Still Wasting Time on Unqualified Sales Calls? If your still sitting through spammy calls and ghosted Zoom links… it’s killing your pipeline I just built a fully automated AI call screener that filters your sales calls before they waste your time. 🔍 It checks emails, scores lead quality, flags spam, updates your CRM (GHL), and even feeds conversion data back to your ad platforms (via Hyros). 📽️ I walk you through exactly how it works, including: - The AI prompt + scoring logic - GHL + N8n webhook setup - API hacks to update custom fields - Real spam calls flagged & zapped (with proof!) Check out the full video here. If you want the template you can grab it in my AI Automations Community - it's free to join(for now)

Let me share with you my short article on the subject of Perplexity. I hope you will find it worth reading. I would highly appreciate your feedback. The short poll is at the end of the post. ✔️Is your team already using Perplexity AI? Perplexity (note: this isn't a language model) could change how we work with information, but it also brings serious risks. ✔️Scale of Usage 780 million queries per month with 20% month-over-month growth. Perplexity's current valuation hovers around $18 billion, and since investors are "voting with their dollars," they clearly see this as the future of search tools. It's a US-registered company with mostly Venture Capital funding (60%). 22 million monthly active users. The question is whether companies are consciously supporting this usage or if it's "shadow AI" as described in the interesting MIT report "The GenAI Divide: State of AI in Business 2025"? ✔️Why is Everyone Talking About This? For managers, it means competitive analysis in minutes instead of hours, meeting prep with real-time market data, and competitive intelligence with source citations. For IT teams, it delivers 1,200 tokens/second (3x faster than competitors). What's especially important is that one API gives you access to 8+ models (GPT-5, Claude 4.0, Gemini 2.5), for just $5 per million tokens vs. $30 at OpenAI!!! ✔️Architecture Their proprietary Sonar model is built on Llama 3.3 70B, specialized for factual responses and real-time internet search. Thanks to Cerebras infrastructure, it achieves record-breaking speeds of 1,200 tokens per second. They use DeepSeek R1 - Chinese reasoning technology, but running locally on Perplexity servers in the US. According to sources, data "never" leaves American infrastructure, eliminating the risk of transfer to China. An OpenAI-compatible API ensures easy integration with existing systems, eliminating the need for code changes.

It's great to be able to write at level 2, hoha! 😎🥳 The truth is that I have learned a lot in this short period here. My confidence level is building up. I have also learned how to identify the good, the bad, and the ugly - sharks! Thanks to a great community and platform where we can all come to learn and share. I look forward to future growth overall. Thanks, @Jay Feldman and team!

HI Community! Great to be alive in this time of life where AI is solving pain points and bottlenecks (apart from Jesus). If you're an insurance agent in our community, please reach out. I'm hoping to get a sense of how many of you there are, and to learn about the biggest challenges you face when trying to grow your business. What's the one thing holding you back from scaling? Is it lead generation, administrative tasks, technology, or something else? I'm here to listen and learn. Let's solve this problem together! And if you are not an agent, what is the one thing you 'hate' about agents and what can you suggest to do better? Lol!

Launched this campaign this morning. Everything I learned from Jay is packed into his new 7-hour masterclass. He invested so much time, effort, and money to make it the best resource out there. So if you want results like this, check out his latest video. Look at this email sent ratio ”👀 https://youtu.be/DDGcd1JoJV0?si=KnYsQB7GuXILWEjJ