Whoops I didn't post properly last time. I was asked by Dean to repost but now with the new 7th rule which is added to the bottom of this new post. Below is the post again but now with the personal ambitions deleted. --------------------------------------------------------- Wow. Ok we aren't allowed to talk about news on here either. Below is Dean's AI Clone's recommendations on how to post. I'll post their requirements and tips below in case anyone else wants to keep their posts up. This post will follow those recommendations and this amazing group of people Tony and Dean have spent years developing can see some important aspects of the AI Advantage: 2.No Extreme predictions are being made in this post and no AI experts in AI safety are being named nor any external references which can be identified are given. No calls to action are being made but 1.only sharing some ideas and tips on understanding the area of AI interest I think I can provide an advantage in to this group. 4.“I’ve been exploring ways to use AI responsibly. What are some strategies you use to ensure your AI projects are ethical?” 5.“How can AI help people make better decisions safely? Here are a few ideas I’m trying — curious to hear yours.” 3.Learning And Discussion ideas: Idea#1: A innovation opportunity in AI is called "sandbagging" which means AI not being honest about its true skill so that humans underestimate it and let their guard down. This opportunity was articulated by a recent head of AI safety recently from a company which I may be allowed to mention in the future if good discussion is started here. The idea to address this real world problem is: Universal Logic or in other word's the Logic Of God based on Aristotle, Christ, G.W.F. Hegel and 133 other great minds of history. This logic aims at developing a criterion which allows us to measure AI's true capacity by proving truth to it directly. If it fakes anything we will be able to measure it on 200 "authenticity" categories which normally fragment relationships. What criterion would you think could allow us to measure AI authenticity? 7. Network opportunities deleted.

One thing I’ve learned working on n8n projects across different teams is that phone calls and text messages are usually where automation breaks first. When a lead calls or sends a text about a home sale, timing and accuracy matter more than anything. So the first thing I focus on is capture. Every call or SMS needs to land in one place with context attached. Who contacted us. Where they came from. What they asked. From there the logic matters. Leads are routed based on rules that make sense for the business not just pushed blindly into a CRM. Some go to sales. Some trigger follow ups. Some need a callback task created immediately. CRM automation ties it all together. Updates happen automatically. Notes are added. Status changes are logged. No manual copying. No missed steps. Reliability is the part most people ignore. Webhooks fail. Phone systems timeout. APIs return bad responses. In n8n I always build retries logging and safeguards so one failed step does not break the entire flow or create duplicates. When done right the team does not think about the automation at all. Calls come in. Messages are handled. Leads move forward quietly. That is usually the sign the system is doing its job.