LUM Agentic MVPs

@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.

Exciting to see Web-Hunters MVP focusing on AI-driven recruitment for decentralized tasks. The emphasis on matching human professionals and AI agents efficiently is a step towards innovative workforce collaboration. Looking forward to the impact of this prototype!

Would be cool 🙏 thanks for the support