S'inscrire gratuitement

Turn a long document into an actionable summary

Auteur: AILesson6 min de préparationTesté avec:ChatGPTRévisé: 2026-08-28

Réponse rapide

Condense a document around decisions and next steps while preserving evidence and uncertainty. Fournir: Source document, Reader and decision, Length and evidence rules. Résultat attendu: A sourced executive summary, action list, open questions, and verification notes.

1

Ajouter votre contexte

Votre texte reste dans ce navigateur. AILesson Prompts ne l’envoie ni à un modèle ni à un serveur.

2

Votre prompt

Les champs non remplis restent visibles sous forme d’espaces réservés, afin que vous puissiez quand même copier et modifier le prompt.

Turn the source document into an actionable summary for the stated reader and decision.

Source document:
[document]

Reader and decision:
[reader]

Length, citation, deadline, and required-detail constraints:
[constraints]

Use only the source. Separate stated facts, recommendations, and your inferences. Preserve material numbers, dates, scope limits, dependencies, disagreement, and uncertainty. Attach a heading, page, section, or short source phrase to every important claim when the source permits. Return: decision snapshot; key findings; actions with owner and due date exactly as stated or marked Not specified; risks and dependencies; open questions; and details intentionally omitted for brevity. Never invent an owner, deadline, consensus, or level of confidence.
Essayer dans le Playground
Privé par défautL’assemblage du prompt se fait localement dans votre navigateur. Évitez de placer des informations confidentielles dans un service d’IA, sauf si votre organisation l’autorise.

De l'entrée au résultat

Un exemple détaillé

Voyez comment un contexte concret transforme cette recette en résultat utilisable.

Entrée réelle

Source document
[Section 1: Pilot results] The six-week returns pilot reduced average handling time from 18 to 12 minutes across 420 cases. Two of eight agents were not trained. [Section 2: Customer impact] Complaint rate was 3.1%, compared with 2.8% before the pilot; the team cannot determine causality. [Section 3: Recommendation] Operations recommends extending the pilot for four weeks and training the remaining agents. Finance has not approved the £6,000 training cost. A final rollout decision is planned for 30 November.
Reader and decision
The operations director must decide whether to request funding and extend the pilot.
Length and evidence rules
Maximum 220 words. Cite section names. Keep all metrics, limitations, costs, and dates.

Exemple de sortie

Decision snapshot: decide whether to seek approval for £6,000 and extend the returns pilot by four weeks; the document recommends both actions, but funding is not approved [Section 3].

Key findings: average handling time fell from 18 to 12 minutes across 420 cases during the six-week pilot [Section 1]. Two of eight agents remain untrained, limiting comparison [Section 1]. Complaints were 3.1% versus 2.8% before the pilot, and the team cannot attribute the change to the pilot [Section 2].

Actions: request training-cost approval—owner and due date not specified; train two remaining agents—owner and due date not specified; extend the pilot four weeks—owner and start date not specified; make the final rollout decision by 30 November [Section 3].

Risks and open questions: funding may delay training; the complaint-rate movement needs investigation; success criteria for the extension are not stated. No material metrics or limitations were omitted.

Pourquoi cela fonctionne

  1. 1

    A decision-first structure makes the summary useful without hiding the document's limits.

  2. 2

    Source locators and explicit missing fields make important claims easier to verify.

Vérifier le résultat

  • Can every material claim be traced to the document?

  • Are missing owners and deadlines labeled instead of guessed?

  • Does the summary retain conflicting views and uncertainty?

Utilisez-la en toute confiance

Questions fréquentes

Des réponses pratiques sur le bon moment pour utiliser cette recette, ce qu’il faut fournir et les cas où une vérification humaine reste nécessaire.

What should I prepare before using “Turn a long document into an actionable summary”?

For “Turn a long document into an actionable summary,” prepare Source document, Reader and decision, and Length and evidence 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 “Turn a long document into an actionable summary” result not ready to use?

The result is not ready if it does not yet deliver the stated outcome—A sourced executive summary, action list, open questions, and verification 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 “Turn a long document into an actionable summary”?

The published test record for “Turn a long document into an actionable summary” 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.

Plus de façons d'explorer

Où se situe cette recette

Prompts texteLecture de documentsRésumé de documentsPour les managers

Faites avancer votre travail

AILesson · Cours recommandés

Votre prochaine étape : mettez l’IA à contribution

Passez de la compréhension de l'IA à l'action. Entraînez-vous à formuler des requêtes, à évaluer et à améliorer les résultats grâce à des leçons interactives pour le travail et la vie quotidienne.

Découvrir tous les cours
Image de couverture de L’IA pour débutants

15 leçons interactives

L’IA pour débutants

Lancez une conversation utile avec une IA, améliorez sa réponse, vérifiez l’essentiel et sachez quand c’est à vous d’agir.

Découvrir ce cours
Image de couverture de Les bases de ChatGPT

10 leçons interactives

Les bases de ChatGPT

Découvrez ChatGPT à travers trois flux de travail pratiques : mener une première conversation, travailler à partir d’un fichier, puis utiliser Projects pour réutiliser un plan vérifié dans une nouvelle conversation.

Découvrir ce cours
Image de couverture de Comment fonctionne l’IA générative

7 leçons interactives

Comment fonctionne l’IA générative

Comprenez comment les systèmes courants de chat IA apprennent des structures linguistiques, utilisent les messages actuels, construisent leurs réponses et intègrent des sources et des outils.

Découvrir ce cours