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Join me, Nik (https://x.com/CoFoundersNik), as I interview Amanda Orson (https://x.com/amandaorson), a serial entrepreneur who has successfully scaled her company, Galleon, a real estate marketplace, to $60,000 a month in monthly recurring revenue by deeply leveraging AI, rather than a massive team.
In this episode, we dive into the next frontier of AI: moving beyond basic efficiency to genuinely agentic applications that act as a Socratic mirror or even a board member for your business. We discuss how to get AI to prompt you with critical questions, rather than just validating your existing ideas, which is crucial for high-leverage decision-making.
Amanda also shares her practical approach, including how she sets up AI projects in platforms like Claude and ChatGPT, using powerful tools like her strategic context prompt and the game-changing anti-sycophant prompt to ensure unbiased feedback.
Questions This Episode Answers:
• What is agentic AI and how does it fundamentally differ from standard LLMs?
• How can you configure AI to provide unbiased, challenging feedback for critical business decisions?
• What's the most effective way to set up AI projects in tools like Claude or ChatGPT for persistent, strategic support?
• How can strategic context prompts be used to ensure AI understands your unique business details and challenges?
• Is it possible to "interview" specific experts or historical figures through AI by training it with their transcripts or writings?
Enjoy the conversation!
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Love it or hate it, I'd love your feedback.
Please fill out this brief survey with your opinion or email me at nik@cofounders.com with your thoughts.
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This week we covered:
00:00 The Role of AI in Decision Making
02:47 Understanding Agentic AI
06:07 Creating a Thought Partner with AI
09:00 Project Knowledge and Strategic Context
11:54 The Anti-Sycophant Prompt
15:10 Leveraging Transcripts for Insights
18:02 Practical Applications of AI in Business
20:52 Learning from Historical Figures
23:45 Final Thoughts and Future Directions
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