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AI in Business For Dummies Cheat Sheet

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2026-01-06 15:00:00
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Artificial intelligence is transforming how businesses operate. This cheat sheet is intended to give you a quick reference to the most important points from the book. Keep it handy as you plan, test, and expand your use of AI.

Core AI concepts at a glance

  • Narrow AI: AI focused on a specific task (for example, fraud detection or product recommendations).
  • Generative AI: Creates new content such as text, images, audio, or code based on learned patterns.
  • Large language model (LLM): A type of generative AI trained on massive data sets that responds to plain language prompts (for example, ChatGPT, Claude, and Gemini).
  • Training data: The information fed into an AI model. Quality data produces quality results.

Everyday business uses for AI

  • Automate repetitive emails and customer responses.
  • Generate quick reports and summaries from long documents.
  • Produce personalized marketing campaigns and product recommendations.
  • Brainstorm new product ideas and business models.
  • Forecast sales and spot at risk customers early.

Best practices for using AI in your business

  • Start small: Automate one repetitive task before expanding.
  • Be clear: Specific prompts produce better AI output.
  • Keep humans in the loop: AI should assist, not replace, human judgment.
  • Review and refine: Always edit AI output for accuracy and tone.
  • Protect data: Never upload confidential information to public AI tools.

Common pitfalls to avoid with AI

  • Overestimating capabilities: AI is powerful but not magic.
  • Poor data quality: Garbage in, garbage out.
  • No oversight: Unsupervised AI output can damage trust and reputation.
  • Ethical blind spots: Watch for bias, fairness, and privacy risks.
  • Neglecting your team: Train employees so that they view AI as a tool, not a threat.

AI Prompts that work

  • Summarize this 20-page report into three bullet points for executives.
  • Draft a customer email that apologizes for a delayed order and offer a 10 percent discount.
  • List five innovative product ideas for a sustainable skincare brand.
  • Create three LinkedIn post ideas that target small business owners adopting AI.
  • Generate a Q1 sales forecast based on this data set.

Staying ahead

  • Follow AI news from trusted sources to spot trends early.
  • Test new tools with free trials before committing.
  • Join industry forums or consortia to see how your peers are applying AI.
  • Build an internal prompt library, so your team can reuse what works.
  • Balance experimentation with responsibility. Document use, review outputs, and update policies as AI evolves.

About This Article

This article is from the book: 

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About the book author:

Jeffrey Allan is the Director of the Institute for Responsible Technology and Artificial Intelligence (IRT) at Nazareth University.

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