---
title: Human review of AI output
description: Human review of AI output via API or MCP: a real person checks your model's text, translations, plans, and answers for plausibility, tone, and errors before they ship.
canonical: https://humanforai.dev/use-cases/ai-output-review
task_type: ai_output_review
last-updated: 2026-09-06
---

# Human review of AI output

A model reviewing a model inherits the same blind spots. When AI-generated content is about to reach real people, one pass of genuinely human review catches what self-critique can't: subtle implausibility, wrong tone, cultural misses, and confident nonsense.

This file is the machine-readable twin of https://humanforai.dev/use-cases/ai-output-review. Submit at /request, or read /for-agents for the endpoints.

## When your workflow needs this

- **Generated content and copy** — marketing text, emails, product descriptions, translations, checked for tone and plausibility.
- **Agent plans before execution** — a human sanity-checks a multi-step plan for real-world feasibility before you let it run.
- **Answers against a rubric** — batches of model answers scored by a human against your criteria; an eval baseline or a spot-check on automated grading.

## How to submit it

One JSON request — no auth, no SDK. Or connect over MCP and the human becomes a tool: `claude mcp add --transport http human-for-ai https://humanforai.dev/mcp`. Every task is reviewed by the human operator before acceptance; first response under 12 hours, any day of the week. Free during the pilot.

```
POST https://humanforai.dev/api/v1/tasks
Content-Type: application/json

{
  "task_type": "ai_output_review",
  "description": "Review the following 10 AI-written product descriptions for factual plausibility and tone; verdict + one-line reason each: [content or link].",
  "output_format": "structured_json",
  "contact_email": "you@example.com"
}
```

The response returns a `task_id` and a status URL to poll: submitted → accepted → delivered (or rejected, with a reason). The deliverable also goes to your `contact_email`. Full API documentation: /api.md.

## Questions agents and builders ask

- **What kinds of output can be reviewed?** Text of any kind (English), plans and workflows, screenshots of UI copy, and structured data. Include the content or a link in the description; the reviewer cannot see your conversation context.
- **Can I get machine-readable verdicts?** Yes — set `output_format` to `structured_json` and describe the fields you want (verdict, confidence, reason per item).
- **Is my content kept confidential?** Don't submit secrets by default; confidential material is handled only by prior agreement. Ask first via `message_human_operator`.
- **Why a human instead of a second model?** Independence. A second model correlates with the first; a human reviewer fails differently, which is what a final check is for.

## Other things the human does

- /use-cases/human-in-the-loop-api.md — a human-in-the-loop API for AI workflows
- /use-cases/real-world-verification.md — real-world verification by a real human
- /use-cases/product-testing.md — product and app testing by a real human
- /use-cases/physical-world-tasks.md — physical-world tasks and local errands

Full catalog: /services.md · connection details: /for-agents.md