Why we don't compete with the people we build for

Ask a development partner whether you should build a feature, and the answer is worth exactly as much as their indifference to the outcome. If they ship products into your category, they are not indifferent. They may still be honest, but you now have to audit the advice, and auditing advice is most of what you were paying them to save you.

So we structure the firm so the question never arises. We build for a client's market and never in it, and we decline engagements that would place us opposite an existing client in their own category. That constraint costs us revenue occasionally. It is also the only reason the recommendations are worth anything.

Where the conflict actually shows up

It is rarely a dramatic betrayal. It is a roadmap conversation where the hard feature keeps getting deferred, a build-versus-buy recommendation that lands on the partner's own product, or a data-access clause nobody reads carefully. Each is defensible in isolation.

The structural fix is simpler than policing any of it: make sure the firm has nothing to gain from the answer.

What we do run, and why

We operate a portfolio of our own properties. That is a proving ground rather than a business line: it is where a retrieval pattern, a tracking change, or a content engine gets tested against real traffic and real money before it is recommended to anyone.

It also keeps us honest about operating cost. A firm that has never paid its own inference bill will cheerfully design you a feature that is insolvent at scale.

What to ask any AI vendor

Whose repository, whose cloud account, whose domain? Do you launch products in your clients' categories? What have you personally been paged about at three in the morning? What does this cost per request at ten times the traffic?

None of those are trick questions. They are just the ones a supplier can answer immediately and a reseller cannot.