Architecture
The architecture behind reusable AI skills.
A typical request becomes a first run, an approved Kybernis skill, and a low-confidence update loop that reroutes through approval before the path is reused.
Inside
What this page covers
When confidence drops, the runtime reruns the work, Kybernis proposes the update, and the human stays in the loop before the saved skill changes.
Saved skill
Low confidence
Agent runs again
Human reviews
Skill updated
Next time
Next step
What work should Kybernis learn first?
Start with one typical request. Let the agent do the work once. Approve the skill for next time.