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Questions, answered.

How we work, what it costs and what you get. If yours isn't here, ask us directly.

General

Working with us

How do you decide what the AI should do?

We start from the problem and the result you want, like faster replies or fewer manual steps. Then we design the AI around that result and measure it against it, so it earns its place in your product.

What kind of products do you build?

Mostly web apps and platforms: internal tools, dashboards, marketplaces and SaaS products, plus mobile apps when needed. We handle design, front end and back end.

Can you add AI to a product someone else built?

Yes. We start by talking to your team and reading your code to find where time is lost, then build on what you have, without rebuilding it.

What does an AI agent audit involve?

We run your agent through the real tasks your users give it, many times each, and check the result, not just the reply. You get a report of what fails, how often, and what to fix first.

How much does a project cost?

Every project gets a fixed price after the first call, so you know the full cost before we start. Audits are the smallest; full products the largest.

Who owns the work?

You do. All code, designs and tests are yours from day one.

How long does it take to hear back?

We reply to every message within one working day, usually with a few times for a free 30-minute call.

From an idea

Product Design and Development

Do you build MVPs?

Yes. Most product projects start with a focused first version that proves the idea with real users, then grow from there.

Which technologies do you use?

Modern, widely used tools like TypeScript, React and Next.js, chosen so any good team can maintain the product after us.

Can you take over an existing product?

Yes. We review the code and design first, then improve it step by step instead of starting over.

From a product

AI Integration

Will AI replace our support team?

No. It handles the routine questions so your team can spend time on the ones that need a person. Anything unclear is handed over with full context.

Is our data safe?

We build with your data staying under your control, use providers that don't train on your data, and agree on what the AI can and can't access before we start.

Which AI models do you use?

We choose the model for the job, based on accuracy, cost and speed on your own tasks, and can switch later without rebuilding.

From AI you already run

AI Agent Audit and Evaluation

What kinds of AI can you audit?

Customer support assistants, internal assistants, and agents that take actions in tools, whichever model or framework they're built on.

Do we need to share our code?

Not always. Many audits only need access to the agent itself and examples of real requests. We'll agree what's needed on the first call.

What happens after the audit?

You keep the report and the tests. We can fix the issues ourselves, or hand everything to your team.

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