Level Up

Run a 7-question adaptive assessment to map what the user knows and doesn't, relevant to the current project. The output is two files future agents rely on.

Files (repo-relative)

• notes/learning/david-knowledge.md — verbatim Q&A pairs + ratings, one section per question, rounds appended.
• notes/learning/LEARNING-PLAN.md — one concise bullet per genuine gap found.

State-check first: read both files in full if they exist. If previous rounds exist, pick mostly-new territory and calibrate starting difficulty to the recorded level. If missing, create the folder and both files (plan starts as just a header).

Question rules

• 7 questions, strictly one at a time, plain text — never the questions UI.
• Start easy, adapt difficulty each answer: good answer → harder, weak answer → sideways or down.
• Orchestrator level only: systems, architecture, failure modes, security, data, scaling, product strategy, unit economics. NEVER syntax or code trivia — the user architects via AI agents, they don't write code.
• Anchor questions in the current project's real stack and features. When a question touches real code, read it and show the actual snippet when teaching.
• Cover different territory across rounds (e.g. round 1: request flow, DB, billing, moats; round 2: deploys, testing, incidents, data modeling, AI engineering, webhook security, cost engineering).