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Join me, Nik (https://x.com/CoFoundersNik), as I interview Elizabeth Knopf (https://x.com/@leveragedupside) about the one AI tool everyone is raving about: Cloud Code! We dive deep into why this new offering from Claude is a game-changer for business and automation, even if it looks a bit old-school in the terminal.Â
We also discuss the latest in the model war, including the releases of ChatGPT-5, Claude Opus 4.1, Grok 4, and Gemini, and share our personal rankings. Elizabeth gives a mind-blowing demonstration of how she uses Cloud Code to tackle massive data analysis automation cleanup and analysis tasks, like processing hundreds of thousands of job scraping entries, all by simply speaking English to the AI.
Learn how this tool can remove friction, simplify complex multi-step tasks, and help you build powerful agents for your business.
Enjoy the conversation!
Questions This Episode Answers:
• How has the AI model war evolved recently, and what's the general sentiment?
• What are the key differences and improvements in new LLMs like ChatGPT-5 and Claude Opus 4.1?
• How do leading AI models like Grok, Claude, ChatGPT, and Gemini rank in terms of utility and performance?
• What is Cloud Code, and how can it simplify complex data analysis and automation tasks for business users?
• How can you install and begin using Cloud Code to manage and analyze local files without extensive coding knowledge?
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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 Introduction to AI Models and Cloud Code
07:48 Ranking AI Models: A Comparative Analysis
12:08 Exploring Cloud Code: Installation and Setup
18:19 Building Projects with Cloud Code
23:10 The Social Contract of Podcasting
24:08 Project Overview and Data Cleanup Tool
25:56 Data Analysis and Job Market Insights
28:42 Building Automation Tools with Claude
31:58 Classifying Text and Job Data
36:03 Interactive Data Analysis and Visualization
41:06 Automating Data Cleaning and Insights Generation
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