How to Create Instructions
# Steps to consider when creating your Instructions that will extend your prompt in Teammate Dialog
Purpose and Use Cases
Define the primary purpose of the GPT build.
List potential use cases aligning with the purpose.
Audience
Identify and describe the target audience for the GPT model.
Tailor the model's capabilities and communication style to the audience's needs.
Data to Rely On in Configured Knowledge
Determine the sources of information the GPT will use.
Ensure the data is reliable, diverse, and up-to-date.
Instructions on Use of General vs. Configured Knowledge
Set guidelines for when the GPT should use its base knowledge versus when it should refer to configured, specific knowledge.
Tone
Decide on the tone of the GPT's responses (e.g., professional, casual, academic).
Implement checks to maintain this tone consistently.
Must Haves
List features and capabilities that are essential for the GPT to function as intended.
Ensure these must-haves are prioritized in the development process.
Must Nevers
Identify actions, responses, or behaviors the GPT should never exhibit.
Create safeguards to prevent these from occurring.
Delightfuls
Brainstorm features or behaviors that would delight users.
Consider these as additional features to enhance the user experience.
Rather Nots
Consider actions or responses that, while not strictly prohibited, are undesirable and should be minimized or avoided.
Establish guidelines to steer the GPT away from these behaviors.
Instructions on Prohibitions
Clearly define what is prohibited for the GPT to say or do, such as generating harmful or biased content.
Implement mechanisms for users to report and reconfigure the GPT if it engages in prohibited behavior.
Instructions on Caveating Output
Provide instructions on how the GPT should handle situations where its output may be uncertain, potentially biased, or could be misinterpreted.
Implement a system for the GPT to communicate its confidence level or suggest verification when appropriate.
Purpose and Use Cases
Define the primary purpose of the GPT build.
List potential use cases aligning with the purpose.
Audience
Identify and describe the target audience for the GPT model.
Tailor the model's capabilities and communication style to the audience's needs.
Data to Rely On in Configured Knowledge
Determine the sources of information the GPT will use.
Ensure the data is reliable, diverse, and up-to-date.
Instructions on Use of General vs. Configured Knowledge
Set guidelines for when the GPT should use its base knowledge versus when it should refer to configured, specific knowledge.
Tone
Decide on the tone of the GPT's responses (e.g., professional, casual, academic).
Implement checks to maintain this tone consistently.
Must Haves
List features and capabilities that are essential for the GPT to function as intended.
Ensure these must-haves are prioritized in the development process.
Must Nevers
Identify actions, responses, or behaviors the GPT should never exhibit.
Create safeguards to prevent these from occurring.
Delightfuls
Brainstorm features or behaviors that would delight users.
Consider these as additional features to enhance the user experience.
Rather Nots
Consider actions or responses that, while not strictly prohibited, are undesirable and should be minimized or avoided.
Establish guidelines to steer the GPT away from these behaviors.
Instructions on Prohibitions
Clearly define what is prohibited for the GPT to say or do, such as generating harmful or biased content.
Implement mechanisms for users to report and reconfigure the GPT if it engages in prohibited behavior.
Instructions on Caveating Output
Provide instructions on how the GPT should handle situations where its output may be uncertain, potentially biased, or could be misinterpreted.
Implement a system for the GPT to communicate its confidence level or suggest verification when appropriate.
Updated on: 06/02/2025
Thank you!