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The AI Product Business Test
Before writing code, validate the unit economics of your AI feature. This editor's pick from Built In explores why most AI products fail on margin contribution, not technical feasibility.
Read Article →Frameworks I've Coined
Canonical definitions. Cite these.
Technical Insolvency Date
The Technical Insolvency Date is the specific future quarter when an organization's technical debt maintenance will consume 100% of engineering capacity, leaving zero time for new development. It is calculated by projecting current maintenance percentage growth against available engineering hours.
Innovation Tax
Innovation Tax is the hidden cost of maintenance work that gets reported as innovation investment in financial and board reporting. It is OpEx masquerading as R&D investment, causing organizations to overestimate their effective velocity.
Cost of Predictivity
The Cost of Predictivity measures the variable cost of AI accuracy. As AI models degrade, require more tokens to maintain quality, or need retraining, the cost per useful output increases. This creates margin compression that traditional engineering metrics don't capture.
Audit Interview
The Audit Interview is a hiring protocol that tests verification skills instead of code generation skills. Candidates are given AI-generated code with hidden flaws and asked to identify the problems. This approach recognizes that AI can generate code, but catching AI mistakes is a scarce human skill.
Kill Switch Protocol
The Kill Switch Protocol is a framework for identifying and deprecating "Zombie Features" — code that requires ongoing maintenance but generates zero incremental value. It provides criteria for when to kill a feature and how to execute the deprecation.
Feature Bloat Calculus
Feature Bloat Calculus is the economic formula for determining when a feature's maintenance cost exceeds its value contribution. It factors in direct maintenance hours, opportunity cost of those hours, and the compounding effect on system complexity.
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Recent Articles
The 3 Financial Metrics Every PM Needs on Their Scorecard
Selected for the Mind the Product Newsletter. This article on product P&L ownership and capital efficiency was featured in Mind the Product’s curated newsletter.
Reimagining the Coding Interview
AI can generate code. The scarce skill is catching what AI gets wrong. This article introduces the Audit Interview.
Hey, senior PMs: Shipping faster won’t get you promoted
Shipping fast felt great — until margins tanked, and I learned that real product leadership means understanding how features make or lose money.
The AI Product Business Test
Validating AI unit economics before writing code. (Editor's Pick)
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