## Embracing Augmented Intelligence: AI-First Onboarding & Matching ### 1. AI Guides for Onboarding Onboarding new users—often a major challenge—becomes a conversation with an AI agent. The agent: - Facilitates sign-up, verifying identity and mapping skills via chat or audio - Supports user agency: you can help onboard friends, even in casual settings like a cafe. - Handles “soft skills” and context: coaches users who may be unsure about their abilities, providing encouragement and suggesting possible contributions even from “low-confidence” members. ### 2. Skill Mapping and Skill Matching - Users describe themselves, what skills they can offer, and what they seek (even via a natural, meandering audio message). - AI transcribes and analyses these (using multi-dimensional similarity algorithms, e.g., nearest neighbour search) to map each person’s offering/requests onto the network’s needs. - Matching goes beyond keywords, supporting nuanced requests (e.g., “find me a peer from rural Wales in my early 20s to play casual sport with in London”). - Project needs can be described in freely spoken form, transcribed, and then used to generate a skill map linking candidates to tasks. ### 3. Agentic Workflow for Software Development Not just a user tool, AI guides the ongoing development of the time bank itself: - Conversation logs and user stories are transcribed to spec documents (e.g., plan.md files). - Developers implement, test, and iterate, all within a lightweight, community-driven, open-source project-ecosystem.