We built AI that's constrained to your component library - so it can't go off-brand
Something we kept seeing across every enterprise team we work with: AI design tools generate fast, then the cleanup takes longer than building from scratch.
The pattern is always the same. The AI generates a beautiful dashboard. Everyone's impressed. Then someone looks closely. Wrong button variant. Spacing doesn't match the system. The card uses a shadow you deprecated months ago. The loading state doesn't exist. A developer receives it and rebuilds everything using the real components anyway.
The generation was fast. The aftermath was expensive.
I am right now in the last effort to publish Skyty 1.2 with a new NightSky Feature to identify star, planets and constellations on night flights. Hope to be able to release within next days. Let me know if you're interested in a TestFlight.
Your data doesn't match. GA4 says one thing. Search Console says another. Your CRM says something else. They're all tracking the same campaign, same time period, and they give you different numbers .
This isn't a bug. It's how the systems are built. GA4 measures sessions and modeled behavior. Google Ads measures ad interactions. Search Console provides aggregated impression data. Your CRM tracks identified leads . They were never designed to agree.
The result? You spend hours trying to "fix" the numbers instead of acting on them. Imagine this : having an operating system for SEO & GEO, that actually reads your Google Analytics, your GSC, Bing webmaster, treat your data, explain it to you, and ACT!
