If you feel 2026 will require MORE AI skills, adoption... If you want faster implementation and integration into your life or business... If you want SUPPORT & COLLABORATION... I created a Black Friday / Cyber Weekend offer specifically for people who'd like to partner with me for the entire year. This is a one-time offer that expires on Monday 11:59pm MT. I'm offering EVERYTHING I have and EVERYTHING I WILL CREATE in 2026. Check it out at: https://dtspeaks.com/black-friday **GOT QUESTIONS?? Let me know.

Happy Thanksgiving Gang! I hope you are having a blast with your friends, family or self this day! I recorded some ideas for Black Friday AI resources and wanted to make sure you saw them. I am thankful to be alive at this day and time and want to show appreciation by running, learning and sharing! Before you get too stuffed, check out the video below and let me know if any of it interests you. Create a Great Day! https://youtu.be/ckroI4O_RSw?si=t7yJToFTPnld1f5z

Whenever I teach about AI & Business Development ... I never focus on "top of funnel" strategies. ie, strangers or people who barely know you. Trying to convince strangers or trick algorithms is TUFF! Not impossible. But not the best use of time. Instead, I focus on bottom of the funnel. Customers, leads, and people in your database. HERE, we can leverage conversational AI and automation to make sure their questions are answered. ✔ Meetings are booked ✔ Email & DMs are monitored ✔ Critical information is readily available I don't care about AI detectors. I'm solving problems quickly and efficiently. Once we get these areas automated with AI, THEN we move up to content creation and awareness based marketing. -- Of course there's no wrong way to go about it. But when you start at the bottom, you'll see tangible results in weeks, not months. Also... when you know you can convert, close, and manage leads, you feel more confident with driving traffic and creating awareness campaigns. Create a Great Day!

Because AI is easy and smart, you could end up wasting a lot of time building a solution that' s not needed or effective. Here are 3 common situations when you should not use AI... 1. Existing apps are widely available 2. You're not proficient in the work 3. Conditional logic is all that's needed (1) AI vs Existing Apps - It blows my mind when people try to use AI for design when Photoshop or Canva works. Or for building websites when there are hundreds of other web builders and templates. I've had sales people describe use cases for Ai to manage leads and they just needed a CRM. Just because you can, doesn't mean you should. MAKE SURE THERE'S NO EXISTING APP before you start looking to invent with AI. (2) This of course leads us to the second point: You're Not Proficient - If you've worked in a profession for 5 years or so, you most likely understand the best practices most common tools and even all the steps to execute the process. From that perspective you can not only judge quality results better, you can also break down the steps and choose where AI might fit and where human perspective is needed. IF YOU'RE NOT PROFICIENT... you best solution is to DELEGATE it to some who is. They can make decision and choose where AI could be helpful. (3) Lastly, let's really understand where AI, especially generative AI excels - Generative AI is predictive and creative. If your use case is logic and based on finite solutions, you might just need a template and an automation or integration. You don't need your system to "THINK"" if you have fixed rules. Just have it follow the rules you've set, not generate an answer. (I wrote an article about this earlier today. I spend hours trying to build an AI agent to solve a issue but it kept timing out. Kept hitting errors. Then I realized I could remove the AI and just use an automation and now it works every time) --- Does this make sense? Have you ever tried using AI for a while, only to later realize AI was no needed??

Lately, I've been thinking a lot about AI literacy and AI fluency. Both are essential, yet they are quite distinct. To me literacy is a general understanding of AI's past, present, and future. It helps with leadership. It helps with hiring and strategic thinking. It helps with planning and processing news and events. Literacy comprises of understanding history of type of AI: machine learning, deep learning, and generative. Literacy in AI understand that AI's been around for 50 years. That deep learning AI is what drove social media in 2010's to become addictive and change societies online attention. It's was made YouTube and and Netflix's algorithm understand what shows to recommend. AI is not not new... but in the last few years a number of things happened to open up this new wave... When you're AI literate, you understand the 3 components of AI: data, compute, and algorithm. You know how the invention of the transformer in 2017 (by Google) was the key to the algorithm that unlocked generative AI. Which Open AI capitalized and used to create the first GPT. And how NVIDA's processors are the key to compute and the unlawful scraping of the internet is the data component of today's AI boom. To be AI literate, you understand how all AI is just a prediction algorithm, leveraging the scope of human language to predict the next token. And with prediction the results are not guaranteed to be exact. AI literacy, you understand the principle of prompting and that as AI is built upon the human language, language is also the driver of results. To be literate, it means you understand the levels of AGI: Chatbots > Reasoners > Agents > Organizations and Innovators. ... and when organization and innovators are live, we'll enter a realm of AGI - Artificial General Intelligence where AI is generally as smart and capable as the average human... in understanding all of life. You understand this goal of AGI and even ASI (Artificial Super Intelligence) where AI is infinitely more capable in all aspects of reality -- is the GOAL of the scientist and engineers who are building today's AI.