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Level 5 Complete

Level 5 complete! You now master the five core building blocks of context engineering — from reusable templates and few-shot learning to RAG and chain of thought. Your Documentation Assistant from the Boss Fight shows you can combine all techniques in a single system.

  • Templates: Structure system prompts as reusable, testable blueprints with buildSystemPrompt()
  • XML Tags: Structured prompts with clear sections — <task-context>, <rules>, <output-format>, and more
  • Exemplars: Few-shot learning for consistent outputs — show instead of describe
  • RAG: Dynamically load external knowledge into the prompt with <background-data>, prevent hallucinations
  • Chain of Thought: Structured reasoning for complex tasks with <thinking-instructions>
Skill Tree — Level 5 Context Engineering complete, Level 6 Evals is the next level

Level 6: Evals — How do you measure whether your AI system works well? Automated tests for LLM applications. You will learn to systematically evaluate prompts, detect regressions, and make quality measurable.

Part of AI Learning — free courses from prompt to production. Jan on LinkedIn