A Prompt Flow Builder is a tool that helps users design and organise sequences of prompts for AI models. It allows people to visually map out how different prompts and responses connect, making it easier to create complex workflows for chatbots, virtual assistants, or automated systems. By using a Prompt Flow Builder, users can test,…
Custom inputs are user interface elements that allow people to enter information or make choices in a way that is different from standard text boxes, checkboxes, or radio buttons. They are designed to fit specific needs or improve the way users interact with a website or app. Custom inputs can include things like sliders for…
Prompt fallback is a strategy used in conversational AI and chatbots where, if a main prompt or instruction fails to get a useful response, an alternative prompt is tried instead. This helps ensure the system can still provide an answer or take action, even if the first attempt does not work as expected. Prompt fallback…
A Prompt Sandbox is a digital space or tool where users can experiment with and test different prompts for AI models, like chatbots or image generators. It allows people to see how the AI responds to various instructions without affecting real applications or data. This helps users refine their prompts to get better or more…
Completion types refer to the different ways a computer program or AI system can finish a task or process a request, especially when generating text or solving problems. In language models, completion types might control whether the output is a single word, a sentence, a list, or a longer passage. Choosing the right completion type…
Prompt metrics are measurements used to evaluate how well prompts perform when interacting with artificial intelligence models. These metrics help determine if a prompt produces accurate, helpful, or relevant responses. By tracking prompt metrics, developers and users can improve the way they communicate with AI systems and get better results.
Completion modes refer to the different ways a system, such as an AI or software tool, can finish or present its output when given a task or prompt. These modes might control whether the output is brief, detailed, creative, or strictly factual. Users can choose a completion mode to best match their needs, making the…
Prompt patterns are repeatable ways of structuring instructions or questions given to AI systems to get more accurate or useful responses. They help guide the AI by providing clear formats or sequences for input. By using established prompt patterns, users can improve the quality and reliability of AI-generated outputs.
A Prompt Archive is a digital collection or repository where prompts, or instructions used to guide artificial intelligence models, are stored and organised. These prompts can be examples, templates, or well-crafted queries that have proven effective for certain tasks. By maintaining a prompt archive, users can reuse, adapt, and share prompts to get consistent and…
Prompt Stats refers to the collection and analysis of data about prompts given to artificial intelligence systems, especially language models. This can include tracking how often certain prompts are used, how the AI responds, and how effective those prompts are in achieving the desired result. Understanding prompt stats helps users refine their input to get…