll scrubbed into clean tables
Month one
A rent roll scrubbed in seconds instead of an afternoon.

Every lesson passes the same test: if you cannot use it at your desk this week, it is not in the curriculum.

Who It's For

Built for the deal desk, not the dev team.

This is for you if
VPs, Directors, and Principals in CRE or PE who want to underwrite faster without adding headcount.
Rising analysts who want to be the most leveraged person on the floor: the one who solves the most, not the one who types the most.
Team leads at lean shops, two to fifteen people, who need their team self-serving most of the reporting and automation.
Any deal professional who has tried AI but cannot get consistent, defensible results.
Not for you if
You want to become a software engineer. Try a bootcamp.
You want generic prompt-engineering tips disconnected from real deals.
You need theory-heavy computer-science fundamentals.
You are fine with AI producing numbers you cannot trace or defend.
Joshua Sampson, founder and instructor, Alpha CRE
New York Mortgage TrustBaringsWells Fargo
Who Teaches It

Joshua Sampson

150+ Deals UWSQLPythonPower BIEx-NYMTEx-BaringsEx-Wells Fargo

I underwrote 150+ multifamily investments and built the data and analytics platforms institutional investment teams ran on, across New York Mortgage Trust, Barings, and Wells Fargo. I set out to build an AI deal desk. Instead, I am teaching the build, with AI where it earns its place.

Most consultants understand deals but cannot build infrastructure. Most developers build infrastructure but cannot explain a waterfall.

Lifetime access for founding members. Everything you build is yours to keep.Join the Founders Club
Pricing

Flat tiers. Each one takes you further up the track.

Annual
$199/yr
Save $50 vs monthly
Stages 0 and 1. You own the 132-month underwriting model and its data contract. Earns Analyst.
Opens when The Ledger in an Hour ships
Full Access
$499/yr
Save $100 vs monthly
Everything in Annual, plus Stages 2 to 4: the ledger, the command center, the deal desk. Four credentials, Analyst through VP. Plus every new elective as it ships.
Opens when Stage 3 ships
Open now
Founders Club
$1,499 once
Everything in Full Access, plus Stage 5. All five credentials. Forever.
Founding cohort capped at 100 seats
Enterprise
$5,000+
Teams and cohorts.
The Alpha Credential Ladder
AnalystAssociateDirectorVPPartner

Earn the credential at the completion of each stage, and every tier keeps the ones below it. Annual earns Analyst. Full Access earns all four, Analyst through VP. Partner is Founders-only.

Founding Cohort  |  100 seats  |  Dates published October 1, 2026

First 100. Then the price rises.

Lifetime access to the full Build Track, all six stages and every elective after, as they ship, forever$2,994
The founding cohort: paced build sessions across the whole Build Track window$1,500
Office hours, twice monthly, recorded$2,000
The Gap-Memo consult: a 1:1 session to brainstorm or walk through anything you want to build$1,000
Total value$7,494
Founders price, first 100$1,499 once
The Firm OS command center: every room of the firm running on one governed system
What Founders finish with: the Firm OS running your whole shop
What you get, and when

This is a founding pre-sale and nothing is delivered today. Stage 0 ships when it is built. We will publish the date on October 1, 2026, once the build passes its own gate, and we will not publish one before that. Until something is delivered, your money is refundable on request, no reason needed.

Bonus stack
The sample Master Dataset, the template pack, and the MVP walkthrough.
Fast-action bonus
First 10 seats: a 1:1 build review with the founder.

$1,499 once is about 3 years of Full Access. Then it is free forever.

The Build-It Guarantee
Finish the founding cohort and own a working Deal Desk, or get a refund and keep everything you built.
Founding cohort capped at 100 seats

Enrollment closes when the 100 seats fill. The cohort dates are published October 1, 2026.

Join the Founders Club
Not Ready? Start Free

Pull the demographics around any address. Understand the tenant base and the foundation for your underwriting.

An address gets picked live. The demographics get pulled at a radius around the property - chosen out loud, with the reason - the flags get read, and one page gets written: the page an investment committee will actually accept. You keep the read, the runbook, and the script that produces it. Free, on your schedule. It is in production now.

Get it the day it goes live

To run the script on your own addresses afterwards you need your own ArcGIS account and key, billed by Esri, not by us. Watching the class needs nothing.

Questions

How do I learn AI for CRE?

You learn AI for CRE by building real deal tools with it, not by studying prompts. The Apprenticeship runs six stages in which you build your own underwriting model, deal database, Power BI reporting, Python automations and AI workflows, directing the build and checking every number it returns against your own math. You keep everything you build.

How do I build with AI in commercial real estate?

You build with AI in commercial real estate by framing the problem yourself, writing the spec, letting AI do the typing, and validating every number against your own math. That loop is the whole method here, and it is the difference between a tool you can defend in an investment committee and a number you cannot trace.

Do I need a technical background?

No. You need to be a solid Excel user. Everything past Excel is taught from zero, and AI does the heavy typing while you learn to direct and verify it.

What do I get today, and what ships when?

Today, nothing. This is a founding pre-sale, you are buying ahead of delivery, and the price reflects that. Stage 0 ships when it is built, and we publish the date on October 1, 2026 once the build has passed its own gate. We would rather tell you that than name a date we are not certain of. Until something is delivered, your money is refundable on request, no reason needed. Nothing on this page is sold as finished that is not finished.

How much time does it take?

Lessons are 5 to 10 minutes and you build along. The first stage is about an hour. A stage a month is a comfortable pace; the cohort keeps you moving.

What is the Build-It Guarantee?

Finish the founding cohort and own a working Deal Desk, or get a refund and keep everything you built. The Deal Desk is the Stage 4 artifact, so the cohort window always runs far enough to reach it. Those dates are published October 1, 2026.

What happens after the first 100?

Enrollment closes when the 100 seats fill, or on the close date we publish October 1, 2026, whichever comes first. After that the Founders price rises and the founding-cohort bonuses close.