Prompt feature rollout planning is the organised process of introducing new features or updates to a software system, focusing on when and how users gain access. It involves scheduling releases, managing risks, and ensuring that changes are communicated clearly to all stakeholders. The goal is to minimise disruption, gather feedback, and adjust the rollout as…
Category: Regulatory Compliance
Rate-Limited Prompt Execution
Rate-limited prompt execution is a process where requests or commands, known as prompts, are controlled so that only a certain number can be carried out within a set time period. This helps prevent overloading a system or service by spreading out the workload. It is commonly used in software and online platforms to ensure fair…
Persona-Specific Token Control
Persona-Specific Token Control is a technique used in artificial intelligence and natural language processing where specific tokens, or special words, are used to guide a system to respond as a particular character, role, or personality. By including these tokens in prompts or instructions, models can be directed to generate responses that match the tone, style,…
Autonomous Prompt Selection
Autonomous prompt selection is when an artificial intelligence system chooses the most appropriate prompt or instruction by itself, without needing human direction. This allows the AI to decide how best to approach a task based on the situation or input it receives. The aim is to make AI systems more adaptable and capable of handling…
Permissioned Prompt Access
Permissioned Prompt Access is a system where only certain users or groups are allowed to use or view specific prompts within an artificial intelligence platform. This approach helps organisations control sensitive or proprietary information, ensuring that only authorised individuals can interact with or modify key prompts. It is often used to maintain security, privacy, and…
Continuous Prompt Improvement
Continuous Prompt Improvement is the ongoing process of refining and adjusting instructions given to AI systems to achieve better results. By regularly reviewing and updating prompts, users can make sure that the AI understands their requests more clearly and produces more accurate or useful outputs. This process often involves testing different wording, formats, or examples…
Hierarchical Prompt Execution
Hierarchical Prompt Execution is a method of organising and processing prompts for artificial intelligence systems in a step-by-step, layered manner. Instead of handling a complex task all at once, the system breaks it down into smaller, more manageable parts, each handled by its own prompt. These prompts are arranged in a hierarchy, where higher-level prompts…
Prompt Ownership Framework
A Prompt Ownership Framework is a set of guidelines or rules that define who controls, manages, and has rights to prompts used with AI systems. It helps clarify who can edit, share, or benefit from the prompts, especially when they generate valuable content or outputs. This framework is important for organisations and individuals to avoid…
Operational Prompt Resilience
Operational Prompt Resilience refers to the ability of a system or process to maintain effective performance even when prompts are unclear, incomplete, or vary in structure. It ensures that an AI or automated tool can still produce useful and accurate results despite imperfect instructions. This concept is important for making AI tools more reliable and…
Prompt Testing Harness
A prompt testing harness is a tool or framework used to systematically test and evaluate prompts for AI language models. It allows developers to input different prompts, measure responses, and compare outputs to ensure the prompts work as intended. This helps in refining prompts for accuracy, consistency, and effectiveness before they are used in production…