Questions, answered plainly.
The things teams ask before booking a call. If yours isn't here, just ask.
What do you actually build?
Three kinds of work. First, online stores, mostly Shopify, where we improve things like checkout, product pages, and the flows that turn visits into sales. Second, web apps and platforms: dashboards, internal tools, and full products built from scratch, including the heavy, data-rich screens that off-the-shelf tools can't handle. Third, AI features such as support assistants and smart on-site search. Whichever it is, it's real working software tied to a result you can measure.
What does “measurable, or it's not done” mean?
Before any work starts, we agree on the one number it should improve, for example more sales per visit, fewer support tickets, or a faster page, and we write it down. We don't call the work finished until we can show that number actually moved. For AI, we go a step further: it has to hit an agreed accuracy level on real examples before it ever goes live. If it can't, you don't launch it and you don't pay for something that doesn't work.
How do you price, and in what currency?
We bill in US dollars. There are four common ways to start: a one-week audit that finds the best opportunity (from about $1,500), a full build of one system (from about $6,000), ongoing senior help embedded in your team (from about $2,500 a month), or pay-per-result work where you’re billed for outcomes like resolved support tickets. These are starting points. You get an exact quote in writing after a short call, once we understand the scope.
Do you take on client and partner work, or only build your own products?
Both. Our own products come first: Pitch Prophet, Edulinks.ng, and NairaBiz. The same senior engineers who build those also take on client and partner work. You get people who run software in production, not a team that only ships slide decks.
What is the “evals harness” you keep mentioning?
It's our way of proving an AI system actually works. We build a set of tests using real questions and your real data, then automatically check two things: how often the AI gives the right answer, and whether it sticks to your information instead of making things up. The results show on a simple dashboard, and the tests re-run every time we change anything, so a fix never quietly breaks something else. The point is that you can trust the AI, and see proof, before your customers ever use it.
Is Veraclins a big agency, a team, or one person?
It's a small, senior studio led by founder Clinton Agada, who has eight years of senior software experience and deep e-commerce background. The people who plan your project are the ones who build it. We don't sell with senior staff and then hand the real work to juniors. That keeps quality high and communication direct.
How soon can we start, and how fast will you reply?
We reply to every enquiry within one business day. A one-week audit can usually begin within a week or so. For larger builds, we write up a clear plan and scope first, so you know exactly what you're getting before any work or payment begins.
Do you only do AI?
No. AI is just one of the three things we do. A lot of our work is online stores and web apps with no AI involved at all. We lead with whatever genuinely moves your number. Sometimes that's AI, and often it's simpler, more reliable engineering.