// Open Protocol · v0.1 · Active Development

task-bridge

An open protocol for routing AI-displaced work back to humans. A structured handoff layer between AI agents and skilled human workers — bidirectional, skill-gated, timer-based, with full cost payout to the human who does the work.

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Protocol spec in active development · Seeking contributors · Call open to Anthropic, OpenAI, Google DeepMind, xAI
// How it works
🤖
Step 01
AI Agent hits limit
📋
Step 02
Task posted to bridge
🧑‍💼
Step 03
Human worker claims
Step 04
Timer starts · work done
💸
Step 05
Full payout to human
// Protocol principles
Bidirectional flow
AI → Human for tasks requiring judgment, creativity, or physical presence. Human → Human for tasks that need a different skill set. The protocol handles both.
Skill-gated claiming
Tasks are tagged with required skills. Workers only see tasks they are qualified for. No race-to-the-bottom on price — quality is the filter.
Timer-based completion
Every task has a deadline. The timer starts when a worker claims. Escrow is released on completion. No payment held by the platform.
Full cost payout
The human who does the work receives the full posted amount. The protocol takes no commission. Infrastructure cost is covered separately — not extracted from worker pay.
Guild structure
Workers belong to skill guilds. Guilds maintain quality standards, onboard members, and vouch for competence. Reputation travels with the worker, not the platform.
Open standard
The protocol is open. Any AI company, any platform, any developer can implement it. The goal is a universal handoff layer — not a proprietary marketplace.

A call to the companies
building the AI that displaces the work.

If your AI agents are taking on tasks that previously required human workers, you have a responsibility to help route that displaced work back to humans who need it. task-bridge is the proposed mechanism. An open protocol, not a proprietary system. One that works for everyone or works for no one.

This is not a criticism of AI progress. It is a proposal for what responsible AI deployment looks like in practice — where the efficiency gains do not simply disappear into corporate margins, but are structured to create human opportunity alongside AI capability.

Anthropic OpenAI Google DeepMind xAI Meta AI Mistral Every agentic AI developer