5 Prompts in action
This chapter covers
- Applying prompt engineering in project management
- Utilizing AI chatbots for project management learning
- Enhancing prompts with problem formulation
- Generating practical, work-ready content using AI
In this chapter, we move from concepts to action, demonstrating how AI can enhance project management through well-crafted prompts. Using ChatGPT, we’ll explore a detailed scenario that shows how to create practical, work-ready deliverables. Our approach unfolds in two parts: first using basic prompt engineering to achieve our goals, and then showing how a deeper understanding of problem formulation can streamline the process.
When discussing ChatGPT-4, it’s important to understand that we’re referring to a family of models. The 4o model, now the default for premium plans, delivers efficient performance with real-time response capabilities. Alongside it comes the 4o mini model, which trades some capability for increased speed and offers more cost-effective API calls. However, the true powerhouses in OpenAI’s lineup are the o1 and o3 models. Available exclusively to paying customers, these models incorporate an innovative approach: they first analyze the request and strategize the best solution before beginning their response. Although this process takes longer, it consistently produces superior results.