The AI Popsicle Index: a human-first way to measure AI

There's a quiet little metric we love. The Popsicle Index, coined by former U.S. Assistant Secretary of Housing Catherine Austin Fitts, asks one disarmingly simple question about a community: can a child safely walk to a local store, buy a popsicle, and come home alone?

It's brilliant because it measures how a place actually feels to live in — trust, safety, connection — instead of a cold number like GDP. A neighborhood can have a booming economy and a terrible Popsicle Index.

AI has the same problem, and nobody's talking about it.

We measure AI by output: tokens generated, lines shipped, tasks automated, how "busy" the agent looks. None of those numbers ask the only question that matters: did the human end up better off?

So here's our take — an AI Popsicle Index, tuned for people building with agents. Five questions, asked honestly:

1. Is your idea actually shipping — or stuck in a pile of half-finished pieces?
2. Are you in control — building with the AI, with no rogue detours?
3. Is your time respected — real progress, not re-explaining yourself every session?
4. Is your compute well spent — value created, not just tokens burned?
5. Would you be proud to ship what you have so far?

Score it. If those are high, it almost doesn't matter how many tokens you spent — you're winning. If they're low, no amount of output volume will save you.

This isn't anti-AI. It's a refusal to confuse motion with progress. It's why our tools compute this score locally, right alongside your project — the one number we think is worth watching.

Not "how much did we generate?" But "did the human end up better off?"

The Popsicle Index is Catherine Austin Fitts' concept; the AI adaptation here is our own.