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Notes from production

What we learn shipping AI, apps and platforms for our clients. Written by the people who build them.

Glass office tower seen from below

5 min read

Agency, freelancer, in-house or fractional AI lead: who builds your AI

Each option fails in its own way. Agency, freelancer, in-house hire or fractional AI lead, compared on cost, speed, risk and what remains.

Aerial view of glass office towers by a river

5 min read

AI agents in companies: what works in production

Support, lead qualification, documents, internal tools. Where AI agents hold up in production, where they break, and how to measure that one works.

Empty conference room with a screen and a small stage

6 min read

A first version (MVP) in production in 6 weeks, week by week

What a first version in 3 to 6 weeks looks like from the inside: the written scope, a demo every week, what you do on your side and what gets cut.

Reflective glass facade of an office building against the sky

6 min read

Where does our data go? AI, GDPR and the AI Act for decision-makers

Before any AI project, your DPO asks where the data goes. The questions to settle first on hosting, model providers, GDPR and the AI Act, in plain terms.

Atrium of a modern office building, several floors high

6 min read

Build or buy AI: SaaS tool, API or custom development

When a SaaS tool is enough, when an API integration does the job, and when custom work pays for itself. A decision grid for CTOs, with what each costs to run.

Curved glass facade of a modern office building

5 min read

From POC to production: why most AI prototypes stay in a drawer

An AI demo proves that something can work once. To deploy AI in production, you need real data, evaluation, monitoring, a cost model, security and an owner.

Laptop, coffee cup and a small plant on a meeting table

6 min read

How much does an AI project cost a company?

Scoping, build, hosting, cost per request, maintenance. What an AI project costs, what moves the bill, and the running costs most quotes leave out.

Large empty meeting room with rows of tables

5 min read

5 cases where AI does not pay off, and what to do instead

Missing data, low volume, a moving process, a rule that does the job, no owner. Five cases where AI costs more than it returns, and what to do instead.

Modern office buildings along a quiet canal

5 min read

Where to start with AI when you have done nothing yet

No AI in your company yet, and the feeling you are late. A four-step method to pick a first project that reaches production instead of a demo.

Handwritten notes and a pen on a spiral notebook

5 min read

Project scope template: the brief we wish we received

Ten headings, one example line each. A project scope template for app and AI projects, to fill in before you talk to an agency or a studio.

Glass office building reflecting a blue sky

1 min read

What happens in a free AI audit

One hour on your business, then a short document that says what is worth building, what is not, and why. Here is how the audit runs.

Let's talk

No sales pressure. No obligation. Just a clear starting point.

We answer every message, but not every message turns into a project. The audit exists to give you clarity, not to create obligations on either side.