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Web App Engineering

The hard part isn't building AI.
It's shipping it.

Most AI features never leave the demo. We design, build and run the ones that do: inside real products, with real users, on infrastructure that holds up.

support/assistant grounded · 4 sources
Every claim links to the document it came from.

Building for the web since 2015

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The gap

The demo is the easy part.

Anyone can wire up a prompt. The work that actually costs time is everything after: grounding the model in your data, handling the answers it gets wrong, keeping latency and cost sane, and shipping it into a product that already has users.

Effort to ship an AI feature

A demo ships the first cell. Production fills the rest.

The demo Production

Prompt

This is all a demo ships. The rest is what makes it a product.

01 AI features

AI that lives inside your product.

Not a chatbot bolted onto the corner of your site. Features that use your own data and do real work.

support/assistant grounded · 4 sources
Every claim links to the document it came from.
  • Grounded in your own content

    Retrieval over your documents, products and history, so answers cite something real.

  • Inside existing workflows

    Generation and summarisation where your users already are, not in a separate tab.

  • Structured extraction

    Documents, email and forms turned into data your systems can act on.

  • Evals and guardrails

    A test set from day one, so you know when the model is wrong before your customers do.

  • Budgets set up front

    Cost per request and response time agreed before we build, not discovered after.

AI development

02 Agents & automation

Put the busywork on autopilot.

The repetitive work your team does by hand, handed to something that does not get bored.

automations last 24 hours
Approval steps sit exactly where the stakes justify them.
  • Multi-step agents

    Real tasks completed end to end, with a human approval step where the stakes justify it.

  • Connected to your tools

    The systems you already pay for, wired together properly instead of by copy and paste.

  • Scheduled and event-driven

    Work that starts because something happened, not because someone remembered.

  • Fully auditable

    Every action logged, so you can answer what happened and why.

  • MCP servers

    Your team's own AI tools given safe, scoped access to your systems.

AI development

03 Web applications

Production-grade Laravel, start to finish.

Ten years of building the boring, reliable substrate that the interesting parts run on.

app/Actions/PublishArticle.php +4 −1
Every change ships with the test that proves it.
  • Applications and APIs

    Laravel back ends built to be read and changed by whoever comes next.

  • Integrations

    Stripe, Mollie, Shopify, WooCommerce, and whatever else your business already runs on.

  • Design, not just implementation

    Interface and interaction design in-house, so nothing is lost in a handover.

  • Hosting and monitoring

    Deployment, backups and alerts set up once, properly.

  • Maintenance that happens

    Dependencies and security patches applied on a schedule, not on an incident.

Web app development

04 Performance & SEO

Fast pages rank. Fast apps convert.

Measured, not asserted. This site scores 100.

lighthouse · mobile vuewer.com
Measured on a throttled mobile connection, not a laptop.
  • Core Web Vitals in the green

    Largest Contentful Paint, interaction latency and layout shift, all measured on real devices.

  • Technical SEO

    Structure, schema and internationalisation done once and done correctly.

  • AEO and GEO

    Written to be the answer, and structured to be cited by AI search.

  • Query and database work

    The slow page is usually one query. We find it.

  • Security hardening

    Headers, dependencies, access control and the boring checks that prevent bad weeks.

Web app development

How we work

One engineer. No handoffs.

The person you talk to on the first call is the person writing the code. That is the whole advantage, and everything below follows from it.

  1. 01

    Discover

    A call, then a written scope with a fixed price. If AI is the wrong answer, we say so here.

  2. 02

    Design

    Interface and architecture decided before code, so the expensive decisions are made cheaply.

  3. 03

    Build

    Shipped in weekly slices on a staging URL. You see progress, not status reports.

  4. 04

    Ship

    Deployed, monitored, documented and handed over. No dependency on us by design.

  5. 05

    Maintain

    Optional retainer for updates, improvements and reserved capacity when you need it.

Stack

Proven tools, chosen on purpose.

A short list we know deeply beats a long list we know slightly.

Laravel OpenAI Anthropic Stripe Mollie Shopify WooCommerce WordPress PayPal Mailchimp Booking.com Amazon

The numbers

Raise the quality bar. Lower the overhead.

Lighthouse performance
100
On this site, on mobile. Verify it yourself.
Building since
2015
Ten years of production work for European clients.
To a live AI feature
3 weeks
Typical time from first call to something your users can touch.
Person in your way
1
No account managers. No delivery leads. No handovers.

Pricing

Published figures. Fixed prices.

Hourly for small work, a fixed price for projects, a retainer when you need reserved capacity.

See all pricing

FAQ

Questions worth asking.

All questions

Who is behind Vuewer?

Vuewer is a boutique engineering studio run by Alexander (Sander) van Hooff, its founder, designer and web engineer. You work with him directly, from the first call through to handover. Our clients are predominantly other development companies, marketing agencies, and businesses that need help with their digital projects.

What kind of AI features can you actually build?

Retrieval-augmented search over your own content, document and email extraction, generation and summarisation inside existing workflows, and multi-step agents that complete real tasks. In practice that means a support assistant that answers from your documentation, a pipeline that turns incoming invoices into structured data, or an agent that drafts work and hands it to a human to approve.

How long does an AI feature take to build?

Three to six weeks from first call to a feature your users can use, for a well-scoped first feature. Week one is discovery and building the eval set, week two is the build, week three is hardening and shipping. Larger or more integrated work takes longer, and we will say so before you commit.

What does it cost?

Hourly work is €95 per hour. Websites start at €1.499, custom web applications at €4.999, and a three-week AI feature sprint at €7.500. Ongoing retainers start at €1.950 per month. Every project gets a fixed price in writing before it starts.

What if I'm not satisfied?

Then we keep working until you are. We have a one hundred percent satisfaction guarantee, and in ten years we have never needed to argue about it. Weekly delivery is what makes that possible: problems surface in week one, not at the end.

Which languages do you work in?

English, Dutch and Spanish. Projects, documentation and code review can be run in any of the three.

Get in touch

We'd love to hear from you.

Do you have a question or need help with a website or web application? Whether you are starting from scratch, refining what you already have, or stuck on something complex.

Fill in the form and we'll get back to you as soon as possible.