Developed AI-Human Team Cognition Architecture
- Day: 2025-04-24
- Time: 23:20 to 23:55
- Project: Dev
- Workspace: WP 1: Strategic / Growth & Development
- Status: In Progress
- Priority: MEDIUM
- Assignee: Matías Nehuen Iglesias
- Tags: AI, Cognition, SEO, Traffic Growth, Onboarding
Description
Session Goal
The session aimed to explore and implement strategic frameworks for increasing website traffic and enhancing AI-human team collaboration through structured cognition systems.
Key Activities
- Growth Strategy for Website Traffic: Developed a roadmap to increase website traffic from 0 to 20K visits per month using content creation, SEO, and distribution tactics.
- Understanding Boards in System Intelligence: Discussed the role of boards in facilitating shared context and decision-making among AI agents.
- Architecting Cognition for AI-Human Teams: Implemented a structured board system for task and information management within AI-human teams, including scripts and class modules.
- Critical Questions for Agent System Alignment: Formulated questions to enhance the alignment and understanding of agent systems.
- Onboarding Framework for Agents: Outlined guidelines for onboarding new agents, focusing on statefulness and real-time coordination.
- Building a Self-Aware AI City: Proposed a modular AI city framework with agents as citizens and boards as infrastructure.
Achievements
- Completed a strategic roadmap for traffic growth.
- Developed a structured cognition system for AI-human collaboration.
- Outlined an AI city framework for operational clarity.
Pending Tasks
- Further development of the AI city index board and core utilities.
- Detailed implementation of onboarding templates for agents.
Evidence
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