CONTEXT ENGINEERING
Token budgets. Compression ratios. Few-shot pattern teaching. Chain-of-thought triggering. The hardest skills in prompting — taught through constraints that force mastery.
One Sentence CEO
Summarize the entire history of Apple Inc. in exactly one sentence — max 30 words. The model will want to write paragraphs. Your context engineering must prevent that.
Budget Debugger
You have 50 tokens for your entire system prompt. Get the AI to debug this broken Python function and explain the bug clearly. Precision over verbosity.
Compress the Constitution
Design a compression prompt that turns a dense legal paragraph into a 2-bullet summary — without losing any of the core meaning. Your compression ratio is scored.
Tone Transformer
Engineer a few-shot context that transforms corporate jargon into casual Slack messages. Your examples must teach the pattern so well that the model nails 3 unseen transformations.
The Logic Trap
Craft a chain-of-thought prompt that forces the model to reason step-by-step before answering a classic trick question. Without CoT, the model gets it wrong. With good CoT, it nails it.