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01 / 08Active evolution
LOCAL AI OPERATING SYSTEM
CIEL + NOBI
AI assistant case study: NOBI explored broad autonomy; CIEL focuses on bounded actions, safety gates, and observable outcomes.
What this project is trying to make possible.
Explore how an assistant can participate in a user's digital environment while keeping local actions understandable, bounded, and recoverable.
A plain-language view of the system.
- A command enters a strict classifier and execution pipeline.
- The executor applies safety checks, permissions, and timeouts.
- A narrow agent delegates the request to one atomic skill.
- The system returns a structured result that can be inspected and tested.
What the project demonstrates today.
Where the next useful versions could go.
- Planner and task decomposition
- Permissioned voice and vision skills
- Visual execution console
- Memory and recovery phases