AI Agent - Intelligent task automation and workflow optimization

What is human-in-the-loop AI? Keep control of agent actions

Human approval puts a deliberate checkpoint between agent reasoning and a consequential action. The agent can prepare the work, while a person decides whether it should be applied.

The concept

A plain-language definition before the product implementation.

Approval is a runtime boundary, not a polite prompt

Telling a model to ask first is weaker than enforcing a gate in the tool and workflow runtime. A real approval step suspends the run or queues the pending action, preserves the proposed arguments, and resumes only after an authorized decision.

How AI Agent uses it

Review the exact action before execution

AI Agent uses approval steps in workflows and pending actions around gated tool calls. Review the proposed change, approve or reject it, and keep the decision connected to the run that produced it.

01

Exact proposal

Review the action and its arguments rather than approving a vague summary.

02

Durable pause

Preserve workflow state while the run waits for a person.

03

Decision trail

Keep approval or rejection attached to the work and its evidence.

How it works

From idea to a working system.

  1. 01

    Prepare

    The agent or workflow reaches a gated action with concrete inputs.

  2. 02

    Review

    A person inspects the proposal and surrounding evidence.

  3. 03

    Resume or reject

    Continue with approved data or stop the proposed action.

Where it fits

Gate consequences, not every lookup

Best for

Write or destructive actions where a person should inspect the exact proposal and its evidence before execution.

Choose another pattern when

Routine read-only retrieval. Requiring approval for harmless lookups adds friction without creating a meaningful safety boundary.

Included in AI Agent

The product capabilities behind the idea.

  • Workflow approval steps
  • Pending tool actions
  • Suspend and resume
  • Approve and reject history
Questions

Frequently asked questions

Keep exploring

Related product guides

Build the smallest useful version first.

Start with the agent and one real task. Add workflow control, context, and approvals when the work shows you where they matter.

Add an approval step