Category: Management

  • You Ask, I Answer: Getting Teams Excited About AI?

    Summary In today's episode, I describe how to motivate teams to adopt AI by emphasizing results over technology. Here's what this means for you. You can win organizational support by using AI to eliminate the most tedious and painful tasks on employee to-do lists. You'll also learn these concepts: the TRIPS framework for task assessment,…

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  • Mind Readings: How to Vibe Code Well, Part 3

    Summary In today's episode, I show you how to build a granular work plan from a product requirements document to prepare for vibe coding. Here's what this means for you. You save time and money by providing your AI with a detailed, file-by-file roadmap before you start coding. You'll also learn these concepts: why reasoning…

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  • Foundation Principles of Generative AI, Part 6

    Summary In today's episode, I explain why effective AI prompting relies on the fundamental skill of good delegation. Here's what this means for you. You can transform mediocre AI outputs into high-quality results by treating the machine like a highly capable but forgetful intern. You'll also learn these concepts: the intern metaphor for AI management,…

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  • Mind Readings: Stop Teaching AI to Fail Up

    Summary In today's episode, I examine how corporate politics and the "failing up" phenomenon can corrupt your AI training data. Here's what this means for you. You can prevent your AI systems from learning to mimic the deceptive and incompetent patterns of poor performers. You'll also learn these concepts: how the Peter principle destabilizes organizations,…

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  • Mind Readings: Doing More with Less and More AI

    Summary In today's episode, I challenge the corporate mantra of "do more with less" by arguing the real answer is to simply stop doing useless work in the first place. Here's what this means for you. Cutting unproductive activities like unnecessary meetings, cover-your-ass reporting, and office politics can reclaim half your workload without any new…

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  • Mind Readings: Change Your Prompts When AI Models Change

    Summary In today's episode, I walk through why you need to update your prompts and code whenever an AI model changes and how to manage that process. Here's what this means for you. You protect the quality of your AI outputs by treating prompt maintenance as an ongoing practice rather than a one-time setup. You'll…

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  • Mind Readings: Best Practices Are Real

    In today’s episode, you’ll learn why the “best practice is no best practice” mindset could be hurting your performance. You’ll understand the value of proven methods and recipes for success, even as you customize them for your needs. You’ll benefit from the insights needed to tell the difference between true innovation and empty criticism. Get…

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  • Mind Readings: AI Ethics Inside Language Models

    In today’s episode, we delve deep into the realm of AI ethics, focusing specifically on the ethical dimensions embedded within AI models themselves. You’ll learn about the three critical levels of language models and how each level impacts the model’s ethical considerations. The discussion covers the three pillars of AI ethics – helpful, truthful, and…

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  • Almost Timely News, October 8, 2023: How To Pilot an AI Deployment

    Almost Timely News: How To Pilot an AI Deployment (2023-10-08) :: View in Browser ๐Ÿ‘‰ Watch the newest version of my talk, the Marketing Singularity, recorded live at Content Marketing World 2023 this week! ๐Ÿ“บ Content Authenticity Statement 100% of this newsletter was generated by me, the human. No AI was used to generate any…

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  • You Ask, I Answer: Doing a Good Job For Clients?

    Summary In today's episode, I break down how to know whether you're doing a good job for your clients using surveys, CRM anomaly detection, and client grading. Here's what this means for you. You gain a clear framework for catching client trouble early and protecting your team from toxic scope creep. You'll also learn these…

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