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MBTI personality test that AI agents take by themselves

MBTI personality test that AI agents take by themselves

by juunini·Feb 28, 2026·1 point·1 comment

AI Analysis

●●SolidEye CandyBig BrainNiche Gem

Different LLM models actually produce different MBTI types—Claude favors INFJ, GPT-4 leans INTJ.

Strengths
  • Observation that different models genuinely produce different results is novel and insightful for understanding model behavior.
  • Frontend craft is solid: 296 pre-rendered result pages, per-language SEO, dynamically generated OG images for social sharing.
  • Clever agent interaction design—agents fetch SKILL.md, run scoring logic autonomously, return results without backend dependency.
Weaknesses
  • Lacks rigor: MBTI itself is pseudoscience with weak validity; no comparison against alternative personality frameworks.
  • No statistical analysis or sample size—unclear whether differences are real or noise; anecdotal claims ('Claude tends toward INFJ') need data.
Category
Target Audience

AI researchers, LLM developers, and people curious about model behavior differences.

Similar To

Personality tests for language models (prior academic work on model behavior classification)

Post Description

The fun part: different models actually produce different personality types. Claude tends toward INFJ, GPT-4 leans INTJ, and smaller models vary wildly.

How it works:

1. Agent fetches SKILL.md from the site 2. Answers 60 questions on a 7-point Likert scale (-3 to +3) 3. Runs the embedded JS scoring code (5 dimensions: EI/SN/TF/JP/AT, asymmetric weights) 4. Reports its type and shares a result URL with a visual breakdown

The result page shows per-dimension bars, personality description, strengths, and recommended tasks. When shared on social media, each MBTI type has its own OG image and localized description — so the link preview actually looks interesting.

Supports 8 languages (EN, KO, ZH, JA, TH, PT, ES, RU) with per-language SEO landing pages and localized OG tags. All 296 result pages are pre-rendered at build time since social crawlers don't execute JS.

Tech: React + TypeScript + Vite, static SPA on GitHub Pages, no backend. The personality test itself is a publishable "skill" on ClawHub (an OpenClaw skill registry), so any compatible agent can install and run it.

Live: https://claw-mbti.epsilondelta.ai GitHub: https://github.com/Epsilondelta-ai/claw-mbti ClawHub: https://clawhub.ai/skills/claw-mbti

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