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Observations, convictions, and field reports on building business software.

Results 7

Vibe coding for companies: safely from AI prototype to business app

With Lovable, v0, or Claude Code, domain experts now build in hours what used to take months. To turn the prototype into a business app, five questions need answers.

PracticeVibe coding

Off-the-shelf software is rarely expensive to buy. It gets expensive to use.

The price is on the quote. The spreadsheets, the double data entry and the workarounds aren't — and your business pays for them every single day.

InsightsStandard software

Build or buy: when off-the-shelf software is enough, and when it isn't

Buying is right when your problem is a standard problem. It's expensive when it isn't. Here's how to tell the difference.

InsightsStrategy

AI-native doesn't mean the AI makes the decisions

Where AI really speeds up software development, where it leads you astray, and why judgment matters more because of it, not less.

PracticeAI

“What will it cost?” Why every project starts with a Discovery Sprint

Without discovery, every estimate is speculation. What we clarify in one to three weeks, and what you have in hand afterward.

PracticeProcess

An MVP isn't a throwaway prototype

An MVP should help you learn from the market early, without technical baggage that catches up with you in twelve months. What to leave out, and what not to.

PracticeMVP

AI agents under Swiss data protection: lessons from VERSIFY

For a platform for insurance brokers, we built AI agents that analyze contracts and pre-check claims. Three requirements had to be met at the same time.

Case StudiesInsurance

Interested in discussing a similar operational challenge?

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