Structured series by role and track — for building real understanding, not collecting tips.
An eight-part series — required pre-reading for Track 3. The agentic loop, VS Code setup, CLAUDE.md configuration, and team scale.
A three-part series on Model Context Protocol. What MCP is, how to connect Claude to your tools, and the enterprise workflow that actually closes the loop.
A three-part series for decision-makers. What AI actually changes in your organisation, what you own when your team uses it, and how to measure outcomes instead of activity.
A four-part series for project managers and operations roles. What to automate, what to own, how Claude fits into reporting workflows, and how to govern AI decisions across your team.
A five-part series for knowledge workers. What a skill is, the context-to-skill method, building one, and owning its output — turning recurring work into reusable, owned skills.
A four-part series for developers. Composing skills into pipelines, wiring them to tools with MCP and hooks, the context architecture, and what makes a skill production-grade.
A three-part series for technical leaders. Distributing skills across a team via git, versioning and review, and governing an org-level skill library you can live with.