Jun 10

By Michael L. Kasavana, Ph.D., CHTP, CFTP, MSU Professor, Emeritus, AHLEI Author

ChatGPT Prompt Engineering (Part Three)

Prompt engineering is a technique used to fine-tune and improve the performance of a language model such as ChatGPT by carefully designing and selecting the prompts used to generate responses. The goal of prompt engineering is to create prompts that are well-formed, clear, and specific enough to elicit high-quality responses from the model. Prompt engineering includes techniques such as:

  • Identifying and removing unnecessary information or ambiguity from prompts.
  • Using examples or templates to guide the creation of new prompts.
  • Creating a set of diverse and representative prompts to test and evaluate the model’s performance.
  • Iteratively refining and adjusting prompts based on the model’s responses.

Prompt engineering can be an effective way to improve the performance of a language model in a specific domain or use case. This can be done by providing the model with domain-specific prompts and fine-tuning it to that specific domain. Prompt engineering is also a critical step in creating a conversational AI system, as it enables to design prompts that will lead to more natural and human-like conversations.

Unlike Google, where minimal effort is required when conducting a search, the opposite is true with ChatGPT. To get a good answer, it requires a good amount of forethought. Prompt engineers know how to create prompts that yield valuable output.

AI Agents

An AI agent performs specific tasks autonomously. Unlike a prompt, which is a specific instruction, an AI agent is a self-contained program designed to carry out tasks with little or no human intervention. Simply put, the ultimate purpose of an AI agent is to automate repetitive tasks. The benefits of AI agents include faster and more accurate task completion, increased efficiency, and improved customer experiences. As with every new technology, there are also potential drawbacks, such as the possibility of errors or unintended consequences.

In the restaurant industry, AI agents can be utilized in several areas. For example, AI agents can be applied to analyze customer data and create targeted campaigns based on consumer preferences and behavior. AI agents can respond to customer inquiries and make personalized recommendations for onsite and off-premises dining and catering. Operators can benefit from AI agents that analyze pricing and demand data in real time, adjusting strategies to maximize revenue. Additionally, AI agents can also be used to map out workforce schedules and maintenance services.


ChatGPT is a revolutionary AI tool that can help facilitate front- and back-of-house hospitality operations. It can be used to improve efficiency and use of resources, streamline operations, and provide enhanced customer service. ChatGPT can also help businesses cater to individual guest rooming and dietary preferences and offer customized options, as well as provide comprehensive information, ensuring transparency and inclusivity. Simply stated, ChatGPT can help hotels and restaurants drive growth, foster customer engagement and loyalty, and create memorable experiences. Vendors have begun integrating generative AI capabilities into additional tools to streamline content generation workflows. This will drive innovation in how these new capabilities can increase productivity.

By Michael L. Kasavana, Ph.D., CHTP, CFTP, MSU Professor, Emeritus, AHLEI Author of the Eleventh Edition of Managing Front Office Operations.