We have shipped a lot of apps with CodeSky AI. We have also told a lot of customers, "this one is not the right fit". Here are the five signals we look for.
1. The product is the UX
If your differentiator is a single hand-crafted micro-interaction — say, a unique gesture in a drawing app — generated UI will get you to "this works" but not to "this feels right". Use the AI for the surrounding scaffolding, and own the hero interaction in code.
2. You need certified compliance from day one
HIPAA, PCI level 1, SAMA-regulated banking flows: these are real constraints that need an audit trail spanning architecture, infra and process. CodeSky-built apps can run inside a compliant environment, but the certification itself is your work, not the tool's.
3. The data model is your IP
Some companies protect their schema like a secret recipe. If your moat is a deeply tuned domain model, generate the surrounding app, but bring the schema yourself.
4. You already have a senior team idle
This is a real one. If you have four senior engineers with capacity, asking them to coordinate around an AI-generated codebase can be slower than just letting them ship. Force-multipliers multiply the team you have.
5. The product is short-lived
Counterintuitively, true throwaway internal tools are often better for AI builders, not worse. The signal here is "short-lived and high-stakes" — a one-week emergency tool that touches production data warrants more care than the speed-to-launch is worth.
The other 80%
For everything else — internal dashboards, MVPs, customer portals, simple SaaS, regional e-commerce — an AI app builder is the highest-leverage choice on the table in 2026. Knowing the 20% where it isn't is what makes the 80% go fast.