A thread you can test
Prompt Engineering
6 notes move from the word to a real choice at work — understand it first, then decide whether to use it.
Each note stands alone, or becomes the next step in this thread.
THE QUESTION THIS PAGE ANSWERS
ANSWER FIRSTWhat is Prompt Engineering, and which AI decisions does it change?
Plain-text model + formatting needs = MD as the best choice; step-by-step reasoning why HTML / Word / LaTeX don't work This page keeps the related concepts, common mistakes, and practical notes in one reading thread.
First decide whether you are blocked by a definition, a choice, or verification; then choose the closest of the 6 notes below.
Start with “Why LLMs Chose Markdown,” then restate the conclusion using your own task.
Do not treat every method in a topic as interchangeable. The answer changes with the input, risk, and acceptance bar.
THIS QUESTION THREAD
Put the word back inside the choice it changes.
Why LLMs Chose Markdown
Plain-text model + formatting needs = MD as the best choice; step-by-step reasoning why HTML / Word / LaTeX don't work
Markdown Syntax & Rendering Pipeline
Common syntax cheat sheet + live editor + marked.js / markdown-it rendering solutions
You Say It, AI Becomes It
Five roles switch in real time; output format control; System Prompt core principles
Advanced Prompt Techniques
Few-Shot / CoT / constraints / task decomposition — good vs bad interactive comparison
Output Format Trade-offs
Plain text / JSON / Markdown / YAML / XML — scenario fit comparison and trade-offs
Streaming Output & Format Pairing
JSON needs full text to parse / MD streams char-by-char / XML renders on tag capture — live demo