Shout out to all our MVPs for this month, without your engagement, this community is nothing! Let's keep growing and let's keep building with the momentum of AI! 1) @Muhammad Haris 2) @Shahana Kamalenthiran 3) @Haran Muralee Special mention to @Katia Adolphe @Maiyuran Gireedharan @Divine Ilekhue We are going to be dropping our paid community this month, stay tuned and stay engaged. Once again, shout-out to all our MVPs for the month of June

This tool is insane. It can do things that take most of us weeks in a day. I just made a whole virtual assistant using this tool. It now handles all my CRM and notes from all calls through my CRM system. Anyone else try this puppy out yet? @David Winholtz @Evan Weingartner @Tiffan Kanna @Malcolm Duvivier @Zander Charles @Haran Muralee @Maiyuran Gireedharan

If you are new to Claude and AI automations, you have probably come across terms that don't make sense. Tokens. MCP. Context window. Agentic loop. This guide defines 50 of them in plain English. A few things in here are most important when you are just starting: - Tokens are the unit Claude uses to measure everything. 1 token is roughly 1 word. - Claude re-reads your entire conversation on every message. By message 30, you are paying 31x more than message 1. - Long conversations make Claude worse, not just slower. Quality drops as the chat gets longer. - A CLAUDE.md file tells Claude who you are before every session starts. Like an employee handbook. I have compiled a PDF and attached it here. Save it and refer back when you hit a term you do not know. Which term was new to you?

When it comes to AI - so many different names but how do you know when to utilize what AI software?

I’m sure you’ve seen the headlines by now. Anthropic just raised $65 billion at a $965 billion valuation. Their revenue went from $1 billion to $47 billion in basically no time. It’s crazy numbers, but let's look past the tech-bro hype and talk about what this actually means for our businesses. When a company raises that much cash to buy up datacenters, they aren’t trying to keep AI expensive. They’re doing the exact opposite. They are scaling up so they can completely crash the price of raw intelligence. The cost of high-level AI reasoning is about to plummet to basically zero. If you’re a solopreneur building smart workflows, this is incredible. But if you’re a traditional software company? You should probably be terrified. Think about all those random software tools you pay $50 to $150 a month for. Most of them are just pretty interfaces sitting on top of basic databases. They charge you a premium for features that a single, highly capable AI agent can now do for pennies. When the cost of intelligence hits zero, a massive chunk of the software we use every day becomes obsolete. We’re moving away from buying standard software apps and moving toward building actual "Agents as a Service." The winners next year aren't going to be the people hoarding a massive stack of software subscriptions. It’s going to be the operators who know how to stitch raw, cheap compute into custom digital employees that handle their operations for them. If your plan is to just keep buying off-the-shelf tools and connecting them with basic Zapier links, your business setup is going to feel very outdated, very fast. The barrier to entry to build massive, enterprise-grade systems is dropping to nothing. The only thing that matters now is knowing how to architect them. (Inside the Pro group, we’ve already stopped looking for new software to buy. We’re building native, agentic frameworks designed to take advantage of this new low-cost environment. I’m going to map out our exact architecture blueprint during our private deep dive next week so you can see how it works.)