IT Insights by Julian Rouse

Earlier this week, I discussed how  prompt engineering  can be applied to the cleaning industry. Today, I want to take a more general approach and explore the step-by-step process of crafting, testing, and deploying AI prompts into production. As I’m relatively new to this journey myself, I’m excited to take you along with me as I discover more about how to leverage AI tools to automate tasks and streamline workflows. Rest assured, as I gain more experience, I’ll be sharing updates and insights to help you stay informed. Step 1: Define the Goal The first step in prompt engineering is to clearly define what you want the AI to accomplish. Having a specific goal in mind ensures that your prompt is structured effectively. Consider these questions: What task or process do I want to automate? What details does the AI need to perform the task successfully? Example Goal:  Automating customer service responses or creating scheduling systems for better efficiency. For instance, if ...

I am currently doing some work for a cleaning company and quickly realized that, in today’s business landscape, the majority of cleaning companies do not fully leverage technology. However, those that do are able to set themselves apart by improving efficiency and customer service. In today's competitive environment, prompt engineering—a technique for crafting effective inputs for AI systems—can play a crucial role in streamlining operations and boosting productivity for cleaning businesses. Whether you’re managing residential or commercial cleaning services, prompt engineering with AI models like GPT, GitHub Copilot, and others can help automate tasks, enhance customer service, and improve operational efficiency. Let’s explore some real-world examples of how prompt engineering can benefit cleaning companies. 1. Automating Customer Service Responses One challenge cleaning companies often face is managing a large number of customer inquiries. Whether clients are asking about service...