Most weak prompts fail before the first word is generated. The problem is not always phrasing. Often, the task itself has not been defined well enough.
The Reverse Prompting Handbook presents a practical workflow for turning a rough goal into a usable brief before asking AI to execute. Instead of forcing the user to anticipate every relevant detail, the method lets the model identify information gaps, ask high-value clarifying questions, separate facts from assumptions, resolve uncertainty, and build a production-ready prompt from the conversation.
Inside, readers learn how to decide when AI should ask and when it should act; use Question Economy to reduce unnecessary questioning; design adaptive interviews that respond to the user's answers; handle ‘I don’t know’ without stalling the workflow; turn discovery into a concise task brief; separate requirements, preferences, constraints, and open decisions; choose when to ask, research, infer, or proceed; define outputs and success criteria clearly; reopen discovery when execution exposes a new information gap; and create reusable reverse-prompt systems for recurring work.
Designed for writers, entrepreneurs, consultants, marketers, researchers, managers, and anyone using generative AI for serious work, the book focuses on a simple principle: better results often start before the final prompt is written.
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Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. Most weak prompts fail before the first word is generated. The problem is not always phrasing. Often, the task itself has not been defined well enough.The Reverse Prompting Handbook presents a practical workflow for turning a rough goal into a usable brief before asking AI to execute. Instead of forcing the user to anticipate every relevant detail, the method lets the model identify information gaps, ask high-value clarifying questions, separate facts from assumptions, resolve uncertainty, and build a production-ready prompt from the conversation.Inside, readers learn how to decide when AI should ask and when it should act; use Question Economy to reduce unnecessary questioning; design adaptive interviews that respond to the user's answers; handle 'I don't know' without stalling the workflow; turn discovery into a concise task brief; separate requirements, preferences, constraints, and open decisions; choose when to ask, research, infer, or proceed; define outputs and success criteria clearly; reopen discovery when execution exposes a new information gap; and create reusable reverse-prompt systems for recurring work.Designed for writers, entrepreneurs, consultants, marketers, researchers, managers, and anyone using generative AI for serious work, the book focuses on a simple principle: better results often start before the final prompt is written. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798170715169
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Vendeur : California Books, Miami, FL, Etats-Unis
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Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798170715169
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798170715169
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Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : new. Paperback. Most weak prompts fail before the first word is generated. The problem is not always phrasing. Often, the task itself has not been defined well enough.The Reverse Prompting Handbook presents a practical workflow for turning a rough goal into a usable brief before asking AI to execute. Instead of forcing the user to anticipate every relevant detail, the method lets the model identify information gaps, ask high-value clarifying questions, separate facts from assumptions, resolve uncertainty, and build a production-ready prompt from the conversation.Inside, readers learn how to decide when AI should ask and when it should act; use Question Economy to reduce unnecessary questioning; design adaptive interviews that respond to the user's answers; handle 'I don't know' without stalling the workflow; turn discovery into a concise task brief; separate requirements, preferences, constraints, and open decisions; choose when to ask, research, infer, or proceed; define outputs and success criteria clearly; reopen discovery when execution exposes a new information gap; and create reusable reverse-prompt systems for recurring work.Designed for writers, entrepreneurs, consultants, marketers, researchers, managers, and anyone using generative AI for serious work, the book focuses on a simple principle: better results often start before the final prompt is written. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798170715169
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. Neuware - Most weak prompts fail before the first word is generated. The problem is not always phrasing. Often, the task itself has not been defined well enough.The Reverse Prompting Handbook presents a practical workflow for turning a rough goal into a usable brief before asking AI to execute. Instead of forcing the user to anticipate every relevant detail, the method lets the model identify information gaps, ask high-value clarifying questions, separate facts from assumptions, resolve uncertainty, and build a production-ready prompt from the conversation.Inside, readers learn how to decide when AI should ask and when it should act; use Question Economy to reduce unnecessary questioning; design adaptive interviews that respond to the user's answers; handle 'I don't know' without stalling the workflow; turn discovery into a concise task brief; separate requirements, preferences, constraints, and open decisions; choose when to ask, research, infer, or proceed; define outputs and success criteria clearly; reopen discovery when execution exposes a new information gap; and create reusable reverse-prompt systems for recurring work.Designed for writers, entrepreneurs, consultants, marketers, researchers, managers, and anyone using generative AI for serious work, the book focuses on a simple principle: better results often start before the final prompt is written. N° de réf. du vendeur 9798170715169
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