Business Development Moment

Just a heads-up, today I used New Beta Google Blog's AI search links, which means Google attaches the best links to make reading way smoother. What do you think about that? Let's chat and swap thoughts! “From GA4’s AI Advisor to Google Search AI Overviews — are we using the machine, or is the machine starting to use us?” Why Now? — Google’s Analytics AI Advisor , AI-Driven Search Links , and the Human Question Google is rolling out two major AI-powered features that could reshape how we interact with information: 1.The Analytics Advisor inside Google Analytics 4 (GA4), and 2. AI-enhanced Google’s blog Search Links tools that generate answers (and summaries) directly within the results page. At first glance these feel like smart, convenient upgrades — more responsive, more conversational. But beneath that veneer lies a deeper set of questions: why is Google doing this now, and not earlier? And even more fundamentally — do we use Google, or does Google use us? As I explo...

  When I first built my no-code AI marketing agent, I was full of excitement. Finally, I had a tool that could brainstorm content, generate campaigns, and speed up many of my marketing workflows. It felt like having a partner always ready to help. But after a while, I noticed something subtle but important. The posts started sounding more “machine-crafted,” less of me. I began to wonder: Was I letting AI do so much that my own voice, my creativity, was being sidelined? This got me thinking: Is it okay to depend too much on AI? And what do I lose when I let it take over? What Happens When You Rely Heavily on AI From my experience, these are some of the risks I encountered: 1.Creativity fade: When I lean on AI to generate content, drafting ideas, I skip over the hardest but most creative parts myself. Over time, I felt less inspired to come up with original angles. 2. Voice gets diluted: My style started to sound more generic. The uniqueness that pulls in my audience felt...

In the ever-evolving landscape of artificial intelligence, several terminologies have emerged that can often lead to confusion. Among them are Agentic AI, AI agents, Generative AI, and Generative AI agents. Understanding these concepts is crucial for business developers as it can significantly impact how they integrate AI into their strategies and products. In this blog post, we will explore each term, provide clear definitions, exemplify each concept, and discuss their relevance to business development. 1. Agentic AI Definition: Agentic AI refers to artificial intelligence systems that can operate autonomously and make decisions based on their understanding of the environment, goals, and rules set by humans. Such systems are designed to take actions that achieve specific objectives without continuous human oversight. Example: Tesla and Self-driving Technology Self-driving cars are a prime example of Agentic AI. These vehicles interpret sensory data from their surroundi...