Instructing AI seems easy.
The hard part is knowing how.
The trap
You try to build yourself. The quality is sub-par quality, complexity creeps in, and soon you're fixing instead of building. By month four the problems have multiplied, a new shiny thing emerges, and you repeat the cycle.
The cost
Every week of build is a week of burn: salaries, time, opportunity. Bloated scope means building something nobody truly needs. You see other people advancing better, and it frustrates you. Now it's costing your sanity.
The way out
Build the smallest impactful thing that works, in weeks not months. Working improvement you can measure every week, so you see progress instead of vanity metrics. Rinse and repeat.
Scoped from the audit
Your audit's build order becomes the spec. Fixed scope, fixed price, agreed before we write a line.
Working output weekly
You clear the path: access, decisions, no politics. I build, and you see a live build every week.
Rinse and repeat
Deployed, documented, trained and handed over. Walkthrough for your team so they can continue. No lock-in because I don't want that either.
Measurable output
Working MVP · Source code + docs · Team training
Pricing: Quoted from your audit's build order. Typical builds: €5,000-€12,000
Fixed scope, fixed price, agreed before I write a line. No hourly billing.
This is for you if: you've done the audit, or arrive with a problem scoped just as clearly. You want working software in weeks, not quarters. You're the decision-maker.
This is not for you if: no clear scope, vague "just build me this with AI" without data-backed reasoning. Shopping for the cheapest vendor. You need a 50-person enterprise rollout.
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