INBOX INSIGHTS, August 27, 2025: Organizational Assessments, 2025 Hiring Demand by Industry

INBOX INSIGHTS: Organizational Assessments, 2025 Hiring Demand by Industry (2025-08-27) :: View in browser 👉 Pre-register for our new course, the AI-Ready Strategist! Watch This Newsletter 🎧 Listen to this newsletter as an MP3 The Organizational Readiness Assessment That Actually Works I want to tell you a story about one of my more spectacular failures. […]

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In-Ear Insights How to Identify and Mitigate Bias in AI

In-Ear Insights: How to Identify and Mitigate Bias in AI

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris tackle an issue of bias in AI, including identifying it, coming up with strategies to mitigate it, and proactively guarding against it. See a real-world example of how generative AI completely cut Katie out of an episode summary of the podcast and […]

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INBOX INSIGHTS, July 30, 2025: AI Integration, Google Tag Gateway

INBOX INSIGHTS: AI Integration, Google Tag Gateway (2025-07-30) :: View in browser 👉 Download our new, free AI-Ready Marketing Strategy Kit! Watch This Newsletter 🎧 Listen to this newsletter as an MP3 Where to Start with AI Integration Last month, I watched a friend’s team spend three weeks trying to connect their new lead scoring […]

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In-Ear Insights Everything Wrong with Vibe Coding and How to Fix It

In-Ear Insights: Everything Wrong with Vibe Coding and How to Fix It

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the pitfalls and best practices of “vibe coding” with generative AI. You will discover why merely letting AI write code creates significant risks. You will learn essential strategies for defining robust requirements and implementing critical testing. You will understand how to […]

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In-Ear Insights The Generative AI Sophomore Slump, Part 2

In-Ear Insights: The Generative AI Sophomore Slump, Part 2

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss how to break free from the AI sophomore slump. You’ll learn why many companies stall after early AI wins. You’ll discover practical ways to evolve your AI use from simple experimentation to robust solutions. You’ll understand how to apply strategic frameworks […]

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In-Ear Insights: How Generative AI Reasoning Models Work

In-Ear Insights: How Generative AI Reasoning Models Work

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the Apple AI paper and critical lessons for effective prompting, plus a deep dive into reasoning models. You’ll learn what reasoning models are and why they sometimes struggle with complex tasks, especially when dealing with contradictory information. You’ll discover crucial insights […]

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INBOX INSIGHTS: Fear-Based Management Failures, Economic Indicators (2025-05-21)

INBOX INSIGHTS: Fear-Based Management Failures, Economic Indicators (2025-05-21) :: View in browser 👉 Our Unofficial Guide to the LinkedIn Algorithm has just been updated with brand new information! Watch This Newsletter 🎧 Listen to this newsletter as an MP3 Leading With Fear Is Not Leadership I posted about this on LinkedIn this week, but it […]

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INBOX INSIGHTS, May 14, 2025: Strengthening Your Foundation, Ethics in AI

INBOX INSIGHTS: Strengthening Your Foundation, Ethics in AI (2025-05-14) :: View in browser 👉 Check out our new free, automated AI newsletter of weekly AI news you should care about! Watch This Newsletter 🎧 Listen to this newsletter as an MP3 Strengthening Your Foundation I was taking a strength class over the weekend where the […]

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In-Ear Insights Codepedency on Generative AI & ChatGPT

In-Ear Insights: Codependency on Generative AI & ChatGPT

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss codependency on generative AI and the growing risks of over-relying on generative AI tools like ChatGPT. You’ll discover the hidden dangers when asking AI for advice, especially concerning health, finance, or legal matters. You’ll learn why AI’s helpful answers aren’t always […]

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