AI tools are a mess right now. One tool for slide decks. Another for research. Another for videos. Another for reports. You spend more time moving outputs between apps than actually getting work done. That’s exactly why OpenSwarm is blowing up right now. It’s a free open-source AI agent system that turns one prompt into a full workflow using multiple AI agents working together. Not one chatbot trying to do everything badly… an actual team of specialized agents. One agent handles research. Another handles slide decks. Another handles data analysis. Another creates documents. Another generates images and videos. Then an orchestrator coordinates the whole thing automatically. That’s the difference. You don’t manually stitch workflows together anymore. The system figures out which agents to use and routes the work itself. Real example. You type: “Create a complete investor pitch for my startup.” OpenSwarm can generate the market research, build the slide deck, create charts, write the executive summary, and package everything together in one workflow. Or you tell it: “Analyze this CSV and create a quarterly business report.” It runs the analysis, builds the charts, writes the report, and gives you an actual finished deliverable. This is why people are comparing it to tools like Claude Code… except OpenSwarm goes way beyond coding. Claude Code is incredible for development workflows. OpenSwarm is built for multi-agent execution across research, content, docs, data, presentations, and even video production. And the craziest part? It runs from your terminal with almost no setup. This is where AI is heading now. Not one giant assistant trying to do everything… but teams of specialized agents working together automatically. The people learning this stuff early are going to move way faster than everyone still doing workflows manually. If you’re smart, don’t just consume AI content. Install one tool. Test one workflow. See where it saves you time. That’s how you actually get ahead.

You know that task where you go back through past client deals, look for patterns, and try to figure out what's actually working and why. It takes hours. Sometimes a full day. This week I let Gemini 3.1 Pro handle it. Because it's connected to my own files and the web at the same time, it spotted patterns across my past deals and matched them against what's happening in the market right now. Things I would have completely missed on my own. That's the difference between spending your Friday guessing what to do next week and actually knowing. If you want to explore building workflows like this into your own work, you can join here: https://www.skool.com/ai-profit-lab-7462/about?ref=fc2bc25e21b64a5382b9d0af171ed85f

I run the creator side for a supplement brand. We build faceless AI influencer pages using TTS content and link-in-bio to drive product sales. We already have a group of 30-40 creators and we're bringing on a few more. What's included: — Personal 1:1 group with me — 4-5 live calls per week — 1:1 support calls — Trending content updates in real time — Strong compensation — A team that actually helps you grow Perfect for someone who's been curious about AI content but hasn't known where to start — or someone already creating who wants a more structured setup with real income attached. DM me and I'll share more details. 🤝

AI Training 👉 https://sanny-recommends.com/learn-ai Most people still think AI agents are hard to use… picking models, setting up tools, choosing prompts, building workflows manually. That’s exactly why most people quit before they ever get real results. Hermes Agent just changed that completely with a new feature called Curator. And honestly… this is one of the biggest updates to AI agents so far. Before this, you had to choose the right agent for every job yourself. Research agent, writing agent, coding agent, planning agent… pick wrong and the output falls apart. Waste of time. Start again. Curator removes that problem. Now you just describe the goal. Curator figures out the rest. It picks the best agents, chooses the right tools, selects the right models, builds the workflow, and runs the job automatically. That’s the shift. You don’t manage the agents anymore… the system manages itself. Here’s a real example. Say you want a full month of content for your business. Curator can pull a research agent to find trends, a writer agent to create posts, a planner agent to schedule them, and a reviewer agent to clean everything up. One prompt. Full workflow handled automatically. That used to take hours of setup and testing. Now it happens in minutes because the right agents get picked the first time. And this is where it gets interesting. Curator actually learns over time. It watches which agents perform well, which ones fail, and improves its decisions with feedback. So the more you use it… the smarter the system gets. This is why AI agents are about to go mainstream. The hard part was always setup and routing. Curator just removed that barrier. The people who learn this now are going to be way ahead because in a few months, workflows like this are going to be normal. If you’re smart, don’t just watch videos about AI agents. Build one workflow. Test one process. Learn how these systems actually work while everyone else is still figuring it out.

Mom's diagnosis hit hard. Wanted to understand everything. Started reading every medical paper, treatment guideline, clinical study I could find. Overwhelming. Hundreds of pages of dense medical jargon. Couldn't tell what mattered. THE RESEARCH OVERLOAD Downloaded 40+ papers from PubMed. Bookmarked another 30 articles. Printed some. Lost track of what I'd already read. Doctor appointments: "Have you read about treatment X?" No idea. Maybe? I'd read so much it blurred together. Couldn't remember which study said what. Couldn't compare findings across papers. Just drowning in information without understanding. THE SUMMARIZER I BUILT Every paper, report, treatment guide goes into folder. Workflow processes automatically. First pass extracts key information. Study type, sample size, main findings, limitations, author conclusions. Second pass generates plain-English summary. What did this study actually find? What are the important takeaways? What questions should I ask the doctor about this? Everything searchable. "What studies mention immunotherapy?" Instant answer. Creates comparison views. Multiple studies on same treatment side by side. Easier to see consensus versus outliers. THE INFORMED ADVOCACY Before: Drowning in research, couldn't retain it, felt helpless, couldn't advocate effectively. After: Summaries I could actually understand, questions prepared for appointments, felt like a partner in her care. One summary helped me ask about a treatment option her oncologist hadn't mentioned. Turned out to be a good fit for her situation. Mom is in remission now. Research didn't cure her. Doctors did. But being informed made me a better advocate during the scariest time of her life. The summarization struggles with highly technical papers. Some medical jargon too specialized. But captures enough to know if a paper is relevant. This is the workflow json i want to share