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Why Does AI Never Quite Get You? Because It's Missing Your Identity Core

Long-Form Video · EP0062 July 16, 2026 3:04
What this episode covers

We all want AI to understand us better: tune the prompt, add memory, write a pile of rules. And yet when it makes judgments on our behalf, it still often "doesn't get you." I've long thought what's missing is one specific thing—your "identity core," meaning your real ordering of values.

Stanford ran an experiment with 1052 people: defining a person with labels like education, age, and MBTI tops out at 74%, while a two-hour deep interview that forces out a real ordering of values reaches 86%—and people are already using it to build "digital avatars" of real consumers. I spent a few hours building a small app that reproduces the interview, saved the result as Markdown, and fed it to Codex / Claude Code. When it makes choices, it turns out to understand me better than I understand myself. Like looking in a mirror.

I’ve got a pretty bad cold today, but here’s a short one for you anyway.

A lot of the time when we use AI, we come away with the same feeling: it doesn’t understand us. When it makes decisions and choices, it often doesn’t run the way we really wanted.

Our first instinct is to go tune the prompt, add memory, write more rules. But I’m increasingly convinced that a big piece of what’s missing is its grip on our identity core—it doesn’t know what our real ordering of values is.

The Stanford experiment

A while back I came across a Stanford experiment with 1052 participants. The question behind it is a fundamental one: what does it take to really define a person?

The traditional way we define someone is by labels, which is also how ad targeting works: stick a set of sociological and behavioral labels on a person—education, age, gender, occupation, even MBTI—and infer their values and lifestyle from there.

But that approach turns out to be inaccurate. It only gets you to about 74%.

Stanford’s approach: run roughly a two-hour deep interview, get the subject to narrate their own life story, keep probing details, and use one thought experiment after another to force out their real ordering of values. That gives you a far more accurate “identity core” model, one that reaches 86%—a full 12 percentage points higher.

Someone has already turned this into a business: building “digital avatars” of real consumers at scale. So when you’re planning a marketing push or a PR project, you can run these avatars to predict how a specific audience will react to a given campaign or public event.

I built a small app myself

I was curious enough to dig up the details of the experiment online and spend a few hours building a small app. It came out pretty interesting.

Once you’re in, it interviews you the way Stanford did, across 11 domains, following up until the conversation gets genuinely deep. Friends who’ve tried it usually spend anywhere from 20-odd minutes to half an hour. The deeper, the more detailed, the more honest you go, the more accurate the result.

At the end it hands you a profile of your “identity core”—honestly, even I was surprised at how cleanly it teased apart and ranked my values (that part gets into some private territory, so I won’t publish it).

Then, based on that profile, it also generates an “identity core portrait” using the avatar you upload, with your keywords and one line that sums you up printed on it. Quite a few friends of mine have made that image their social media profile picture after taking the test.

The line summing me up came back as a neat little couplet: “Strive, and prove yourself; stay true, and keep your heart.” It hit me harder than I expected.

The key step: feed the core to your agent

But the genuinely interesting thing about this app isn’t the image. It’s this:

You can copy the test result out, save it as a Markdown file, and hand it to your agent—Codex or Claude Code, either one.

Once it has that “identity core,” it knows how you rank things when a real choice comes up. So when AI is helping you plan something or pick between options, its judgment comes out much closer to what you actually want—closer, even, than you understand yourself.

Getting a result like that is a bit like looking in a mirror. It’s kind of fun.

One note

This test runs on top-tier models plus GPT Image 2 for the portrait, so it costs real money. If you want to look into this mirror yourself, come find me—cover the cost and you can try it.

All right, that’s it for today. See you tomorrow—and here’s hoping I feel better by then. Bye.

Copy that "identity core" into a Markdown file and hand it to your agent—when it makes choices, it will understand you better than you understand yourself.