Caleb Monroe

how to set up hermes agent step by step. built-in memory, 40+ tools, works on your phone, and what to think of hermes vs openclaw: 1. hermes is a personal AI agent that runs in your terminal. think of it like open claw but with built-in memory, 40+ tools out of the box, and 90% cheaper token costs. you install it with one command. 2. the 3 problems with open claw that hermes solves: no memory (you keep repeating yourself), constant gateway restarts, and zero visibility into what you're spending on tokens. 3. hermes remembers everything. every completed task gets saved to memory. it searches through past logs to find solutions. over time it literally gets smarter at your specific workflows. 4. connect it to open router. you see exact costs per model per task. free models rotate weekly. one founder went from $130 every five days on open claw to $10 on hermes. same output. 5. it comes preloaded with skills. apple notes, imessage, find my, browser, web search, image generation, cron jobs. no hunting for plugins. 6. connect it to obsidian so it reads your entire vault. connect it to gstack for your dev environment. create custom skills for your specific workflows. 7. the biggest money saver: have it write code once for recurring tasks. then it runs without burning tokens every time. stop paying an LLM to do the same scrape or report daily. 8. run it on android via telegram. name your agents. talk to them like coworkers. in this episode imran shows you how to set this up. 9. you can run it bare metal, in docker, or serverless on modal. pick your risk level. i begged @imranye to come on @startupideaspod and walk through the full installation live. he made it impossibly clear. if you've heard of Hermes Agent and want the clearest explanation of how to get set up like a pro let me know what you want me to cover on the next ep this is the best personal agent setup video on the internet right now. watch

The biggest lie in content marketing is the "AI content machine" that automatically turns one big piece of content into ten small ones. Last year: ▪️ I got 9M+ impressions on my LinkedIn posts ▪️ Ahrefs Blog got 3M+ unique visitors ▪️ Ahrefs YouTube channel got 3.5M+ views …which hopefully gives me enough credibility to call out bogus content marketing tactics. Enter the problem: There’s this notion that you can take a single long-form piece of content (a sales call or a podcast interview) and use AI to break it down to lots of short-form content like social posts, articles and email newsletters. That works, yes. But the content you get is royal sh*t. That long-form piece of content just doesn’t have enough signal to break it down to lots of smaller pieces that would perform well. You're just spreading one vague idea thinner and thinner across different channels. So at @Ahrefs, we do the opposite. We turn SMALL into BIG: 1. Start with a LinkedIn post. Test your idea. Test the way you frame it. See if anyone cares. Read what people say in the comments. 2. If the post resonates, turn it into a full article. Use the comments as your brief. People literally tell you what's missing, what's confusing, what they want more of. 3. Take your five best articles and rework them into a conference talk. Five validated ideas in one presentation - that’s pure signal. 4. Then discuss that presentation on a podcast. New format, same proven ideas, but now with the depth of a real conversation. 5. Take a few presentations and you got yourself a video course. Get the idea? With every step you add more: more signal, more context, more depth. If you want to create meaningful content with AI, you should configure your "content machine" to work from small to big, not the other way around. …or at least that's what works for us at Ahrefs.

Google's March 2026 core update is done. After 12 days of volatility, rankings are finally stabilizing. What actually matters now: • Pattern analysis • Content differentiation • Long-term alignment Go here to find out what to analyze next 👇 searchengineland.com/google-march-2…