Question 1

What is Auto Mode?

Accepted Answer

Auto Mode is CloudThinker's approval-gate layer for autonomous AI agents. Each Skill runs at one of three configured levels: Notify (post the recommendation, wait), Act-with-Approval (open a Merge Request with a scoped diff and rationale), or Autonomous (ship under defined guardrails). The level is set per environment and per service, encoded as policy rather than ceremony.

Question 2

How is Auto Mode different from approving every action manually?

Accepted Answer

Manual approval keeps the human in the loop for every action — safe but slow, and the bottleneck on MTTR. Auto Mode preserves manual approval where it matters (production, the auth service, novel Skills) while letting well-trodden paths — cost right-sizing, dependency upgrades, known-good runbooks — ship under guardrails. Teams typically start at Notify, promote per Skill to Act-with-Approval, then graduate to Autonomous on a Skill-by-Skill basis.

Question 3

Can a misbehaving agent escalate itself past Auto Mode?

Accepted Answer

No. The policy is encoded outside the agent, the credential is brokered at task time at a scope the policy authorises, and execution runs inside an isolated sandbox. A compromised agent still cannot reach a production system without the team's policy saying yes to the specific action.

Question 4

What does the Auto Mode audit trail look like?

Accepted Answer

Every action carries the request, inputs, tool calls, outputs, operator (human or agent), and the policy gate it cleared into a tamper-evident log. Post-incident reconstruction is one query, not Slack archaeology. The same audit substrate feeds long-term memory for the Deep Response Engine.

Safe autonomy for cloud operations. On your terms.