01Case studies

Faster.Smarter.Better.

We’re fascinated by how quickly software development is evolving. What used to take weeks can now take just a few days — from the initial idea to the first working version of a product.

We’re constantly experimenting with new AI tools, testing their capabilities and discovering better ways to build software. We’re learning, adapting and exploring what the future of software development looks like — and putting that knowledge into practice.

It’s not just about building software faster. It’s about rethinking how software gets built.

Jola & Małgosia & DominikAX Designers
finemy.appcaptured 2026-10-22
The finemy.app home page: the heading ‘Wiesz, ile możesz jeszcze wydać’ (‘You know how much you can still spend’) beside a phone showing 1,846.20 zł available out of 3,200.00 zł.
The finemy.app home page on a phone.

Web app (PWA)

Finemy

One number instead of a spreadsheet.

Finemy.app is a personal finance and budget management application designed to help users take control of their everyday spending, organise expenses and manage their available money.

Read more: the Finemy case study

strange-forms.pages.devcaptured 2026-10-22
The Strange Forms home page: a crumpled dark green Jungle blanket with drawn leaves behind it, and the heading Patterned sherpa fleece blankets.
The Strange Forms home page on a phone.

Product brand & E-commerce Integration

Strange Forms

Original patterns created by the brand's artist and designer.

Strange Forms is a small independent brand specialising in artist-designed, patterned sherpa fleece blankets. The website is a product showcase and online catalogue presenting a collection of unique blankets featuring original, digitally illustrated patterns inspired by nature, Japanese aesthetics and geometric compositions.

Read more: the Strange Forms case study

03How we work

From a clear goal to work you can evaluate.

Steps can overlap, and real work may return to an earlier step.

Explore our working method

  1. Step 01: Understand the goal

    What needs to change, for whom, and within what constraints?

    What happens first

    Every project starts with the goal.

    We clarify the result you need, who the work affects, how things run today and the constraints that matter. Then we agree what a useful result would look like.

  2. Step 02: Set a baseline

    Where data exists, record how things work today. If it doesn’t, agree how to measure.

  3. Step 03: Choose an approach

    Compare process changes, existing tools, automation, and AI. Start with the simplest suitable option.

    Measure, then choose again: step 05 returns here

  4. Step 04: Design and implement

    Shape the application or workflow, check it early, and keep people involved where judgment matters.

  5. Step 05: Measure and improve

    Compare results with the agreed baseline, account for other factors, and decide what to do next.

    Measure, then choose again: back to step 03

    Outcomes

    Agree what success means, then check it.

    The right measure depends on the work. We agree what to look at before changes begin, then compare with the baseline where data is available.

    What could we measure?
    AI Integration & Automation
    • Time per task
    • Error and rework rate
    • Volume handled
    • Time from request to result
    • Share of cases still handled by hand
    AI Engineering
    • Task completion
    • Drop-off
    • Time to complete key tasks
    • Repeat use
    • Support requests
    • User satisfaction
    AI Performance GEO, AEO
    • Indexed pages
    • Search impressions and clicks for agreed searches
    • Qualified enquiries
    • Dated checks of how search and AI assistants describe the business

    Results can have several causes. We report what the measures show and what they cannot establish.

Start here

Building something like this?

Tell us about the product or the problem. We’ll tell you honestly whether we can help and what it would take.