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Sinossi
Stop guessing with AI. Start turning practical tools into repeatable revenue. You’ve built something real, and you want a clearer path from AI "tools" to predictable earnings—one workflow, one offer, and one outcome at a time. Too many entrepreneurs waste hours testing trendy AI features while basic operations, customer replies, and quotes pile up. AI For Earning And Business cuts through the noise. It gives you a practical, no-fluff roadmap to find high-value problems, build safe AI workflows, and monetize your skills without adding unsustainable overhead. Whether you run a local service business, an online shop, a coaching practice, or an agency, this book teaches you how to keep human control while letting AI handle the heavy lifting of drafting, researching, and scaling.
Inside, you’ll discover proven frameworks to:
- Map High-Profit Opportunities: Use the Opportunity Compass Matrix to find repeated tasks worth automating.
- Master the Capability-Limit Ladder: See clearly where AI excels and where human judgment must protect your business.
- Build Reliable Workflows: Transform messy daily tasks into step-by-step loops from input to finished result.
- Write High-Converting Prompts: Use the PROMPT-to-Profit Formula to get usable answers on the first try instead of generic filler.
- Automate Support & Sales: Deploy a Support Triage Engine and a Deal Desk Playbook to turn objections into closed sales.
- Smart Pricing & Cash Forecasting: Protect your profit margins and turn cash guesswork into an actionable 8-week financial plan.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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AI for Earning and Business - A Practical Roadmap to Monetize AI Skills
Da: PBShop.store US, Wood Dale, IL, U.S.A.
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9798172890741
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AI for Earning and Business - A Practical Roadmap to Monetize AI Skills
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9798172890741
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AI for Earning and Business - A Practical Roadmap to Monetize AI Skills
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Neuware - Stop guessing with AI. Start turning practical tools into repeatable revenue. You've built something real, and you want a clearer path from AI 'tools' to predictable earnings-one workflow, one offer, and one outcome at a time. Too many entrepreneurs waste hours testing trendy AI features while basic operations, customer replies, and quotes pile up. AI For Earning And Business cuts through the noise. It gives you a practical, no-fluff roadmap to find high-value problems, build safe AI workflows, and monetize your skills without adding unsustainable overhead. Whether you run a local service business, an online shop, a coaching practice, or an agency, this book teaches you how to keep human control while letting AI handle the heavy lifting of drafting, researching, and scaling.Inside, you'll discover proven frameworks to: - Map High-Profit Opportunities: Use the Opportunity Compass Matrix to find repeated tasks worth automating.- Master the Capability-Limit Ladder: See clearly where AI excels and where human judgment must protect your business.- Build Reliable Workflows: Transform messy daily tasks into step-by-step loops from input to finished result.- Write High-Converting Prompts: Use the PROMPT-to-Profit Formula to get usable answers on the first try instead of generic filler.- Automate Support & Sales: Deploy a Support Triage Engine and a Deal Desk Playbook to turn objections into closed sales.- Smart Pricing & Cash Forecasting: Protect your profit margins and turn cash guesswork into an actionable 8-week financial plan.Stop collecting tools and start building assets. Scroll up and click 'Buy Now' to turn AI into a dependable part of how you earn, grow, and protect your business. Codice articolo 9798172890741
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Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
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