Who’s behind it

Joshua Brueckner working at a laptop, black and white portrait — Joshua Brueckner, founder

Hi, I’m Joshua.

I was Chief of Staff at a fast-growing AI company, where you’d expect the team to be experts in using AI. Instead, I saw so much AI slop from my coworkers that I felt closer to Claude than to them.

While I was ahead of most of my coworkers, our CEO was miles ahead of me. Watching him work was inspiring. It showed me just how much faster and better I could become. But even though I worked with him more closely than anyone else, I couldn’t ask him for advice. It wasn’t that he would have minded. His focus was the most valuable thing in the company, and protecting it was literally my job. I was working remotely too, so there was no one at the next desk to lean on either.

Meanwhile I was under the same pressure as everyone else to produce more and move faster. To keep up, I built an automation to send the executive team their action items after every meeting. One day it ran without my supervision, something that was never supposed to happen, and sent out action items from a meeting that were plain wrong.

The AI doesn’t get in trouble when it’s wrong; the person who trusted it does.

A couple of weeks later, I was laid off. I’ll never know the exact reason, but that mistake certainly didn’t help.

That experience didn’t make me want to use AI less. When it works, it really works. I can accomplish in an afternoon what used to take me a week. But when it fails, it’s confidently, absurdly wrong, which stings even more because “intelligence” is in the name. The real issue wasn’t the tool. I had no guardrails around it, no habit of double-checking, and no one to ask whether the setup would hold. So I went and got properly good at this, and changed the way I work.

Ahead is exactly what I needed back then. Someone who’s already done what you’re trying to do, who keeps up as the tools change, and whose whole job is you.

About Ahead

The models are smart. Getting good work out of them is a different skill.

Ahead pairs you with one person who is genuinely good at this, and the two of you work on your own real work together, an hour at a time. It’s the same person every session, so you’re never starting over. They help you build things, fix the ones that have stopped working properly, and come back to them as the tools keep changing.

We call this AI calibration. That’s just our name for keeping the way you work with AI honest and current, instead of setting it up once and hoping.

Why we exist

Almost everyone is expected to be good at AI now. Almost nobody was actually shown how.

That gap turns up in the same few ways, everywhere, at every level of seniority.

It looks finished, and then it isn’t.

You read it back, it sounds right, so you send it. Someone further down the line finds the part that isn’t true, or the thing that was supposed to be in there. The writing was never the problem.

Something you set up quietly stops working.

It ran fine the first few times, so you stopped checking it. By the time you notice, you don’t really know how long it’s been wrong, or what went out while it was.

The tool everyone loved gets dropped.

Your team moves onto something, builds around it, and a few months later half of you have quietly gone back to doing it by hand.

When any of that happens, nobody blames the AI. Your name is on the work, so it comes back to you.

Here’s the part we keep coming back to. None of it actually goes wrong at the moment you hit send. It goes wrong earlier, in how the thing was set up, which tool you picked, and what you did or didn’t tell the model. All of that is learnable.

You just don’t really learn it from a video. You learn it by doing it, next to someone who has done it before and can tell you why your version is going to break.

And it doesn’t stay learned, which is the annoying part. New models come out, tools get shut down, and something you set up a few months ago needs another look. That’s why Ahead is an ongoing hour rather than a one-off.

So the short version of why we exist: we want to close the gap between what AI can do and what people can actually rely on.

The operators

The people you’d actually want to ask.

Most companies have one person everyone goes to about AI. They know which model to use for what. The things they set up are still working long after everyone else’s have quietly broken. And when you ask them something, the answer fits how you already work instead of starting from scratch. They’re usually doing all that on top of their actual job.

Those are the people we hire. They’re senior, they build with this stuff every day, and we choose them based on things they’ve actually made rather than how they describe themselves. They come from engineering, design, marketing, finance, operations and plenty of other places, so we can match you with someone who has already dealt with the kind of work you do.

The difference between your operator and the helpful person at your company is that this one is genuinely yours. They’re outside your company, so nothing you ask them travels anywhere. And you’re not spending a favor every time you ask.

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Become an operator

If you're that go-to person that everyone asks about AI, we'd like to talk to you.

You’ll know if this is you. You’ve built the workflows that actually hold up, and now you’re the one people message when their automation breaks or they can’t get the output they need. Most of the time you’re doing it for free, in between your own work.

We’ll pay you for it. We match you with members who work in your field, book the sessions for you, and take care of the invoicing, so there’s no finding clients and no chasing anyone for money. You just turn up and help someone with a real problem they’re stuck on.

One thing worth knowing before you apply. We don’t really read CVs. We’d rather look at something you’ve made and hear how you made it.

No sourcingNo sellingNo chasing invoices