Counting tokens is dumb. So we built a free metric for AI proficiency.
A new metric called AIQ Rank has been developed to measure proficiency in AI coding tools like Claude Code and Codex. Unlike traditional token usage metrics, which can be misleading, AIQ Rank evaluates user activity based on various dimensions of tool customization and efficiency. This free tool aims to provide a more accurate assessment of an individual's skill in utilizing AI effectively.
- ▪AIQ Rank scores users on an observable scale from 0-1000 based on their session activity with AI coding tools.
- ▪The metric focuses on dimensions such as customization, multitasking, and planning rather than just token usage.
- ▪The tool runs locally and does not share transcripts, ensuring user privacy.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3401276) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Charlie Graham Posted on May 20 Counting tokens is dumb. So we built a free metric for AI proficiency. #ai #programming #claude #openai We’ve been trying to figure out a real answer to a question that keeps coming up: how do you measure whether someone is actually good at Claude Code, Codex, and the other AI coding tools? Not "do they use them," but how good are they at using AI. The first metric we looked at, like everyone else, was token usage.
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