The model you choose today is a liability tomorrow. Most companies are currently making the single most expensive mistake in their AI journey: they are treating LLM selection like a popularity contest. They choose the “celebrity” models, the ones with the loudest CEOs and the most tabloid-style hype, and they hard-code them into their business …
by Scott King 
When Anthropic introduced the Model Context Protocol (MCP) in November 2024, it triggered a wave of hype. YouTube videos, blogs, and tweet threads all chimed in to say: this is the future of AI integration. And in many ways, it is. But in our latest conversation, I wanted to step beyond the hype and ask: What …
by Scott King 
“You Don’t Have the Flexibility to Hot Swap” On a recent episode of The All-In Podcast, Chamath Palihapitiya and David Friedberg discussed a major challenge facing companies adopting Large Language Models (LLMs): the inability to swap out models as technology advances. David Friedberg asked where technology companies or investors should start in order to take …
by Scott King 
AI tools have transformed how businesses and individuals approach tasks, but understanding how to use these tools effectively takes some practice. We reviewed three prompt engineering guides from OpenAI, Microsoft, and Google, focusing on their intended audiences and the skills needed to work with large language models (LLMs). Prompting is not just a skill but …
by Scott King 
AI adoption is no longer optional—it’s a competitive necessity. But deploying AI isn’t as simple as downloading pre-built models or subscribing to generic cloud services. Half the AI your business needs already exists in vendor solutions, but the other half is uniquely yours. Half of the AI you need must reflect your specific processes, data, …
by Scott King 
Access to LLMs, like ChatGPT, make many believe that they are a complete automation solution. This belief, however, is misguided. Using these tools without full automation behind them keeps workflows slow and manual. Krista Chief Geek John Michelsen cautions, “If you’re still pasting documents and pulling answers manually, you are doing the work. Automation should …
by Scott King 
AI is Streamlining Policy and Procedure Access As more of your processes move to digital formats, providing employees with accurate, up-to-date information on policies and procedures is critical for maintaining efficiency and compliance. Traditional virtual agents rely on predefined scripts, providing answers to expected questions. However, this approach often results in inconsistencies, delays, and user …
by Scott King 
Implementing Effective Data Protection Strategies Large Language Models (LLMs), like Gemini and ChatGPT, are transforming how we summarize and generate content. Their remarkable ability to understand and generate human-quality text has led to many innovative applications in a relatively short time. LLMs are becoming an indispensable tool in the modern workplace, from writing emails and …
by Chris Kraus 
Generative AI, with its ability to produce human-quality text, translate languages, and write different kinds of creative content, is changing the way people work. But just like any powerful technology, it’s not without its vulnerabilities. In this article, we explore a specific threat—LLM jailbreaking—and offer guidance on how to protect your generative AI applications. What …
by Scott King 
The competition among Large Language Models (LLMs) is just beginning. Who had even heard of LLMs a year ago? Certainly, the early market leader has been OpenAI, but the past few days have shaken things up. With unpredictable swings in leadership and fleeting triumphs akin to the world of sports, the battle for supremacy in …
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