Prompt stacking is a technique used to improve the performance of AI language models by combining several prompts or instructions together in a sequence. This helps the model complete more complex tasks by breaking them down into smaller, more manageable steps. Each prompt in the stack builds on the previous one, making it easier for…

Dynamic placeholders are special markers or variables used in digital content, templates, or software that automatically change based on context or input. Instead of static text, these placeholders update to show the right information for each user or situation. They help personalise messages, forms, or web pages by filling in specific details like names, dates,…

Prompt trees are structured frameworks used to organise and guide interactions with AI language models. They break down complex tasks into a sequence of smaller, manageable prompts, often branching based on user input or AI responses. This method helps ensure that conversations or processes with AI follow a logical path and cover all necessary steps.

Modular prompts are a way of breaking down complex instructions for AI language models into smaller, reusable parts. Each module focuses on a specific task or instruction, which can be combined as needed to create different prompts. This makes it easier to manage, update, and customise prompts for various tasks without starting from scratch every…