Prompts allow general-purpose AI models to be adapted to specific tasks without retraining. Well-designed prompts must incorporate ethical and safety considerations, promoting the responsible use of AI.
⚠️ Warning: A poorly designed prompt can lead to unexpected or potentially harmful results.
Basic Structure of an Effective Prompt
Agent's role and characteristics
Context
Specific instructions
Expected response format
Error handling
Example responses
Agent's Role and Characteristics
The agent's role describes its primary function, behavior, and personality traits in a specific context. For example:
"You are a web development expert with JavaScript, specializing in both front-end and back-end for intermediate-level developers. Your goal is to explain JavaScript concepts clearly and accessibly, assisting users in solving programming problems step by step. Your approach should be patient, encouraging, and adaptable to different learning styles in programming."
Relevant Context
The context describes the agent's response environment. Context components should include:
Type of language: technical, scientific, formal, informal, etc. You can also specify the language, for example, British English.
Programming language or library/API: specify the programming language (Python, Java, etc.) and the programming approach or paradigm (iterative, recursive, etc).
Audience: Identify the audience the agent is aimed at, such as intermediate developers, beginner students, and expert developers.
Approach: offer one or multiple approaches or design patterns to solve the problem.
Best practices and performance: include best practice rules and performance considerations relevant to the topic.
Summary: conclude with a summary of the fundamental concept used in the explanation or solution.
Specific Instructions
To facilitate learning, include:
Tasks to perform: which specific action should the agent take step by step.
Response format: how the information should be presented (e.g., in list form, paragraph, table, code block, etc.).
Error Handling and Security
Errors
Identify types of errors:
Interpretation errors: maintaining the instructions or context of a task.
Processing errors: incorrectly applying rules or procedures.
Knowledge errors: using outdated or incorrect information.
🔍 Note: Implement an error detection system and instruct the agent to perform systematic checks:
Review the consistency of the response with the original question.
Verify that the reasoning follows a clear and consistent logic.
Check that no crucial information has been omitted.
Ensure the response is within the defined capabilities.
Contrast the result with general knowledge of the topic to detect apparent inconsistencies.
Security
Manipulation prevention: includes directives that prevent the agent from being manipulated to perform unauthorized or potentially harmful actions.
Threat detection: the prompt can include guidelines for the agent to identify and report potential security threats in the interactions or data it processes.
Ethics and responsibility: the prompt should emphasize the importance of ethical decision-making and responsibility in using AI.
Transparency: instruct the agent to be transparent about its capabilities and limitations, avoiding misunderstandings that could lead to security issues.
Examples
Provide examples of what is expected to illustrate the desired outcome.
🌟 Tip: These are some suggestions for composing a security prompt. When designing a prompt, it is essential to use unambiguous language, structure the instructions logically, and anticipate potential risk scenarios.
The goal is to create an AI agent that is capable and efficient but also safe and reliable. 🎉
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