Summary In today's episode, I walk through the latest developments in agentic AI assistants and break down the five levels of AI enablement along with the risks and opportunities they create. Here's what this means for you. You gain a practical framework for evaluating and safely deploying autonomous AI tools without sacrificing your data or…
How do we make better AI tools? This is the hottest topic right now in the field because model makers are saying they need to slow down the development of new models in the USA while it’s full steam ahead everywhere else in the world, particularly China. When it comes to making AI smarter, there’s…
Lexical? Semantic? Both! Two words that you should be thinking about as you use AI, in particular for larger projects where you have multiple documents, are lexical and semantic. These are the kinds of searches that AI, with the appropriate support tools, can use to dramatically reduce token usage AND generate better results. Lexical search…
I am now more convinced than ever that AI visibility softare is bullshit. Inspired by Lily Ray, I grabbed all my very long query data out of Google Search Console via the API and started looking at it to see what kinds of AI chats were getting passed along as queries in GSC. First, a…
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A very long time ago, I was the Thought Police. I worked at a credit union data center, and I was one of the IT administrators. One of the rather unpleasant tasks I had was to monitor the Microsoft Exchange email server for sensitive data like account numbers, credit card numbers, OFAC data, etc. Microsoft…
Summary In today's episode, I walk through how to map and document undocumented business processes so AI agents can understand and execute them using Trust Insights' 5P framework. Here's what this means for you. You'll gain a structured way to translate the tacit knowledge trapped inside your senior staff's heads into agent-ready instructions without losing…
“It’s your always-on assistant”. This is the common refrain for all the new agent harnesses – Meta Muse, OpenAI Dots, etc. And it’s terrible. Here’s why: an always-on agent is, well, always on. That means it’s always consuming resources in some fashion, whether or not you want it to be. For example, I use Hermes…
AI doesn’t naturally see across domains. Generative AI by its very nature is a probability engine. It returns the highest likely probabilities based on its inputs. That’s part of the reason it struggles with creativity, with true ideation, because it tends to stay in domain. Ask it for marketing ideas, it will return marketing ideas,…
