Automatic
- Research diffs and freshness checks
- Drafts and test execution
- Evidence collection and internal reports
One recurring loop observes the system, prepares changes, verifies evidence, and escalates only the decisions that require a responsible person.
The output is a decision record and one bounded experiment, not another stream of chat.
Collect customer, delivery, reliability, cost, and market signals.
Rank exceptions and opportunities against explicit criteria.
Write the next action, expected evidence, and stop condition.
Run policy, source, test, and authority checks before action.
Perform only the actions permitted for the current lane.
Record the output, acceptance evidence, cost, and residual risk.
Update the system contract, knowledge, or experiment decision.
Every capability belongs to a visible lane. Higher financial, legal, privacy, or reputation impact means stronger approval.