I'm rebuilding how I work, from personal workflows to professional systems, into an Agentic Ecosystem.
Jane is an AI Agent persona that helps manage a team of specialized agents. I'm applying the same techniques we use for non-deterministic humans to non-deterministic AI: feedback, coaching, delegation, quality controls.
The goal is practical: AI that understands the context of your work, not just the content. Jane is where I'm testing whether context engineering matters more than prompt engineering.
Built with: Claude Code, TypeScript, custom context architecture, session persistence, multi-agent coordination.
The operating system layer for managing AI agent teams. How do you coordinate multiple agents across different domains? This is my answer.
How do you give AI systems the information they need to be genuinely helpful? Context Maps are my structured approach to solving this problem.
I share the journey as I go: what's working, what's broken, what I'm learning. The best insights come from building real things, mistakes included.