Category
Selected long-form pieces from the studio.
A quote for a headless shop looks larger than the platform price suggests. Here is where the money goes, what founders underestimate, and when the spend pays back.
A plain-language guide for founders and business owners on writing a specification your studio can price, build and test against, without writing any code.
A compact worked example of a requirements document, with the quality targets most briefs leave out. Use it to brief a studio and get a quote you can compare.
A stage-by-stage plan for deciding what to build, what to rent and how to brief a development partner, so each euro buys learning or revenue.
Ranked lists tell you who exists, not who fits. Nine practical checks cover platform advice, integrations, pricing, references and what you own when the project ends.
A practical framework for founders and product owners: choose one use case, check your data, set a stop line, run a pilot, then decide to stop, continue or rebuild.
The label covers very different work, from AI inside your product to AI inside the build process. Here is how to separate the two, understand cost drivers, and choose a provider with confidence.
Published hourly rates run from about $10 to $100, but the rate is only one input. Here is what it leaves out and how to turn it into a budget.
Six decisions that shape an AI MVP before any code is written: one narrow job, data readiness, a one-page spec, the build route, pass marks and ownership.
A build quote prices version one, not the life of the product. Here is where the money goes, which lines quotes leave out, and how to compare estimates.
Published MVP price ranges differ by a factor of fifty. This guide explains what actually moves the number, what a quote should include, and how to budget for evidence as well as code.
The build-or-buy question is rarely all or nothing. Learn how to split a product into parts you rent and parts you own, and where integration costs hide.