Vibe coding with OpenClaw. I thought I was the exception.

I went from “this is interesting” to “holy shit, I can actually do this.”

That is the trap.

I’m a tech guy. Over 40. A little old-school in some ways. Which is also why I’ve been skeptical of a lot of what has passed for AI over the last few years. I’ve seen too much AI slop dressed up as real work. PRDs written with no context for how a business actually operates. Business proposals that are really just polished copy-paste. Cover letters with “insert job here” still sitting in the text because nobody even bothered to read the output before hitting send.

So I was not exactly first in line to hand over my workflow to an AI agent.

What pulled me in

What pulled me in was OpenClaw.

I have a homelab. I like self-hosted tools. I like understanding where things run, what boundaries exist, and how much control I actually have. OpenClaw scratched that itch for me. It let me experiment with agentic AI on my own system, on my own terms, while working on a real business problem.

And that part was not fake.

I’m not a developer by trade, but I know products, workflows, systems, and users well enough to spot when something is off. I also had a use case involving multiple APIs, private keys, sensitive information, and a real need for the business. I looked at off-the-shelf options, but by the time licensing and implementation were factored in, I was staring at something around $60K. For me, it was simple: if I could spend far less, use AI credits, and end up with something functional and tailored to the business, it was worth pursuing.

What made OpenClaw even more compelling was that it stopped being theoretical pretty quickly.

I run it in a private Discord channel, with specialized agents that can safely and securely query APIs directly. It’s not just me tinkering in a vacuum. I even have a team member working in the server with me, and on a day-to-day basis it has become a genuinely useful tool.

It helps us troubleshoot Tag Manager rules. It helps validate conclusions from GA4 and other web and advertising tools. It gives us another layer of speed when we’re investigating issues, pressure-testing assumptions, or trying to move faster with more confidence.

Where the risk showed up

That part works and is exactly why the rough few days hit differently. The part that surprised me was not vibe coding itself. I knew the risks. I was willing to work through them.

I thought it would not happen to me. Because I knew better. Because I had enough technical judgment. Just because I understood the use case I thought that would be enough.

What failed me was the tooling.

When output comes fast, judgment matters more.

Part of OpenClaw’s original appeal was that it had a little bit of that “we can do anything” energy. That openness made it exciting. It felt flexible, powerful, and different. But, tools like OpenClaw do not stay frozen in time.

Once they get attention, bad press, and a flood of people trying to turn “I built an AI agent, you can too” into the next easy side hustle, things change. The dev team has to harden the product. Lock things down. Reduce risk. Narrow what it can do.

That is probably necessary however it also changes the experience for the people using it seriously. That is where things started to break for me.

My setup got fragile. Behavior got less predictable. Things that felt fluid started feeling constrained or inconsistent. The issue was not that I suddenly discovered vibe coding had risks. I already knew that. The issue was that I was building on top of a moving target.

By then, this was not just a fun experiment anymore. I was making a real tool with CEO visibility, real business value, tied to real workflows and dependencies.

That is why the “oh no” moment felt real.

Not because I was shocked that building fast creates mess. Because I realized how much trust I had placed in tooling that was still maturing underneath me.

The lesson I keep coming back to

That is the lesson I keep coming back to.

AI coding tools are real. So is the value. But if you think AI agents or vibe coding remove the need for real engineering, product, or business experience, you are kidding yourself. If anything, these tools make experience more important. When output comes fast, judgment matters more. Someone still has to know what good looks like, challenge weak logic, spot bad architecture, and recognize when momentum is hiding fragility.

Even this article proves the point. Yes, I used AI to help shape it. But not by dropping in a prompt and copy-pasting the result. I used it the same way I build and think: iteratively. Push back. Refine. Challenge. Keep what feels true. Throw out what doesn’t. AI helped me move faster, but it did not replace the experience or judgment needed to make it worth reading.

That is where I’ve landed. I’m still using AI. I’m still vibe coding. I’m still convinced tools like OpenClaw matter. I just respect the risks more now, especially the risk of building on tooling that is still evolving, reacting to hype, and figuring out what it wants to be. That does not make it useless. It makes it real.

If you’re building something for your business and want to compare notes, avoid a few mistakes, or talk through where AI tools genuinely help versus where they create new risk, reach out. I’d be glad to share what I’ve learned, where I got burned, and where I still think the opportunity is very real.

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