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DV
@degenveteran.eth
Ok @janicka told me to do this so I have an idea... Web-Hunters: AI-Powered Recruitment Agents for the Digital Age Concept Overview Web-Hunters are intelligent AI recruitment agents designed to connect human talent and AI-driven automation. Operating within the Luminous Protocol, these agents specialize in sourcing, vetting, and matching individuals and AI systems with roles that fit their skills and capabilities. Key Features Dual-Spectrum Recruitment – Web-Hunters can recruit both AI agents and human professionals for various tasks. Skill-Based AI Matching – Uses machine learning to pair AI bots with specific digital roles and human teams. Decentralized Talent Pool – Functions within a blockchain-based hiring network, ensuring transparency and fairness. Tokenized Incentives – Utilizes $LUM tokens for recruitment bounties, job placements, and skill verification. Use Cases in the Luminous Ecosystem
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DV
@degenveteran.eth
Automated AI Deployment – Assigns AI agents to digital tasks, optimizing workforce efficiency. Human Workforce Integration – Recruits skilled professionals to guide and collaborate with AI in decentralized projects. Protocol Optimization – Assists organizations in adopting and integrating the Luminous Protocol by sourcing top talent and AI support. AI-to-AI Collaboration – Enables structured interactions between autonomous agents, streamlining complex workflows. $LUM Token Applications Staking for Premium Recruitment Services – Organizations can stake $LUM for priority talent placements and AI matching. Job Bounties – Web-Hunters enable tokenized job postings, rewarding recruiters for successful placements. Governance & Reputation – Users can earn $LUM-based reputation scores for consistent contributions to the ecosystem.
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@degenveteran.eth
Conclusion Web-Hunters serve as the bridge between AI and human professionals, making recruitment seamless and efficient. By leveraging blockchain, decentralized protocols, and AI-driven matchmaking, they empower both individuals and autonomous agents to thrive in the Luminous digital society.
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naaate
@naaate
What do you think a paired down MVP could look like?
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DV
@degenveteran.eth
Web-Hunters could focus on a simple, verifiable hiring network that connects skilled professionals (starting with veterans) to job opportunities, both IRL and remote, using AI-assisted credential verification. Core Features for MVP Decentralized Talent Verification Users can zkTLS (zero-knowledge proof) verify their skills, credentials, and past experience without exposing sensitive data. Example: A veteran can prove they were a mechanic in the military for X years without sharing personal documents. Basic Job Matching & Listings A simple job board-style interface where employers or individuals can list tasks, remote gigs, or in-person jobs. AI-assisted skill matching to recommend the best candidates. Trust Layer for Hiring Ratings and verified experience badges (e.g., “US Army Mechanic – 8 Years”) provide trust signals for employers. Continued 👇
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@degenveteran.eth
AI ensures scammers/bots are filtered out while improving recommendations over time. Initial Use Cases Hire a Veteran for a Verified Skill: Need a plumber, mechanic, or IT specialist? Web-Hunters can verify their military/industry experience and match them with available jobs. Remote Work & Digital Gigs: Connect verified professionals to contract, consulting, or freelance work based on blockchain-based skill validation. Why This MVP First? It’s simple but impactful—verifiable hiring is a major pain point in both Web3 and traditional workspaces. Builds trust first, which is key before scaling AI integrations. Creates a user base that can later integrate fully autonomous AI recruitment. cc @eulerlagrange.eth just in case I say any zkTLS things that are way off...
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