Organize collected inspiration into project candidates

Автор: AILesson8 мин на настройкуПроверено на:ChatGPTПроверено: 2026-08-28

Быстрый ответ

Turn mixed references, notes, fragments, and attractions into original, feasible directions with provenance and rights checks. Укажите: Collected material, Your interests and possible media, Resources and selection rules. Ожидаемый результат: A provenance-aware inspiration map, distinct project candidates, and next experiments.

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

Organize the inspiration collection into original project candidates without copying source expression or treating unattributed material as free to use.

Notes, sources, creators, links or locations, dates, quotation status, licenses, and attractions:
[inspiration]

Recurring questions, skills, values, audience, media, and exclusions:
[direction]

Time, budget, access, rights, privacy, originality, safety, feasibility criteria, and desired candidate count:
[limits]

Normalize each item into source/provenance, observable attributes, underlying attraction, possible question, and rights/verification status. Keep unknown creators and licenses visible; short factual description is not permission to reproduce. Cluster by mechanisms, tensions, materials, moods, or questions—not only subject words—and identify contradictions and outliers. Abstract influence into attributes such as pacing, participation, scale, contrast, or constraint; do not imitate a living creator's style or reproduce distinctive expression. Combine distant clusters to form project candidates. For each give premise, medium, personal contribution, transformed influences, audience experience, required resources, rights/privacy questions, feasibility, originality risk, and smallest artifact. Trace each candidate back to inspiration IDs while stating what is newly contributed. Compare, shortlist diverse candidates, and define a rights-safe next experiment and what to verify before public use.
Попробовать в Playground
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

Collected material
I01 my photo of repaired ceramic bowl, 2025, mine: visible gold-colored seam. I02 museum label notes reused cloth carried family repairs; photo prohibited, creator/date recorded in private note, no reproduction license. I03 quote copied years ago about maps and memory; author/source unknown. I04 public-domain 1890 city map from municipal archive, link and rights statement saved. I05 short video by living artist using slow overhead sorting; link saved, license unknown. I06 my grandmother's sewing-box inventory with her permission for private study, not public names. I07 note: I enjoy objects that show maintenance rather than perfection.
Your interests and possible media
Interested in care, repair, and changing neighborhoods. Skills: photography, short essays, simple web pages. Possible small web essay or physical zine for local adults. Do not make a tutorial, imitate the video artist, or expose family details.
Resources and selection rules
Four weekends, CNY 400, only my objects and public streets photographed lawfully. Need three candidates and one weekend prototype. Public release only after rights/privacy review. Prefer a contribution beyond arranging other people's images.

Пример вывода

Provenance map: I01 is creator-owned; I04 has a saved public-domain statement that still needs scope verification; I02 may inform a general question but its image/text must not be reproduced; I03 is quarantined from quotation until identified; I05 contributes only abstract attributes—slow pace, overhead ordering—not style or footage; I06 is private-study material and cannot expose names or contents beyond consent; I07 is the creator's own theme.

Clusters are visible repair (I01/I07), place and accumulated change (I04), and sorting/care practices (I02/I05/I06). Candidate A, “Maintenance Atlas,” pairs new street photographs with small public-domain map crops to ask what visible upkeep changes and what persists; personal contribution is field observation and essay. Candidate B, “Twelve Repairs,” is a zine of newly photographed owned objects and first-person maintenance notes; strongest rights position, narrower place theme. Candidate C, “Ways of Keeping,” is a private prototype that sorts anonymized personal object notes by kinds of care; public form remains blocked by I06 consent scope and resemblance risk if overhead-video presentation is retained.

Prototype A and B as two-page paper spreads using only I01, new photographs, original text, and a clearly marked placeholder instead of I04 until archive rights are rechecked. Shortlist B for feasibility and A for thematic range. Remove I03 entirely for now. Before publication verify archive download terms, location photography rules, every depicted person's identifiability, family consent scope, captions, and whether any composition remains too dependent on I05.

Почему это работает

  1. 1

    Provenance and attribute abstraction preserve useful influence while reducing accidental copying.

  2. 2

    Combining distant clusters produces stronger project questions than sorting only by topic labels.

Проверьте результат

  • Does every source retain provenance, quotation, license, and verification status?

  • Are influences transformed into general attributes rather than copied expression or named style imitation?

  • Does each candidate show personal contribution, feasibility, rights risks, and a small next artifact?

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 “Organize collected inspiration into project candidates”?

For “Organize collected inspiration into project candidates,” prepare Collected material, Your interests and possible media, and Resources and selection 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 “Organize collected inspiration into project candidates” result not ready to use?

The result is not ready if it does not yet deliver the stated outcome—A provenance-aware inspiration map, distinct project candidates, and next experiments—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 “Organize collected inspiration into project candidates”?

The published test record for “Organize collected inspiration into project candidates” 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.

Продолжайте работу

AILesson · Рекомендуемые курсы

ваш следующий шаг: примените ИИ на практике

Перейдите от понимания ИИ к выполнению задач. Практикуйтесь в составлении запросов, проверке и улучшении результатов с помощью интерактивных уроков для работы и повседневной жизни.

Просмотреть все курсы