Executive Summary Prompt
Summary, Why It Matters, What Happens Next — the executive summary contract for readers who will never open the source.
Build a prompt that produces a true tl;dr — the gist of a long piece in a few scannable points, brevity enforced, nothing invented.
A tl;dr is not a short summary — it is the irreducible gist, and most AI "tl;dr" attempts are still three paragraphs. This builds a prompt that forces brevity: at most a handful of standalone, specific points, with a "when in doubt, cut" rule and fidelity guardrails so it compresses the source instead of paraphrasing loosely. Open it in the Structured Summary Prompt to dial the length or switch the source type.
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A tl;dr is the irreducible gist, not a shorter paraphrase. The output is a single ## Key Points section capped at 5 bullets, each standalone and specific, governed by a "when in doubt, cut" rule where every sentence must earn its place. For a thorough sectioned summary the resource says to switch to a longer length instead.
The fidelity rules require preserving numbers, dates, and names exactly as written, and summarizing only what's in the source with no outside knowledge added. The quote rules also force paraphrasing throughout — no direct quotes. Brevity is enforced without loosening accuracy, though you still run the generated prompt in your own assistant and own the final read.
Summary, Why It Matters, What Happens Next — the executive summary contract for readers who will never open the source.
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The contract that stops AI documents from restructuring themselves: a pinned section skeleton, forced tables, and strict consistency rules.
Free text in, named fields out. The extraction prompt pattern that turns any unstructured text into consistent, parseable records.
'Make it good', 'be detailed', 'keep it interesting' — vague prompts get vague output. The fix is mechanical: replace every fuzzy word with a checkable instruction.
Build summary prompts with fixed sections, length caps, and no-invention fidelity rules.