Guide/Start Here

New Here? Start Here.

Three steps from diagnosis to action. Free tools, 340+ definitions, structured learning — everything you need to treat engineering as a capital function.

01

Diagnose

Run a free diagnostic tool — takes 60 seconds

Start with the Product Debt Index to quantify your technical debt in dollar terms. Or try the AI Unit Economics Benchmark to find your AI collapse point.

Product Debt Index (PDI) →AI Unit Economics (AUEB) →Revenue Per Engineer (APER) →Valuation Engine (EV-SE) →
02

Learn

Understand the frameworks behind the numbers

Explore 340+ glossary terms, structured learning tracks for CTOs, PMs, and Investors, and published frameworks on technical debt, AI economics, and R&D capital allocation.

Glossary (340+ Terms) →Curriculum →Product Economist Doctrine →Articles & Frameworks →
03

Act

Get expert advisory or implement yourself

If the diagnostics reveal risk, take the next step. Book a $2,500 diagnostic engagement, or explore fractional CTO and board advisory options.

Advisory Services →Pricing →Case Studies →R&D Audit Checklist →

Who Built This?

Richard Ewing is a Product Economist and AI Capital Auditor. He has scaled B2B SaaS to $25M ARR and is the founder of Exogram, verification infrastructure for AI. Published in CIO.com, Built In, Mind the Product, and HackerNoon.

About Richard →Published Work →