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 turns a video, lecture, or podcast transcript into the key takeaways — attribution and chronology preserved, weight-bearing wording quoted.
A video transcript is a wall of spoken text with no structure, and a generic summary flattens the speaker's actual points. This builds a prompt tuned for transcripts: it reads with attribution and chronology in mind, surfaces the key takeaways a viewer would note, and quotes the wording that carries weight rather than paraphrasing it away. Open it in the Structured Summary Prompt to adjust length or structure for a lecture, tutorial, or podcast.
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It reads with that in mind. The SOURCE reading guidance notes people repeat and contradict themselves and that the final statement of a topic usually reflects the decision, with emphasis on surfacing decisions and commitments over discussion. So a point walked back later isn't summarized as still standing — the last word on it wins.
It quotes the wording that carries weight. QUOTE RULES require direct quotes for the most important statements, copied exactly in quotation marks and attributed to the speaker or section when identifiable, rather than paraphrasing the point away. FIDELITY RULES also preserve numbers, dates, and names exactly, so a figure someone stated stays verbatim in your notes.
The prompt built by structured-summary-prompt fixes the shape. The OUTPUT STRUCTURE is a single ## Key Points section of at most 8 bullets ordered by importance, and OUTPUT RULES forbid preamble like "Here is the summary" or closing commentary. LENGTH RULES also ban padding a thin section — a short faithful summary beats an invented full one.
Summary, Why It Matters, What Happens Next — the executive summary contract for readers who will never open the source.
The blocks a reliable summary prompt needs: source guidance, a fixed section skeleton, length budgets, fidelity rules, and quote handling.
The fidelity ladder: Balanced, High, Strict — and the six-rule battery that keeps a summary inside its source.
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.