AI Prompt Creation Framework [ B-R-I-G-H-T ]

The LLM (AI) IS LIMITED ONLY BY THE QUALITY OF THE PROMPTS IT GETS. By using different prompt frameworks, you can shape how the AI responds. You get more control, more relevant answers, and an overall better experience.

Background - Role - Input - Goal - Horizon - Task

BACKGROUND:

Provide sufficient context or backgroundinformation relevant to the task. This helps the AI model understand the specific domain or context of the prompt and generates more targeted responses.


ROLE:

Define a role or persona for the AI, such as a teacher, consultant, or developer. This enables the AI to respond more appropriately by assuming the mindset and knowledge base of the defined role.


INPUT:

Offer clear and concise insight or input data or instructions that the AI can work on. Specificity is key here to avoid ambiguous or vague outputs


GOAL:

State the end goal, objective or outcome you want to achieve. Defining a goal helps the AI align its response with the desired result..


HORIZON:

Define a scope or horizon or tone of the response. This could include time frames, limitations, or specific areas of focus to narrow down the AI's response and make it more applicable.


TASK:

Clearly describe the specific task or action you want the AI to perform. Be as explicit as possible to prevent ambiguity in the response