Iterative prompting is the practice of refining AI output through successive feedback. It mirrors how humans improve drafts—review, tweak, and revise. Rather than expecting perfect results on the first try, users can ask the model to adjust tone, format, length, or focus. For example, you might start with: “Write a short article about sustainable tourism.” […]
Chain-of-thought prompting (CoT) is a technique that enhances a model’s ability to solve complex problems by breaking tasks into logical steps. Instead of delivering answers instantly, the model is encouraged to “think aloud.” This method is especially useful for math problems, logical reasoning, strategic planning, and structured writing. For instance, instead of asking, “What’s the […]
Role prompting is a powerful technique in prompt engineering that enables users to shape AI responses by giving it a specific identity. When a model adopts a role—such as a chef, historian, or digital marketer—it filters its output through that lens, often yielding more relevant and useful results. This approach helps the AI focus its […]
Getting started with prompt engineering can feel overwhelming, but a few simple strategies can dramatically improve results. Whether you’re working on content creation, coding, or data analysis, the secret is in the details. First, start with specificity. Instead of asking “Write a story,” try “Write a 200-word horror story set in a Victorian mansion, featuring […]