AI & product engineering

How we build digital products today

AI agents in development—tools in the team, not a show

For us, AI agents aren't a single writing tool. They run with the work from discovery through documentation: clear tasks, small steps, human review before moving on.

Iterative agent loops across the full development process

Diagram: AI agents in the development process—six phases, Ralph loop, human-in-the-loop, and how people, agents, and systems work together

Agents don't replace a team. They extend it.

Good digital products don’t come from automation alone. Agents analyse, structure, and prepare work—with a clear goal, solid context, and people accountable for the outcome.

Our human-in-the-loop principle:

Agents speed things up.

People decide.

The team owns the outcome.

Working principle: Direction, Loop, Review

Direction

People set the goal, context, and priority. Problem, constraints, and a measurable outcome first.

Loop

Agents take on structured prep work in bounded iterations—analyse, design, implement, test, document.

Review

People review from a domain and technical angle. What holds goes into code, docs, and the next iteration.

How are you using AI in development?

On the call: direction, iterative loops, and human accountability—not more code at any cost.

Contact & intro call

Write to us or book a slot directly. In an intro call we clarify where you stand, what is blocking you and what makes sense as the next step.

Call: 15-minute video call, pick a slot in the calendar.
Message: Briefly describe your topic, we usually reply within 1–2 business days.

Example topics: new product, modernization, e-commerce, technical due diligence.

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