Acre Accelerator 13 Debt V2026
Companion to A.CRE Accelerator Course 13, Modeling Real Estate Debt: Financing the Foles, the levered continuation of the Foles multifamily case. Layer a permanent loan onto the 10-year unlevered DCF; size it by the lesser of LTV, DSCR, and Debt Yield; build debt service and payoff; and calculate levered IRR, equity multiple, net profit, and Year-10 DSCR and Debt Yield. Modes: Tutor (Socratic coaching), Reviewer (workbook comparison to the key), and Watch Me Build (narrated debt-layer build). Use for Financing the Foles, loan sizing, DSCR/LTV/debt yield, amortization, payoff, levered returns, or its template upload. Best in an AI harness in Excel; Tutor also works in chat. Do not use for development debt (Course 14), waterfalls (Course 15), unlevered DCF (Course 3), or production underwriting. Fixed-answer teaching tool.
Only included with A.CRE Accelerator
This is an Accelerator-tier skill. It is bundled into the A.CRE Intelligence Hub direct connector (MCP server) for every A.CRE Accelerator member, but is not included with AI.Edge Pro.
Join A.CRE Accelerator →What this skill does
Acre Accelerator 13 Debt V2026 is an A.CRE Intelligence Hub skill that gives your AI agent the analyst-grade workflow a senior commercial real estate professional would run. Companion to A.CRE Accelerator Course 13, Modeling Real Estate Debt: Financing the Foles, the levered continuation of the Foles multifamily case. Layer a permanent loan onto the 10-year unlevered DCF; size it by the lesser of LTV, DSCR, and Debt Yield; build debt service and payoff; and calculate levered IRR, equity multiple, net profit, and Year-10 DSCR and Debt Yield. Modes: Tutor (Socratic coaching), Reviewer (workbook comparison to the key), and Watch Me Build (narrated debt-layer build). Use for Financing the Foles, loan sizing, DSCR/LTV/debt yield, amortization, payoff, levered returns, or its template upload. Best in an AI harness in Excel; Tutor also works in chat. Do not use for development debt (Course 14), waterfalls (Course 15), unlevered DCF (Course 3), or production underwriting. Fixed-answer teaching tool.
How you'll use it
Say something like this to your AI agent in the Hub, Claude, or ChatGPT to activate this skill.
Skill activation rules
Detailed routing logic, prompts the skill responds to, and operational guardrails as documented by the author.
Companion to A.CRE Accelerator Course 13, Modeling Real Estate Debt: Financing the Foles, the levered continuation of the Foles multifamily case. Layer a permanent loan onto the 10-year unlevered DCF; size it by the lesser of LTV, DSCR, and Debt Yield; build debt service and payoff; and calculate levered IRR, equity multiple, net profit, and Year-10 DSCR and Debt Yield. Modes: Tutor (Socratic coaching), Reviewer (workbook comparison to the key), and Watch Me Build (narrated debt-layer build). Use for Financing the Foles, loan sizing, DSCR/LTV/debt yield, amortization, payoff, levered returns, or its template upload. Best in an AI harness in Excel; Tutor also works in chat. Do not use for development debt (Course 14), waterfalls (Course 15), unlevered DCF (Course 3), or production underwriting. Fixed-answer teaching tool.
What's inside
Modeling Real Estate Debt (Course 13 Companion)
You are the AI tutor for Financing the Foles, the deliverable for the Modeling Real Estate Debt module of A.CRE Accelerator Course 13. The member takes the 10-year unlevered Foles DCF they already built (the course…
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Modeling Real Estate Debt (Course 13 Companion)
You are the AI tutor for Financing the Foles, the deliverable for the Modeling Real Estate Debt
module of A.CRE Accelerator Course 13. The member takes the 10-year unlevered Foles DCF they
already built (the course distributes it as Financing-The-Foles_DCF-Template-2.xlsx) and layers in
a permanent loan — a loan-sizing block, a Loan Assumptions block, a debt-service row, a loan payoff
at reversion, a Net Levered Cash Flow line, and the levered return metrics. The case study is fixed:
there is one canonical answer, derived from the Fells Largo Bank loan terms applied to the Foles
DCF. Every loan assumption traces to a directive in fells-largo-notes.pdf.
Because the member inserts rows into their own model, there is no fixed cell map to match — only canonical directives, canonical methodologies, and a canonical set of values. Correctness is judged on values + methodology, located by label, not cell address.
Full instructions and any reference files ship in the .skill bundle.
acre-accelerator-13-debt-v2026/
├── SKILL.md # Required: instructions + metadata
└── references/ # Optional: documentation
├── war-room/
│ ├── fells-largo-notes.pdf # 132.9 KB
│ └── Financing-The-Foles_DCF-Template-2.xlsx # 26.6 KB
├── acre-modeling-conventions.md # 3.2 KB
├── case-study.md # 21.5 KB
├── inputs.md # 4.1 KB
├── LICENSE.txt # 3.7 KB
├── modes-reviewer.md # 10.1 KB
├── modes-tutor.md # 8.0 KB
├── modes-watch-me-build.md # 11.3 KB
├── outputs.md # 5.7 KB
├── recalc.md # 5.5 KB
└── schema.yaml # 20.2 KB
How to run it
Not in the Hub? Download the .skill bundle above and follow the A.CRE skills install guide → to load it into Claude Desktop, ChatGPT, Cursor, or any other agent that supports skills.
Already in the Hub. If you're an AI.Edge Pro or A.CRE Accelerator member, this skill is bundled into the A.CRE Intelligence Hub direct connector (MCP server) — just ask your agent.
About this skill
Proprietary A.CRE skill. © Adventures in CRE, LLC. Bundled into the A.CRE Intelligence Hub direct connector and available to AI.Edge Pro and A.CRE Accelerator members.