XML Tag Structuring: 28% Fewer Parsing Errors Than Markdown
Wraps instructions, data, rules, and schemas in XML tags when feeding them to an AI — tested to produce roughly 28% fewer errors on structured-extraction tasks than using Markdown headers.
<task>{{task}}</task> <input>{{data}}</input> <rules>{{rules}}</rules> <schema>{{schema}}</schema>
[ Log in to see the full prompt ]Sign up free to see the full prompt, copy it, save it, and join the discussion. Free content unlocks on login; Pro content is a separate subscription.
When you need an AI to extract structured data from a block of text, sectioning it with XML tags is much more reliable than Markdown headers (Claude especially responds well to this). Good for extracting tables, JSON, or specific fields.
一段嚴格符合你給的 schema 的 JSON、不夾雜任何多餘文字。
Suno Engineer's Mindset: 4 Steps to a Song That Doesn't Sound Like AI
A studio engineer's breakdown of Suno's fatal weaknesses (fried vocals, high-frequency artifacts), plus a 4-step DAW workflow and a Suno Studio cleanup prompt.
5 Claude Weekly Workflows That Stuck After 6 Months
Proposal generator / meeting processor / content repurposer / Friday review / shutdown reset — out of 40 I tried, only these 5 survived, each saving 30+ minutes per run.