AI can now build almost anything you can describe. That makes selection the real moat.

What to build AI tools make possible

The answer is not everything. The answer is a product tied to a painful workflow, a reachable niche, and a repeat trigger.

Replit, Cursor, Windsurf, Lovable, and Bolt made app creation faster. They also flooded the market with faster copies.

Three questions worth asking first

Who feels the pain every week. Where do they complain or pay today. What would make the tool part of an existing routine.

Those questions beat what is technically possible. Builders who skip them end up with polished demos that nobody opens twice.

AI expanded supply. It did not lower the bar for usefulness.

Look for workflow wedges

The best opportunities usually sit inside an existing stack. A recruiter already lives in ATS software, LinkedIn, email, and spreadsheets. A good tool removes one ugly step from that loop.

Ramp won finance teams by making core spend control easier. Clay won growth teams by fitting into prospecting workflows they already ran.

Avoid the dead zones

Avoid broad AI wrappers with no unique data. Avoid novelty apps with weak repeat behavior. Avoid products that depend on everyone changing habits at once.

Also avoid high risk categories unless you can prove trust. NCSC warned in 2026 that weak AI generated code can create serious security problems in business settings.

A simple build-worthiness test

Score the idea on pain, frequency, distribution, trust, and differentiation. Anything below three out of five on two of those dimensions is probably not worth building yet.

Then interview five people in the niche and ask them to walk through the current workflow. Hidden friction usually appears there.

Where Sparks enters the loop

Sparks helps vibe coders decide what to build AI tools should tackle first. Use reverse thinking to rule out bad categories, SCAMPER to sharpen a known market, and AI scoring to compare options.

That gives you a thinking layer before the build layer. Right now that layer matters more.