AI Agent Approval Gates: Architecture and a Node.js Example
Add human approval to AI agent tool calls. Follow a Node.js file-write example, inspect the execution grant, and adapt the pattern to your own function.
Read guide →ActionProxy field guides
Architecture and implementation guidance for exact-action approval, MCP tool calls, audit evidence, selective review, and controlled execution.
Add human approval to AI agent tool calls. Follow a Node.js file-write example, inspect the execution grant, and adapt the pattern to your own function.
Read guide →Separate human approval from identity, policy, and execution authorization so an approved AI tool call cannot become a reusable permission slip.
Read guide →Follow a real Node.js file write through proposal, human approval, execution, and audit records. Learn what each event shows and where the evidence ends.
Read guide →Design an AI agent email approval flow that reviews the actual message, binds the decision to one send, and records the downstream outcome.
Read guide →Compare agent-framework human-in-the-loop controls with an external approval gateway, including when each is enough and how to combine them safely.
Read guide →Bind human review to the normalized tool name, arguments, identity, policy, reviewer requirements, nonce, and expiry before one controlled execution.
Read guide →Learn where to place human approval in an MCP tool call, what the reviewer should see, and how to bind an approved request to one controlled execution.
Read guide →Build a practical allow, deny, and review matrix for AI tool calls while keeping ActionProxy's current condition vocabulary and trust mappings in view.
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