Technology Business Artificial Intelligence

Generative AI in Practice: 100+ Amazing Ways to Use ChatGPT and Other Large Language Models (Summary)

by Bernard Marr

Imagine a marketing team is deadlocked over a new product slogan. Instead of endless, biased meetings, they ask an AI to embody five distinct customer personas: a skeptical Gen-Z student, a busy working mom, a frugal retiree, a tech-savvy early adopter, and a competitor's loyal customer. They then instruct the AI to have these personas debate the proposed slogans. In minutes, the AI generates a transcript revealing deep, unbiased insights into each demographic's perspective—a process that would normally take weeks and thousands of dollars in focus group research.

Your AI Is a Brainstorming Partner, Not a Vending Machine

The true power of generative AI isn't getting instant answers; it's using it as an interactive collaborator. By treating it as a creative partner, you can challenge assumptions, explore novel ideas, and uncover solutions you wouldn't have thought of on your own.

Instead of asking, 'Write an ad for our new coffee,' a more powerful prompt is: 'Act as a world-class advertising creative director. We're launching a new sustainable coffee brand for young professionals. I have a boring draft ad. Critique it mercilessly. Suggest three completely different, bold angles we could take. What are the weaknesses in each?'

Unleash AI's Power with Personas

You can dramatically improve the quality and relevance of AI output by instructing it to adopt a specific persona, role, or expert point of view. This forces the model to generate responses that are consistent, targeted, and far more valuable.

A software company can ask an AI to act as a 'frustrated, non-technical user trying to set up our product for the first time.' The AI's feedback on the instruction manual would be far more insightful for improving user experience than a generic proofreading request.

Prompt Engineering Is the New Critical Skill

Getting valuable results from generative AI is a learned skill. The art of 'prompt engineering'—crafting clear, contextual, and specific instructions—is the key that unlocks the technology’s full potential. The quality of the output is a direct reflection of the quality of the input.

A weak prompt like 'Summarize this report' gives a generic overview. A well-engineered prompt delivers action-ready insight: 'Summarize this 30-page sales report for a CEO who has only 90 seconds. Focus on the top 3 biggest wins, the most significant risk identified, and the number one recommendation. Use bullet points and bold the key metrics.'

Generative AI Is a Business Process Revolution

Beyond simply creating content, generative AI can be used to fundamentally redesign and automate complex business workflows, from analyzing unstructured data to generating strategic plans.

A hotel chain can feed thousands of customer reviews into a large language model and ask it to 'Identify the top 5 recurring complaints across all our properties, categorize them by department (e.g., housekeeping, front desk), and draft a standardized apology and resolution email for each category.' This turns raw feedback into an automated customer service and operations improvement system.

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