Why is every company giving out prompt guides? What's their personal profit from it?

Many companies are sharing prompt guides because these guides help people use AI tools more effectively, which in turn benefits the companies themselves.

Prompt guides are instructions or examples that show users how to give precise and clear commands to AI systems, like ChatGPT or other generative AI models. AI tools rely heavily on the quality of prompts-the inputs they receive from users-to produce useful outputs. If a prompt is vague or unclear, the response might be irrelevant, confusing, or even wrong. But when a prompt is well-crafted, the AI delivers accurate, relevant, and helpful results. Companies provide these guides to help users get the best possible experience from their AI tools.

So, why do companies invest time and effort into giving out prompt guides? Their personal profit comes from several key benefits:

1. Improving User Experience and Satisfaction: When users know how to communicate better with AI, they get more accurate and helpful answers faster. This reduces frustration and builds trust in the AI product. Happy users tend to stay longer, use the product more frequently, and recommend it to others.

2. Reducing Costs by Optimizing AI Usage: Good prompts lead to fewer attempts and corrections. AI systems consume computational resources each time they generate output, so effective prompting reduces the need for repeated queries. This lowers operational costs for companies running expensive AI infrastructure.

3. Enhancing Brand Value and Market Position: By providing prompt guides, companies position themselves as helpful, customer-centric, and experts in AI. This builds a positive brand image and differentiates them from competitors who may not offer such support.

4. Driving Business Growth through Better Product Adoption: Clear prompt guides help new users get started more easily and encourage existing users to explore more features. This drives adoption, leading to more paid subscriptions, upsells, or service usage that translate directly into revenue.

5. Enabling Customization for Specific Business Needs: Companies often include tailored prompt templates for different industries, tasks, or user roles. This customization makes the AI more valuable for particular customer segments, increasing the likelihood of business contracts and partnerships.

6. Extracting Valuable Insights and Data: By understanding the kinds of prompts users deploy, companies can learn what customers want and how they think. This insight can improve AI models, inform marketing strategies, and help design better products.

7. Reducing Errors and Bias in Outputs: Carefully designed prompts can reduce incorrect or biased AI responses. This is crucial for maintaining trust, especially in sensitive areas like finance, healthcare, or legal services. Fewer errors also mean less time spent on support and fixes.

To sum up, prompt guides are not just helpful user manuals. They are strategic tools that allow companies to maximize the efficiency, accuracy, and user value of their AI offerings. This, in turn, brings more satisfied customers, lower costs, higher revenues, and stronger competitive advantage.

For example, some Fortune 500 companies use prompt engineering to create AI assistants that answer customer questions quickly and accurately, improving brand reputation and customer service. Others use prompt guides internally to train employees faster or improve workflows, leading to cost savings and productivity gains.

Effective prompting also reduces the time users spend tweaking AI outputs or correcting mistakes, freeing them to focus on higher-value tasks. Companies recognize this and want users to see the full potential of AI, which encourages broader and deeper use.

Companies give out prompt guides primarily because they help users get better results from AI tools. This leads to a cycle of benefits-better user satisfaction, operational savings, stronger brand positioning, and ultimately higher profits. The personal profit for companies is real and significant, tied directly to how well users can interact with their AI systems.