One of my goals with my Day 1/Day 2 builds in the 7 Day challenge was to post to LinkedIn more and get more followers. The LinkedIn/Newsletter agent i created I've expanded on and its actually pretty cool in my opinion, thought I'd share: What started as a news letter, and then utilizing the Firecrawl scraper, I was able to link my 2 agents together to create a research and writing machine. Scape sources -> write a LinkedIn post -> automatically publish it after my approval. Today I took it one step further. I now have an agent that helps me analyze my LinkedIn Posts for engagement, and reference back to the articles it's written. Based on the engagement metrics, it will analyze what the best topic(s) are for my LinkedIn post the next day. This can continue to iterate, and hopefully generate better and better content as time goes on! I also had it create for me a dashboard with key performance metrics of my posts. Pretty stoked how this has turned out so far! More to come.

Hey everyone! Trying to learn more on the business side of running an AI Consulting agency or just independently consulting. I’ve been experimenting and building with AI for a while now (although new to this community!) and have 12+ years of systems architecture and engineering experience. What I don’t have is the sales experience or deep understanding of how to form relationships, get clients, and grow the business side of what I’m trying to build! Would appreciate any advice on how people in this community who have experience with landing gigs, clients, or running successful businesses go about getting leads, developing client relationships, and/or any workflows you’ve developed to help automate/increase your productivity in doing so!

Stanford's STORM research method runs a topic through five different expert perspectives instead of a single prompt, so the blind spots one angle misses get caught by another. I turned it into a free Claude skill that spins up a practitioner, academic, skeptic, economist, and historian, maps where they disagree, then verifies every source before handing you a clean HTML briefing. I also put it head to head against Claude Code's built-in Deep Research, and walk through exactly how to install it and tweak the lenses for your own work.

Hey everyone, complete beginner here and I genuinely don't know where to start. Every time I open YouTube, there's a new AI model, a new tool, or a "you're doing it wrong" video that makes me feel like I'm already behind before I've even begun. I started a course, and halfway through, something new dropped that the course hadn't covered yet. How do you even keep up? And more importantly — for someone starting from absolute zero, what does a solid roadmap look like, all the way from the basics to actually being skilled at AI automation? Would love a step-by-step breakdown from those of you who've been through it. What to learn first, what to ignore, and how to stop feeling overwhelmed by the noise. Any guidance is appreciated! 🙏

Literally. How do you cope with all these AI updates? To a point I question myself, how do people even figure what they want, what they use, how they manage it all. It felt like everyday is a learning curve but if you are always learning, how and when will you be able to you execute? Just a thought and I was interested to know how people even manages this?