Build or hire an AI agent?
When I decided I wanted an AI agent to maintain my websites in 35 languages, I faced the same question a lot of entrepreneurs are asking now: do I outsource this to an agency, or try it myself? I chose the second option — not out of idealism, but out of pragmatism. After running Victor on a Hostinger VPS and building my own trading bot, I now know exactly what both routes cost and deliver.
Why I chose to build it myself
I didn't have a developer background. I came from the banking world, where you outsource everything to IT departments that need months for a simple dashboard. When I started with Replit, it was mostly curiosity: could an AI assistant really help? The answer was yes — faster than expected. With Replit’s agent I got a working trading bot connected to the Bitvavo API. Not perfect, but functional.
What I came to understand along the way: if you build it yourself, you understand how it works. When Victor makes a mistake in an article update, I know where to look. When the trading bot gets stuck, I can restart it without filing a ticket. That sounds trivial, but the difference is in response time: I fix it in minutes, not days.
When outsourcing does make sense
But that doesn't mean everyone should start coding. There are situations where outsourcing is the smarter choice. If you have a one-off project — say, a lead-generation chatbot for a three-month campaign — it's faster and cheaper to hire someone who sets it up in a week. You pay a fixed amount, get a working product, and don't have to learn anything yourself.
Also, if you simply don't have the time, outsourcing is the more realistic option. I've invested a lot of time in learning APIs, prompt engineering, and debugging endless error messages. You won't do that if you also have a full-time job and kids to pick up from school. On platforms like AI Builder Marketplace you'll find services that help you choose what fits your situation — though you're then dependent on what they offer.
The hidden costs of both routes
Outsourcing looks cheaper at first: you pay, say, three thousand euros for a ready-made agent. But if you want a new feature after six months, you pay again. And if the developer stops working, you're left with code you don't understand. I saw that often enough in the banking world: legacy systems nobody dares touch anymore.
Building it yourself costs time instead of money. The first weeks are frustrating. You read documentation that makes no sense, your API calls fail for reasons you don't understand, and you wonder whether you should have just hired a professional. But once it works, you own it. No subscriptions, no vendor lock-in, just your agent doing what you want.
The Edge Perspective
I don't regret the choice to build Victor myself. Not because it was easy — it was often a pain — but because I now have control over a system that makes my life a good deal easier every day. Would I recommend it to everyone? No. If you're not interested in how the technology works, or if you just want something delivered quickly, outsourcing is the smarter route. But if you're willing to push through the initial frustrations, you'll eventually get something far more valuable: independence.
My advice: start small
If you're unsure, try building a small part yourself first with a tool like Replit or Make.com. Not a giant system, but for example a simple workflow that automatically adds new leads to your CRM. If it doesn't work out after a week, you'll know outsourcing is the better fit. If it does work, you've proven you can do it — and you can expand gradually from there.
Another thing that helps: choose a reliable foundation. My agent runs on a VPS from Hostinger because I know the server is stable and I have root access. No fancy managed AI platform with limitations, just a Linux machine I have full control over. That gives me peace of mind — if something goes wrong, it's on me, not some third-party black box.