---
type: "page"
slug: "lab-model-parity"
title: "Model parity test"
summary: "A self-assessment for separating the value of a model from the product built around it."
creator: "Rahil Chamola"
updated: "2026-07-23"
canonical_url: "https://rahilchamola.com/lab/model-parity"
preferred_citation: "Chamola, Rahil. “Model parity test.” Curated Randomness, 2026."
---

# Model parity test

A self-assessment for separating the value of a model from the product built around it.

## Question

What survives when everyone has access to a capable model?

## Method

The product-layer score is the simple mean of problem pull, workflow fit, judgment, accumulated context, and trust and control. Model dependence remains a separate axis.

## Claim boundary

The numbers come from the visitor. This is a thinking tool, not market research, a benchmark, a valuation, or a forecast.

## Fallback

A static comparison table explains the four possible product postures without client JavaScript.

---

Creator: Rahil Chamola
Canonical source: https://rahilchamola.com/lab/model-parity
Preferred citation: Chamola, Rahil. “Model parity test.” Curated Randomness, 2026.