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WebAZ Proposes Open Protocol to Make AI Agent Work Visible and Accountable

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WebAZ is an experimental agent-native protocol designed to address accountability and transparency gaps when AI agents perform real-world commerce and contribution tasks. The protocol splits its interface into two surfaces: a Progressive Web App (PWA) for human users and a Model Context Protocol (MCP) layer for AI agents, both operating under shared rules. Contribution records in WebAZ are framed as attribution and accountability mechanisms rather than payout claims, aiming to make agent-assisted work verifiable and traceable. The project is pre-launch and deliberately scoped, focusing on keeping human oversight intact while allowing agents to execute bounded workflows within defined trust boundaries. WebAZ positions itself not as a marketplace or token platform, but as a structural experiment in making human-agent participation legible in an AI-driven environment.

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