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May 8, 2026

What I learned shipping a product I had no business shipping

Two weeks ago, at 11pm on a Tuesday, I was trying to figure out what a Stripe webhook is. This morning, a stranger paid me for the product it powers.

I'm not a developer. I've never shipped software. The site you're reading this on — the survey, the payment flow, the email system, the database underneath it all — I built. Mostly at night, mostly with no idea what I was doing, mostly by asking AI for help and then asking better questions when the answers didn't work. Someone took the 5-minute survey, got a free score and a basic report, and decided the full paid version was worth $29. I refreshed Stripe four times to make sure it was real.

Before I get into what I think this means, let me say what this is: an educational project. I have a full-time job, but I've spent the last few months going deep on AI — what works, what doesn't, what it actually unlocks for someone without a technical background. I think what's happening right now is genuinely transformational for a lot of people, and I want to share what I'm learning so others can do the same.

What AI actually unlocks

The popular framing is that AI is a productivity tool. Same job, done faster. There's data behind that — a Stanford and MIT study of 5,000 customer support agents found AI boosted productivity by 14% on average, with the biggest gains (34%) going to novice workers. That's real, but it's a small story.

The bigger story is the one I've been living for the last six months: AI rewards a different set of traits than work used to.

The old work economy paid a premium for raw analytical skill, deep expertise, and credentials. Those still matter — but their relative value is going down. The premium is shifting toward different things: willingness to try, low ego, low risk aversion, comfort with not knowing yet, willingness to ship something rough and iterate.

I don't have a CS degree. I can't tell you what's elegant Next.js code and what isn't (I don't even know what that actually means, if I'm being honest). What I can do — and what got me here — is keep going when I have no idea what's happening, ask better follow-up questions, and ship things I'm slightly embarrassed by. Those used to be soft traits that didn't show up on a resume. Now they're the things that compound the fastest.

The productivity studies miss this part because they only measure people doing tasks they could already do. The more interesting story is what becomes possible. A year ago, I would not have built this site. Not because the tools didn't exist — they did — but because the gap between "I have an idea" and "I can ship it" felt too wide. AI didn't make me a developer. It made the gap small enough to step across.

The same pattern shows up everywhere I look. Marketers shipping their own landing pages. Analysts building their own internal tools. PMs running their own user research at ten times the volume. The common thread isn't technical skill — it's a willingness to try things that used to require someone else's help.

The hard part isn't capability

The hard part is starting.

You don't need a $5,000 course. You need three things: the right tools for your situation, a tiny bit of directional guidance to point you at the highest-value first move, and the discipline to actually start before you feel ready. That's it. Most of what people sell as AI education is a workaround for the fact that nobody wants to start something they might be bad at.

What I'm doing now

I'm going to keep building, and I'm going to keep sharing what I learn — the tools that worked, the ones that didn't, the moments I got stuck, the things that finally clicked. If any of this resonates, follow along:

I had no business shipping this. That's exactly the point.

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