Use case
AI can only propose an action; a person must approve it and issue a one-time go-ahead before anything runs.
Public materials do not show how users currently handle this; they may rely on manual approval or full AI trust, but this is unverified.
AI agents acting autonomously on high-stakes operations can cause irreversible harm; without human approval, security and compliance risks arise. Public materials do not quantify the cost or frequency of leaving this unsolved.
xOcto's call
Demand is evidenced
The trend is propose-then-approve becoming the default for high-risk automation. The entry is payments, shipping, and permission changes, where one tap costs money; make approval a gate you cannot skip, not a log you read later.
Reason to use it
Why users would choose it
The public repository has 166 stars, showing developer interest in AI agent safety governance, but repeat use and payment are not verified.
Where the easy answer breaks down
The tension worth following
An English validation note will follow from the public evidence.
If this is your job
Worth trying. The public repository has 166 stars, showing developer interest in AI agent safety governance, but repeat use and payment are not verified.
Entry and what to borrow
The trend is propose-then-approve becoming the default for high-risk automation. The entry is payments, shipping, and permission changes, where one tap costs money; make approval a gate you cannot skip, not a log you read later.