Prompting Fundamentals

Explore how advanced techniques like Chain‑of‑Thought prompting and other reasoning methods enable AI systems to break down complex problems step by step - when they work, when they don’t, and how you can use them effectively.

Discover how the number of examples you give an AI can completely change its performance. This article breaks down zero-shot vs few-shot prompting, showing when to use each for the best, most accurate results.

We break down what prompting techniques and vocabulary work best for different modalities.

How to use iteration to turn your prompts from basic to pro.

Learn the foundations of prompt engineering, including how to structure prompts with Persona, Task, Context, and Format, and master techniques like Zero-Shot, Few-Shot, Step-Back, and Chain of Thought prompting to achieve precise, business-ready results from AI.

With the primer method, we can feed the AI some source text to analyze before probing it with further prompts. This method has many benefits for copywriting, document analysis, editing, and many more.

With this method, the goal is to break down your larger writing projects into much smaller chunks. This not only gives you more control over the focus of the copy, it also allows you to make and request changes much easier.

With the act as method, we can the AI to position itself as any persona we like, and then follow up with additional prompts and questions. This forces it to be much more focussed and specific with its responses.

With this method, the goal is to make sure that the AI fully understands the task you have given it and has all the information it requires to complete the task. This always ensures you have the most relevant answer to your question.