I really enjoyed Igor's masterclass on Avatar, so I'm going to use my avatar to introduce my product on my You Tube channel and probably on my Instagram, and Tik Tok, once I get all my content together I think I will let her introduce each new training video. I will need to upgrade, but heygen is awesome. Since I'm just starting out it might take a minute before I can afford to have her do all the content in my courses, building her I got messages telling me how many credits it would take to have generate what I had created for her to do and say, so I had to eliminate some parts but it worked out great. Thanks Igor and AI team.

I cracked Social SEO. With $0 budget, 0 team, 0 contractors, 0 agencies. I know multiple startups getting 1000s of users from organic social. Literally a hack if you know how to repeatably acquire attention. For the last few months I've been trying to hack AI vs social vs SEO. Without dropping in quality or authenticity. And I finally did it. 1.6M+ website views in 2025 for my solo bootstrapped startup. High profit margin w/ compounding user acquisition flywheel. I've documented my entire AI content strategy in a step-by-step guide. This is the same strategy that helped me: - Grow my personal brand to 1.5M+ - Drive hundreds of new users daily - Generate consistent traffic from socials I cannot share links in this group, so feel free to Ask Me Anything 👇

We are not limited by what AI agents can do. We are limited by what we trust them to do. As conversations accelerate around agentic AI, one truth keeps surfacing beneath the hype. Capability is no longer the bottleneck, confidence is. ------------- Context: Capability Has Outpaced Comfort ------------- Over the past year, the narrative around AI has shifted from assistance to action. We are no longer just asking AI to help us write, summarize, or brainstorm. We are asking it to decide, route, trigger, purchase, schedule, and execute. AI agents promise workflows that move on their own, across tools and systems, with minimal human input. On paper, this is thrilling. In practice, it creates a quiet tension. Many teams experiment with agents in contained environments, but hesitate to let them operate in real-world conditions. Not because the technology is insufficient, but because the human systems around it are not ready. The moment an agent moves from suggestion to execution, trust becomes the central question. We see this play out in subtle ways. Agents are built, then wrapped in excessive approval steps. Automations exist, but are rarely turned on. Teams talk about scale, while still manually double-checking everything. These are not failures. They are signals that trust has not yet been earned. The mistake is assuming that trust should come automatically once the technology works. In reality, trust is not a technical feature. It is a human layer that must be intentionally designed, practiced, and reinforced. ------------- Insight 1: Trust Is Infrastructure, Not Sentiment ------------- We often talk about trust as if it were an emotion. Something people either have or do not. In AI systems, trust functions more like infrastructure. It is built through visibility, predictability, and recoverability. Humans trust systems when they can understand what is happening, anticipate outcomes, and intervene when something goes wrong. When those conditions are missing, even highly capable systems feel risky. This is why opaque automation creates anxiety, while even imperfect but understandable systems feel usable.

Came across this image and it really caught my attention, so I had to share it. What does it say to you when you see it? 👀

Hi, I’m Sanvi Raj. I’m an entrepreneur driven by purpose, learning, and the idea of growing together as a community