The Context Engine
Three kinds of context, three write rules, and a project that outlives the session, the harness, the model and the machine
Everything I have published: essays and manuals from From Lab to Life, research papers, and the archive. Each work tells you where you can read it.

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Three kinds of context, three write rules, and a project that outlives the session, the harness, the model and the machine
The confession piece about two years of hand-written handoff files. The flaw: the most degraded model writes the most important document.
A follow-up seven weeks after the Shared Brain launch. The author's own wiki has 3,305 nodes and 15,095 edges at v3.0.6.
How Claude Code plus Playwright via MCP became an autonomous testing loop in early 2025, before "loop engineering" had a name.
How My Curator MCP Turns Your Second Brain into a Frontier AI Research Partner
The foundational definitions essay. Sets out the taxonomy of chatbots, assistants, agents and autonomous workers, with a four-tier autonomy hierarchy and a five-level maturity model for agentic AI.
New essays from From Lab to Life arrive on Substack before they reach this library.
The MountVacation MCP server build story, and one of the first open-source MCP servers for tourism.
What happens when you give an entry-level AI model the right tools and see if it can build complex software? That’s exactly what I tested in my latest research, and the results reveal something fascinating about the path toward Artificial General Intelligence (AGI).
This study, conducted under the COTRUGLI Business School 2 Co-lab initiative in Q1 and Q2 2025, investigates whether Model Context Protocols (MCPs) can enhance large language models (LLMs) to exhibit early indicators of Artificial General Intelligence (AGI) in coding agents.