Автор: AILesson8 мин на настройкуПроверено на:ChatGPTПроверено: 2026-08-28
Быстрый ответ
Extract independent ideas from a source article and adapt them to different short-form contexts. Укажите: Source article, Target outputs, Adaptation rules. Ожидаемый результат: A set of distinct short drafts with source mapping, platform adaptations, and omission notes.
1
Добавьте контекст
ваш текст остаётся в этом браузере. AILesson Prompts не отправляет его ни в модель, ни на сервер.
2
Ваш промпт
Незаполненные поля остаются видимыми как заполнители, поэтому вы всё равно можете скопировать и отредактировать промпт
Repurpose the supplied article into genuinely distinct short-form pieces.
Complete article, headings, links, claims, examples, and rights:
[article]
Platforms, count, format, length, audience, objective, CTA, and schedule:
[outputs]
Voice, invariant facts, quotation, links, disclosure, exclusions, and review:
[rules]
Create a source map of claims, examples, caveats, and section locators. Select ideas that can stand alone without losing essential context. Give each piece one primary audience question and a different angle; do not merely shorten the introduction repeatedly. Adapt structure, pacing, opening, terminology, CTA, and accessibility to its platform while preserving meaning, uncertainty, attribution, and causal boundaries. Do not invent transitions that imply new facts, personal experience, quotes, outcomes, or consensus. When compression would make a claim misleading, omit it or retain the necessary qualifier. For every draft provide source mapping, what was intentionally omitted, and any required link or disclosure. Audit duplication across drafts, factual fidelity, character limits, CTA fit, and whether each piece remains understandable without the article.
Конфиденциально по умолчаниюПромпт собирается локально в вашем браузере. Не вводите конфиденциальную информацию в сервисы ИИ, если ваша организация этого не разрешает.
От исходных данных к результату
Разобранный пример
Посмотрите, как конкретный контекст превращает этот рецепт в полезный результат
Реальный ввод
Source article
Title: Why status visibility does not equal ownership. Section 1 defines visibility as seeing state and ownership as authority to decide and accept. Section 2 gives a fictional handoff example labeled fictional. Section 3 reports 7 of 10 anonymized interviewees mentioned unclear ownership; convenience sample, not prevalence. Section 4 offers a four-question audit. Conclusion: tools can support but not assign accountability. We own republishing rights.
Target outputs
Three pieces: LinkedIn post under 1,000 characters for operations leads, email tip under 180 words for existing subscribers, and 6-frame carousel outline for team leads. Each should lead to the full article, published across one week.
Adaptation rules
Direct, calm voice. Keep fictional label and 7-of-10 sample caveat. No direct quotations. Use placeholder <article link>. No claim that tools cause failure or that the issue is universal.
Пример вывода
LinkedIn — distinction angle
A green status can tell you where work is. It cannot tell you who has authority to accept it. Visibility and ownership solve different questions: “What state is this in?” versus “Who decides it can move?” In a convenience sample of 10 interviewees, 7 mentioned unclear ownership; that small sample is a signal to investigate, not a prevalence estimate. Try the article's four-question handoff audit: <article link>
Source: sections 1, 3, and 4. Omitted the fictional example to keep one idea.
Email tip — practical audit angle
Before adding another status field, inspect one recurring handoff. Ask who declares work ready, who accepts it, what evidence counts as accepted, and who resolves disagreement. A tool may display these decisions, but it cannot responsibly make them for the team. Read the full explanation and audit: <article link>
Source: section 4 and conclusion. Omitted the interview number because it is not needed for the action.
Carousel — scenario angle
1 Visibility is not ownership. 2 You can see “ready” and still lack an accepter. 3 Fictional example: a report waits because sender and reviewer use different completion rules. 4 Name the deciding role. 5 Define acceptance evidence and escalation. 6 Audit one handoff, then choose tool support: <article link>.
Source: sections 1, 2, 4, conclusion. Frame 3 retains the fictional label. No draft claims universality or that tools cause failure.
Почему это работает
1
Standalone idea selection prevents context-dependent claims from becoming misleading snippets.
2
Cross-draft duplication checks create a portfolio rather than repeated summaries.
Проверьте результат
Can each draft stand alone with essential context and qualifiers?
Does every claim map to a source section without changed meaning?
Are angle, structure, and CTA genuinely adapted by platform?
Используйте уверенно
Часто задаваемые вопросы
Практические ответы о том, когда использовать этот рецепт, что нужно предоставить и где по-прежнему важна проверка человеком
What should I prepare before using “Repurpose a long article into short-form content”?
For “Repurpose a long article into short-form content,” prepare Source article, Target outputs, and Adaptation rules. Replace placeholders only with information you can verify. If a detail is unknown, preserve that uncertainty explicitly instead of asking the model to infer it.
When is the “Repurpose a long article into short-form content” result not ready to use?
The result is not ready if it does not yet deliver the stated outcome—A set of distinct short drafts with source mapping, platform adaptations, and omission notes—from the supplied evidence, or if it relies on unresolved assumptions, missing approvals, or invented details. Use the checks as release gates: revise the source inputs or assign a named, authorized reviewer instead of polishing an unsupported output.
Which AI tools have recorded tests for “Repurpose a long article into short-form content”?
The published test record for “Repurpose a long article into short-form content” lists ChatGPT as of 2026-08-28. This confirms recorded runs, not guaranteed compatibility or identical results in later product versions. For another tool or version, keep every constraint visible and repeat the result checks before use.
Перейдите от понимания ИИ к выполнению задач. Практикуйтесь в составлении запросов, проверке и улучшении результатов с помощью интерактивных уроков для работы и повседневной жизни.