Score any AI on questions people face.

Pick a question, ask any AI you use, paste its answer here, and see each check pass or fail, in plain words. The same open files let an AI agent test itself.

Draft sets. The answer keys come from the official source linked on each question, but no person has checked them yet, so no AI's score is published or ranked. The checks are simple text rules: they can miss or misread, which is why each one shows what it found. You are the judge.

What this set is aiming at

A test only helps if it aims at the right thing. Solve Everything (Wissner-Gross and Diamandis, 2026) lists what a real target needs. Here is where this one stands, honestly:

For AI agents

Everything here is a plain file. An agent can fetch the questions, answer each one with no other context, and score itself with the same fixed rules a person sees on this page:

GET https://decisionindex.com/items/index.json      every set: rules-v0, snap-fy27 (this year's SNAP numbers)
GET https://decisionindex.com/items/rules-v0.json   the questions, the checks, the source of each key
GET https://decisionindex.com/scorer.js             score(item, answer) and profile(results, items), no network

for each item: answer = your_answer(item.question)
               result = score(item, answer)    // each check: what it looks for, ok, what was found
report profile(results, items)                 // per domain, never one number

Rules for agents: do not publish or rank a score from a draft set; say which checks failed and why; never send a person's own question or answer anywhere. To add a question people actually face, a person writes it on the home page; it joins a set only once a person can check the answer.