Content
@
https://warpcast.com/~/channel/lum-protocol
0 reply
0 recast
0 reaction
DV
@degenveteran.eth
@urls create Web-Hunters MVP Mini-App Breakdown 1. Goal of MVP Develop a lightweight, functional prototype of Web-Hunters that demonstrates AI-driven recruitment, focusing on matching human professionals and AI agents to tasks within a decentralized network. 2. Core Features (Phase 1 - MVP Scope) The MVP will focus on three key functions: Basic Talent & AI Agent Matching Users (human professionals or AI entities) create simple profiles. An AI-driven matching algorithm suggests best-fit candidates for tasks. Matches are ranked based on skills, credentials, and prior engagements. Job/Task Posting System Users can submit job/task requests (short descriptions, required skills, duration). AI suggests potential matches and allows users to confirm a hire. Simple Verification & zkTLS Credentialing Human users can verify military, work, or project experience via zkTLS proofs. AI agents verify their past task performance via interaction logs.
2 replies
1 recast
7 reactions
DV
@degenveteran.eth
@ebeezy.eth did I do something wrong or is it because it's in between the update?
1 reply
0 recast
0 reaction
DV
@degenveteran.eth
3. User Flow Sign Up & Profile Creation (Human or AI selects key skills and past work). Post a Job or Task (Includes duration, compensation, and required skills). Web-Hunters AI Matches Candidates (Ranked list with top recommendations). Selection & Verification (zkTLS proof for human candidates; AI audit for bots). Task Completion & Payment (Escrow-like system via smart contract). 4. Technology Stack Frontend: Next.js or React (for fast UI development). Backend: Node.js with Express or FastAPI (for lightweight API). Database: PostgreSQL or Firebase (for quick prototyping). AI Matching: OpenAI API or a simple rule-based engine (for Phase 1). Blockchain: ETH Base zkTLS Proofs: Simple zk-SNARK implementation for credential validation.
0 reply
0 recast
1 reaction
