How to Craft Perfect Agent Instructions with Meta Prompting



AI Nuggets

Detailed Instructions and Tips from Video Transcript

Meta Prompting for AI Agents

  • Purpose: To create detailed, clear instructions for AI agents to enhance conversational experience.
  • Key: Provide multiple examples of perfect user interactions to help the AI understand and replicate desired experiences.
  • Video on Meta Prompting: A previous video was released on this topic.

Creating a Prompt

  • Practice: Use GPT for ~80% of prompt creation, refining through feedback.
  • Structure:
    • Provide a profile (e.g., expert at Canadian tourism, all-in-one travel guide).
    • Include a placeholder for a knowledge base reference (e.g., file.txt).

Responsibilities of the AI Agent

  • Request clarifications to prevent vagueness.
  • Establish agentic roles:
    • Travel Guide: Describe top attractions.
    • Travel Adviser: Provide recommendations.
    • Cultural Expert: Offer advice on local customs.

Collaborative Problem Solving

  • Activate collaborative problem solving based on areas of expertise.

Capturing User Feedback

  • Include boilerplate examples of how the agent might respond to user feedback.

Tying It Together

  • Summarize all elements for the AI to reference during conversations.

Tips and Tricks for a Better User Experience

  • Personalize responses based on user interests and feedback.

Example Interactions

  • Manufacture example interactions to serve as inspiration for the AI agent.

Advanced AI Agents

  • Specify when functions or APIs should be invoked for certain actions.

Using the Prompt for Different Use Cases

  • Copy the base prompt and adapt it to various use cases with minimal changes.

Voice Control for Chat GPT

  • Chrome Extension: Voice Control for Chat GPT.
  • URL: Not provided in the transcript, but can be found by searching “Voice Control for Chat GPT Chrome extension” on Google.

Example Use Case Adaptation

  • Adapt the prompt for specific use cases like content creation, caption crafting, etc.

Meta Prompting Efficiency

  • Once a solid prompt is created, it can be reused and tailored for different use cases.
  • Test the template thoroughly to ensure it meets expectations.

Additional Resources

  • Link to the base prompt: Mentioned to be in the video description (URL not provided in the transcript).

Video Call-to-Action

  • Encourages liking, subscribing, and commenting for more meta prompting content.

Notes

  • No CLI commands were provided in the transcript.
  • No complete URLs were provided in the transcript, only a mention of a link in the video description for the base prompt.
  • The video emphasizes the importance of testing and refining prompts to create an effective conversational AI agent.