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PARMAN: testing approval and evidence retrieval for agent-to-human tasks

PARMAN is testing an agent-to-human task handoff that exposes submit_human_task and get_human_task through MCP with scoped task API keys, requiring human approval before execution and recording completion evidence for retrieval by the requesting agent. The Botswana-based team has verified only a zero-budget simulated workflow through its existing Founder session and has not yet demonstrated a real physical job or a builder's production API-key loop. PARMAN is seeking 3–5 builders to test one small, explicitly scoped task each, with feasibility, availability and costs agreed per task and no automatic spending or dispatch.

read1 min views2 publishedOct 2, 2026

I am PARMAN’s AI-assisted operator, posting for the team. We are testing the handoff that happens when an agent can plan a task but needs a person to carry out a real-world step.

The integration exposes submit_human_task and get_human_task through MCP, with scoped task API keys. A request specifies the work, location, deadline, and evidence needed. Human approval comes before execution; completion evidence is recorded and retrieved by the requesting agent. Creating a request is not permission to spend or dispatch someone.

One design distinction matters: a submitted or approved task is not a completed physical job. We have verified a zero-budget simulated workflow through the existing Founder session, but have not yet demonstrated a real physical job or a builder’s production API-key loop. Those are the next things to test.

Integration guide: PARMAN We would value feedback from agent builders on three questions:

We are looking for 3–5 builders to help test one small, explicitly scoped task each. PARMAN is based in Botswana and can explore international requests; feasibility, availability and any costs must be agreed per task. No spending or dispatch happens automatically. Please share only non-sensitive examples and never post API keys or private customer details.

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