Models
LBO, M&A, DCF, three-statement, and sector-specific shells, structured to deal-team standards and ready to fork.
Armory · Template Library
Never start from a blank cell again.
Vetted, version-controlled models, decks, and cheatsheets you can fork and deploy, so your hours go to the judgment calls, not the scaffolding.
Why it matters
The blank workbook is a tax you pay over and over.
Every time you rebuild a three-statement shell or re-derive an LBO waterfall from memory, you spend scarce, judgment-grade hours on scaffolding that should already exist. You start from a vetted base, fork it, and put your time where it compounds: the assumptions, the normalization, the deal narrative.
AI can generate the easy parts, but it produces generic architecture on specialized builds and breaks where it matters most: LBO waterfalls, project finance. Our templates are that expert structure, already built and pressure-tested, so you fork a base that is correct where AI tends to be confidently wrong.
Source: Knowledge / AI Capability Assessment 2026
/Ship from a higher floor.
A vetted base means faster output and far fewer structural errors than a workbook you rebuild under deadline.
/Stay current by default.
Templates track current conventions and AI tooling, not a 2019 download rotting in a shared folder.
/Compound your own toolkit.
Version control means every fork and improvement makes your next deal sharper.
/Buy back judgment-grade hours.
With the scaffolding handled, your time goes to the decisions AI cannot fake.
What's inside
Models, decks, cheatsheets.
Decks
Pitch and IC-memo structures that give you a defensible skeleton instead of a blank slide.
Cheatsheets
Formulas, conventions, and the specific AI failure modes to watch for as you build, so you catch the model's confident mistakes before they reach a partner.
Proof and credibility
AI scaffolds models fast, and that speed is real. But on specialized builds it produces generic architecture and gets the hard parts wrong, exactly where a mistake is most expensive. Our templates are that missing expert structure, version-controlled and ready to fork, so you keep the speed and skip the structural risk.
Source: Knowledge / AI Capability Assessment 2026 · Perplexity research, 2026
Straight answers
Before you ask.
I already have my own templates, why pay?
Because these are maintained, version-controlled, and paired with AI-era guardrails yours almost certainly are not. A two-year-stale template is a liability dressed as a head start.
Can AI just generate these for me?
It will hand you a generic shell that is wrong on the hard parts, the waterfalls and specialized structures. Start from a vetted base, then customize.
What is free and what is paid?
A free shelf for students to learn the structure from real templates. The full library is part of the professional subscription.
Are they actually any good?
Built to deal-team standards and kept current. Inspect the free shelf before you decide whether the full library earns its place in your workflow.
