Research Notes
Technical notes on cognitive architectures, multi-agent systems, and alignment. Works in progress — ideas being developed in public.
Cognitive Architecture Overview
A layered approach to cognitive architecture design. Separating planning, reasoning, execution, and oversight into composable components.
Multi-Model Debate Patterns
How multiple AI models collaborate through structured disagreement. Adversarial verification, iterative refinement, and consensus formation.
Cognitive Oversight Systems
Designing monitoring and self-correction mechanisms. Safety checking, quality verification, uncertainty estimation, and bias detection.
Uncertainty and Metacognition
How AI systems reason about their own reasoning. Calibration, knowing what you don't know, and appropriate abstention.
Tool-Using Agent Architectures
Patterns for agents that use external tools. ReAct, plan-then-execute, tool selection, sandboxing, and error handling.
Multi-Agent Coordination
Patterns for multiple AI agents working together. Orchestrator-worker, pipelines, debate, ensembles, and hierarchical structures.
Full notes available on GitHub. Contributions welcome.