Master Plan

AI × Mortgage Wealth Engine

Fuse hard assets + scalable tech · build capital for self and community

A 25-year window where closing the racial wealth gap runs on two levers: acquiring hard assets and leveraging scalable technology. The play is to fuse them — and Jermaine sits at the rare intersection of licensed mortgage origination, real estate finance, and a built-out AI production stack.
🎯 The Four Pillars

1 · Weaponize the AI + Mortgage Crossover

2026 mortgage is pivoting to agentic AI (end-to-end origination, doc processing, initial underwriting). Most LOs don't understand the tech; most devs don't understand origination. Jermaine understands both. Build automated lending workflows in n8n on local Docker — sell orchestration to mid-size brokerages cutting origination costs, or deploy internally to grow pipeline volume without adding hours.

2 · Democratize Capital via DSCR

DSCR bypasses W-2 income and DTI — a historical chokepoint for Black wealth creation. Double down on The Loan Insider education: teach underwriting a property on rental yield, not personal credit. Teaching the community builds an educated, ready-to-buy client base for the CA + MO origination pipeline.

3 · Control the Transaction Lifecycle

The notary commission turns single-fee transactions into multi-touch revenue, and puts a trusted, knowledgeable face at the closing table for first-time Black buyers and investors. ⚠ See compliance flag below — notarize OTHERS' closings, not your own originated loans.

4 · Scale the Technical Playbook

Delivery gigs = independent venture capital; the cash flow covers API overhead (Midjourney, ElevenLabs, OpenAI, server infra) without stressing the emerging businesses. Use AI Hustle Mentor to document the process in real time — give the community blueprints for using generative AI for economic leverage, not entertainment.

⚙️ Automated DSCR Origination Workflow (n8n)
1
Webhook Node
The Intake Webhook

Investor submits a form (site or Calendly) → POST with name, email, property address, estimated rent, estimated value.

2
Gmail / Outlook Node
Automated Document Request

Auto-email acknowledging the application and requesting DSCR docs (lease, LLC articles, insurance dec). Include a unique dynamically-created Drive/Dropbox folder link for that lead.

3
OpenAI Vision Node
AI Document Extraction

On upload (secondary webhook), parse the files. Extract actual monthly rent from the lease and exact premium from the insurance dec — replacing the user's "estimated" inputs with verified facts.

4
Code Node (JavaScript)
The Core Math — DSCR
DSCR = Gross Monthly Rent ÷ PITIA
(PITIA = Principal + Interest + Taxes + Insurance + Assoc/HOA)
NOT PITIA ÷ Rent ← the original blueprint had this inverted

Estimate P&I with a standard amortization library at the current rate (keep rate internal). A correct deal example: $2,500 rent ÷ $1,850 PITIA = 1.35.

5
Switch / If Node
Conditional Routing

Path A — DSCR ≥ 1.2 (high viability). Path B — 1.0–1.19 (marginal; manual review or larger down). Path C — < 1.0 (low; rent won't cover debt). Routing is internal triage only — never a consumer-facing approval/denial.

6
HTTP + Slack Node
CRM Update + Internal Alert

Path A → push verified data to CRM (HubSpot / GoHighLevel), tag "Ready to Underwrite." Slack ping: "New high-quality DSCR lead. Rent verifies $2,500/mo. Ratio 1.35. Ready for review." You only step in on mathematically-proven deals.

🛡️ Compliance Guardrails (build these in)
Formula must be Rent ÷ PITIA.

The source blueprint inverted it. Coded backwards, a 1.35 deal computes as 0.74 and the Switch rejects every good lead. Verify the Code Node before going live.

Do NOT notarize your own originated loans.

As the LO earning commission on the loan, you have a financial/beneficial interest — a disqualifying interest under CA notary law, and prohibited by most lenders/title cos. Point the signing business at OTHER originators' and other companies' closings + general signings. Same multi-touch revenue, no violation.

Keep the AI decision internal + fair-lending clean.

No consumer-facing "approval/denial" (ECOA / adverse-action) — loop a human first. Keep rate outputs internal (NEXA bars public rate quotes). DSCR qualifies the property's cash flow, not protected characteristics — the cleaner side to automate. Any origination tool/site → NEXA compliance sign-off (adscompliance@nexalending.com).

🏙️ St. Louis Cash-Flow Sandbox

Family on the ground = bypass the blind-landlord risk. MO is investor-friendly; DSCR + local LLC is smooth. Strategy: cash flow, not appreciation. Numbers below are illustrative — verify live entry prices + HUD Fair Market Rents per zip before acting.

PocketZipsPlay
North County (Florissant, Hazelwood, Jennings)63031Turnkey / light-rehab SFR; strong Section 8
South City (Dutchtown, Gravois Park, Carondelet)63116Brick duplexes; high cash flow per $ invested
St. Charles / West CountyAVOID for this strategy — appreciation, not cash flow

Tactics: local portfolio lenders (Midwest BankCentre, Enterprise Bank & Trust, Simmons) for sub-$100K balances · Section 8 for guaranteed income · BRRRR + DSCR cash-out refi to recycle capital · point the n8n scanner at these zips, cross-ref HUD FMR, ping only positive-cash-flow finds.

Cash flowLow entryMO licensed ✓
▶️ Next Actions (when rested)
  • Build the n8n workflow on local Docker — corrected formula, internal-only routing, compliance guardrails baked in.
  • Submit the tool/any site to NEXA compliance before it touches a real consumer.
  • Loan Insider DSCR education series — underwrite-on-yield explainers that feed the pipeline.
  • St. Louis live-data pull — current entry prices + HUD FMR for 63031 / 63116 before any offer.
  • Document it all on AI Hustle Mentor as the real-time blueprint.
Master plan captured June 2026 · build phase pending
Strategy synthesis — confirm all lending/notary compliance with NEXA + a CPA before execution.