Levels of AI Mastery
- Level 1: Foundation concepts
- MCP
- reaches into software ecosystems outside of AI agent’s knowledge via helper processes
- skills
- context efficiency
- composeability
- encapsulation of reuseable unit of work
- supported by multiple vendor products: Claude Code, Codex, Github Copilot and more
- opens Pandora box of governance challenges more so than MCP, unless if there are guardrails such as entitlement, sandbox or server-side protections
- Claude hooks
- Claude subagent
- Claude commands
- Level 2: Better harness
- orchestrate AI Agents continuously with limit awareness
- structured storage of conversation history with AI capabilities
- control over distribution channels: internet-facing web, mobile, local CLI agnostic of vendor-specific solutions
- Level 3: Autonomous
- automated introspection of execution log to improve token efficiency and reliability
- automated discovery and organization of knowledge
- rapid mobilization of information advantage
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