Traditional corporate training often feels disconnected from everyday work. Skillio helps bridge that gap with personalized five-minute sessions, job-specific AI simulations, and instant feedback.

The mobile experience supports role-based learning across professions, with interactive chat and voice exercises that recreate realistic workplace situations. A lime-green, lavender, and deep-green palette, bold typography, and a flower-shaped performance chart make progress easy to understand and engaging to explore.

Explore the project on Dribbble: https://dribbble.com/shots/27808131-Mobile-App-Powered-Employee-Training

My AI assistant runs all day. The expensive model only does the thinking.

Most requests need no AI at all. "Call me in 30 minutes" is handled by plain code. Reminders, schedules and limits are code too.

Short tasks like sorting and scoring go to fast models on a free tier.

The big model only gets planning and long conversations, where it actually has to think.

If it hits a limit, a backup model answers instead of the app going silent.

If your AI app's bill keeps growing, check what really needs the big model.

What does your app send to the most expensive model?

Same pattern holds in outbound tooling. Filtering, dedupe and enrichment lookups are plain code. The model only writes the first line once the row is already verified. Cuts cost and the weird outputs.