Deploying AI Agents in Production With Human Approval: HITL Patterns That Survive
A guide to deploying AI agents in production with human approval: five insertion points, an autonomy ladder, trust thresholds, and a REST review queue.
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A guide to deploying AI agents in production with human approval: five insertion points, an autonomy ladder, trust thresholds, and a REST review queue.
A build guide with the artifacts: the agent file, the team file, the mission, the workflow with a human gate, and the version row the apply writes.
Autonomy levels are usually an analogy. Here are three real missions at levels 1, 2, and 3, the code that enforces the gate, and what the levels do not do.
Agents are who. Missions are goals. Workflows are procedures. Automations — new and first-class — are when. Plus: watch your agents actually think, with streamed chain-of-thought.
Mission checks now remember what they flagged (threads age across checks), high-confidence proposals can execute on enabled trust rules, workflows can ask a human for input mid-run, and briefings publish to their own page.
Missions are now charters a team owns continuously — checked on a schedule, discharged with only the work that's needed. Plus schedule triggers for workflows, agent steps, and an Automation page for every clock in your deployment.
vocion-v1.25.0 adds Missions: hand your AI team a goal in plain language and watch them plan it, split the work, produce artifacts, and pause for your approval. One Agent framework, three work modes. What works gets promoted into a Workflow.