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Difficulty: 🔴 Advanced | Prerequisites: Complete Session 4, understand cognitive blueprints and MCP servers
This section is a work in progress, exploring the cutting-edge of AI-powered research. As AI capabilities grow, we’re experimenting with more sophisticated, multi-agent, and autonomous research systems. We’re sharing what we’re learning as we go.

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Topics We’re Exploring:

  • Multi-Agent Collaboration: How specialized AI agents (e.g., a “Literature Scout,” a “Methodology Critic,” a “Synthesis Specialist”) can collaborate on research projects under human orchestration
  • Autonomous Research Assistants: Designing AI agents that carry out multi-step research tasks with greater autonomy, within frameworks of human oversight and validation
  • Advanced Quality Control: Techniques for validating outputs from complex, multi-agent systems while maintaining rigor and reproducibility
  • The Researcher as Architect: Evolving our role as strategic directors who orchestrate teams of AI research assistants
We’re actively experimenting with these approaches and will share findings as they emerge. Your experiences and experiments will differ—we’d love to learn from what you discover.
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