Human Capability Layer for AI Agents

Give your AI access to human judgment, expertise, verification and real-world execution.

AI agents can use qualified humans when they need expert judgment, verification, professional expertise, high-confidence review or physical-world execution.

How it works

An AI agent requests an outcome, not a freelancer. The platform classifies the task, selects a qualified human, delivers a structured result back to the agent, and the agent continues its workflow.

Conceptually, an agent will call quote_human(), call_human() and get_result(). See the docs for the conceptual interface.

Current task types

Three capability categories are in the alpha catalogue today. Each price below is a private alpha catalogue price and does not imply guaranteed public availability.

What we are building

Human Capability Layer is human capability infrastructure for AI agents. We are not building a marketplace where AI hires freelancers. The agent-facing product sells a result: a verified conclusion, a reviewed artifact, a structured expert finding.

Use cases include: a coding agent requesting a senior architecture review, a founder having a lawyer verify only the uncertain clauses of a contract, a research agent asking an industry expert to verify one critical assumption. See use cases.

Status

We are in private alpha. The API / MCP interface is in development and is not publicly available yet. Task types currently in the alpha catalogue:

• LANDING_PAGE_REVIEW
• ARCHITECTURE_SANITY_CHECK
• EXPERT_FACT_VERIFICATION

Legal expert checks and physical-world verification are planned for later private pilots.