AI Prompt Engineering Techniques

This transcript covers advanced AI prompt engineering techniques shared by Greg Isenberg and Sam Parr, focusing on how to get better results from AI tools like Manus, ChatGPT, and others.

Key AI Prompt Engineering Techniques

• Ask AI to create the optimal prompt for you

  • "It might be the biggest hack of using LLMs - ask for the prompt"
  • AI tools have seen all prompts, so they know what works best
  • Example: "Can you create a prompt that I can give my AI developer to generate this landing page..."
  • This produces detailed, structured prompts that are far better than what most users would create

• Role-playing/persona technique

  • Ask the AI to respond as if it were a specific person you admire
  • "Pretend you're XYZ person you look up to"
  • Examples:
    • "How would Warren Buffett start this business? Why or why not?"
    • "Pretend that you're a BCG or McKinsey consultant and you're cold-hearted and all about operations"

• Attach relevant images or documents

  • Include any visuals or documents that provide context
  • "You should attach any images or documents that you think are relevant to whatever it is you're trying to do"

• Upload specific content for specialized advice

  • Example: Uploading financial data and a Warren Buffett book, then asking "What would Warren say about this?"
  • Provides context-specific guidance based on real materials

• Use voice-to-text tools like Whisperflow

  • Allows for more casual, conversational interactions with AI
  • "I click a button on my computer and anywhere where I would normally be typing it transcribes what I'm saying"

Benefits of Advanced AI Tools (Manus specifically mentioned)

• Creates detailed project plans and to-do lists automatically
• Breaks complex tasks into phases with specific action items
• Provides structured frameworks for implementation
• Can critique business ideas and offer constructive feedback
• Performs research and analysis in real-time
• Creates detailed specifications for technical implementations

Practical Applications

• Building products and websites quickly
• Creating quizzes and assessment tools
• Developing business strategies
• Analyzing business models
• Generating detailed specifications for developers
• Streamlining workflows and project management