Lab

Small interactive experiments from my AI research. The written archive explains what I found. The lab lets you interact with some of the systems, tradeoffs and failure modes behind those findings.

• Context Packing — How much of a codebase does an agent actually need?
• Memory vs History — Is keeping the entire conversation the same thing as remembering?
• Where Should AI Stop? — A model can make the decision. Should it?
• Agent Execution Trace — What makes a coding agent look intelligent?

This archive contains independent research, experiments, architecture studies, and technical observations. Some findings are exploratory and should not be interpreted as peer-reviewed scientific conclusions unless explicitly stated. Architecture studies of third-party products are based on publicly observable behaviour, published technical information, and engineering analysis. They are not claims of access to private source code or infrastructure.