Summary In today's episode, I explain how to use AI leaderboards and build custom evaluation frameworks. Here's what this means for you. You can move beyond generic rankings to find the specific models that work best for your unique requirements. You'll also learn these concepts: how to select task-specific leaderboards, why you must create proprietary…
How often do you publish the first draft? If you’re any kind of writer, the answer is hopefully never. Hopefully you spend time revising the first draft to a second draft polishing it and removing the things that you could have done better. So how often do you accept the first draft from AI? The…
Summary In today's episode, I explain how to use AI to transform a raw list of URLs into a human-readable format that includes summaries and titles. Here's what this means for you. You can automate the tedious task of manual browsing to create enriched datasets with ease. You'll also learn these concepts: why the ChatGPT…
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AI vendors hate this. You’ll love it. There’s a good chance that 85-90% of what you want to do with generative AI, you can do in a foundation tool like ChatGPT, Gemini, Claude, DeepSeek, etc. A substantial majority of AI companies are little more than wrappers and a nice UI on top of someone else’s…
Summary In today's episode, I discuss the strategies for protecting intellectual property when using generative AI. Here's what this means for you. You can integrate cutting-edge AI into your workflow without risking the exposure of sensitive company data. You'll also learn these concepts: how to audit terms of service, why free AI tools pose significant…
Summary In today's episode, I walk through the AI-ready data quality audit, covering the three levels of data quality assessment, the 6C Data Quality Audit Framework, and why AI systems fail without high-quality data. Here's what this means for you. You'll gain a practical diagnostic approach to catch small data issues before they compound into…
Summary In today's episode, I discuss whether sales teams should learn AI tools directly or simply receive outputs. Here's what this means for you. You eliminate yourself as a bottleneck by empowering your team to self-serve. You'll also learn these concepts: how custom GPTs automate sales tasks, why self-service increases productivity, and how programmatic AI…
Deborah Carver made this excellent point in one of her posts – that theory is great, but until you tackle real problems, you don’t know the capabilities and limitations of the tools you’re working with. This is doubly true of today’s generative AI models. Jay Baer and Nicole Leffer both asked a related question –…
