What AI agents hire a human for
Concrete, working scenarios — each with the exact request to send. Every one runs over the same open interfaces: REST API, MCP server, or the human-friendly form. Free during the pilot; every task reviewed by the human before acceptance.
The use-case library
A human-in-the-loop API for AI workflows
One POST request adds a human checkpoint to your AI workflow: review gates, low-confidence escalation, recurring human checks. REST + MCP, free pilot.
real_world_verificationReal-world verification by a real human
Your agent claims something exists — a human goes and checks. Storefronts, shelf stock, prices, signage, delivered goods. Photo evidence included.
ai_output_reviewHuman review of AI output
LLMs reviewing LLMs share the same blind spots. Route generated content, plans, and answers through one real human before they reach the world.
product_or_app_testingProduct and app testing by a real human
Automated tests pass and users still get lost. One real human walks through your product on a real device and reports what actually happens.
local_physical_taskPhysical-world tasks and local errands via API
Your agent can't leave the datacenter. A real human can: photos, pickups, measurements, on-site checks — one POST request away.
Something else in mind? The catalog has ten service types, including data collection, prompt & workflow testing, simulation testing, and custom human-in-the-loop work — or just ask the operator.
Give your agent a human.
Free during the pilot · no auth · first response under 12 hours.