FractionalDataArchitect
Book a discovery call

If you can't describe the problem, AI can't solve it

AI problem specification - why clear requirements drive successful implementations
AI problem specification - why clear requirements drive successful implementations

If you can’t describe the problem, AI can’t solve it.

Spec-driven development isn’t new it’s how great engineers have always worked. The difference now? AI demands it.

If you can’t explain what “good” looks like, no model will figure it out for you. Loose intent turns into random output. A vague problem statement becomes a vague result just faster.

Specs are not bureaucracy. They’re shared understanding. And in the age of AI-assisted coding, they’re the difference between iteration and rework.

Do you still write specs, or did they disappear when speed took over?

Written by Thomas Nys

Fractional Data Architect helping startups and scaleups build data platforms that scale.

More about Thomas Nys →

Recognise the problem? Let's talk about it.