How I Use ChatGPT Like the Top 1% Business Owners (Live Demo) - next-wave Recap

Podcast: next-wave

Published: 2025-12-30

Duration: 19 minutes

Summary

Nathan Lands demonstrates how he leverages ChatGPT to function as a business advisor by setting up projects that provide context and facilitate strategic decision-making.

What Happened

Nathan Lands opens the episode by explaining how his unique use of ChatGPT has surprised his friends and helped him build his company, Lore, by acting as a trusted business advisor. He discusses the importance of setting up ChatGPT projects, which include various files such as company theses, meeting notes, and financial models, to provide context that enhances AI's usefulness.

Nathan elaborates on his process of using voice-to-text software like WhisperFlow to record meeting notes, which he then uploads to ChatGPT projects for contextual analysis. This method helps him draw connections between disparate pieces of information, allowing for better strategic planning.

He highlights the effectiveness of uploading diagrams and images to ChatGPT projects, noting that AI models can now comprehend visual information, which aids in understanding complex systems. Nathan also discusses the limitations of AI in handling financial models, suggesting that while they can grasp basic concepts, they struggle with more complex financial data.

Nathan introduces the concept of maintaining a key contacts file within ChatGPT projects, which helps him keep track of important relationships and receive suggestions on interactions that could be beneficial to his business. This approach has enabled him to make rapid progress in his business dealings.

He explores the idea of using presentations and style guides within ChatGPT projects, emphasizing how this helps maintain brand consistency across various business functions, from marketing to design.

Nathan also mentions the feature of sharing ChatGPT projects, noting its potential benefits for collaborative work with business partners, though he expresses some reservations about privacy and shared history concerns.

In closing, Nathan encourages listeners to experiment with setting up ChatGPT projects, arguing that the added context significantly improves the quality of advice and insights provided by the AI. He emphasizes that while AI can offer valuable advice, it should be treated as one of many data points in decision-making.

Key Insights