Tactical writing for founders building AI products. What we learn shipping marketing, healthtech, and fintech systems, written down while it is fresh.
AI-built apps break first at authorisation, database access rules, leaked secrets and unverified payment webhooks, not at the feature they were built to demo. They fail at the thing nobody demonstrate
Fraud detection is one of the few systems in a fintech stack where the cost of a wrong decision cuts both ways. Miss a fraudulent transaction and you eat the loss and, eventually, the chargeback. Bloc
Every fintech that touches money eventually hits the same wall: a single-processor integration that was fine at launch becomes the thing that caps your authorisation rates, blocks your expansion into
The best AI development agency for a fintech MVP depends on your stage: an enterprise bank programme and a seed-stage lending startup need very different partners. This guide compares eight agencies o
In most early-stage fintechs, compliance is a spreadsheet, a shared drive of screenshots, and one stressed person who becomes unavailable for anything else in the two weeks before an audit. It works u
The temptation with AI underwriting is to point a gradient-boosted model at your loan book, optimise for AUC, and ship. It works right up until an applicant is declined and asks why, or a regulator as
Most AI features in fintech die in the gap between the demo and the audit. The model works in a notebook, the founder shows it in a board deck, and then compliance asks a question it can't answer: why
Every article on this blog is written by someone who built the thing; not a content marketer reading docs. Real lessons from production, written down while they are still fresh.
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