Okay real talk - if you're still spinning up heavy custom databases for lightweight client projects, you might be overcomplicating your life. I just wrapped a full order management system for a client using Airtable (free tier) as the backend, paired with n8n for all the automation logic. It took maybe 30 minutes to hook up once I had the logic sketched out, and it runs beautifully. Most people treat Airtable like a fancy spreadsheet. But it's actually a legit relational database and honestly one of the most underrated tools in this space. For this client it replaced a pricey software subscription, cleaned up their chaotic spreadsheet situation, and felt like a massive upgrade without the massive price tag. Two things to know before you try it: - The free tier caps at 100 internal automation runs - Easy fix: don't use Airtable's native automations at all, just let n8n do the heavy lifting instead Have you guys been sleeping on tools like Airtable for client builds, or are you already sneaking it into your stack? Genuinely curious 👇

Been experimenting with Claude for automation lately — wanted to share what actually works for beginners. Most people overcomplicate this. Here's what I've learned: The only stack you need to start: → Claude = the brain (tells you what to do with the data) → claude code = the hands (actually does the action) First automation worth building: New form submission → Claude writes a personalised response using their answers → Auto-sent as email Takes 30 minutes to set up. Saves hours every week. What actually makes you better at this: → Give Claude more context, not less — it performs like the quality of your brief → Build one working thing before starting the next → The mistake everyone makes: automating something they don't fully understand manually first To go from beginner to expert: → Month 1: Prompting deeply + one simple workflow → Month 2–3: Chaining prompts, connecting APIs → Month 4+: Full agents, multi-step logic, real client work Took me a while to figure out the right order. Sharing so someone here skips the confusion. 📢Here's 1 to 2 points which even begginers should notice and do not do blindly?? Let's see if you can catch which points they're?? Happy to answer questions if anyone's building something specific ??

There's a name for what happens when Claude starts losing the plot halfway through your session. It's called context rot. Every tool call, every file read, every result - it fills up a window. After 30-40 minutes of real work, 40% of that window is already gone. Claude is working with stale data. It starts contradicting itself. Forgetting what you told it. Giving you garbage. It's not a bug. It's just how these models work. Friday we covered three skills that solve it: - GSD (Get Shit Done) - each task gets its own fresh sub-agent. Like giving each job its own office instead of stacking everything into one room. - - Context Mode - compresses a 315KB tool output down to 5.4KB before it hits your context. Same information. Fraction of the cost. - - Claude Mem - persistent memory across sessions. Claude wakes up next week knowing exactly what you were building. The contractor forgets you between gigs. The employee remembers. That's the difference. Full recording: https://youtu.be/cr7XVJJk-Ec Join us live every Friday - free for Claude Pro users: https://manojsaharan.ai/workshop

I sat down with Devin Kearns, co-founder & CEO of Custom AI Studio, to break down what it actually takes to build an AI agency with real enterprise value, not just another lifestyle business. We get into why most AI work being sold today won't survive 2027, why the mid-market is the prime opportunity (not SMBs or enterprises), the 11 ways AI experts are actually making money right now, how to position with frameworks instead of being just another vendor, and the five things Devin wishes he knew sooner. If you're building, running, or thinking about starting an AI agency, this is the strategic conversation I wish I'd had two years ago.

This week inside AIS+ was all about momentum kicking in. First real client conversations, confidence breakthroughs, retainers locked, and builders finally seeing doors open after consistent effort. Here are a few standout wins inside AIS+👇 👉 @Dion Wang sparked serious interest from a real estate client after sending a Loom - now prepping for a director-level presentation. 👉 @Sarah Swendseid landed her first two clients through warm outreach and is kicking off February with active builds. 👉 Sven Loeffler stacked back-to-back wins with two client calls - one for a lead-gen agent and another for executive coaching automation. 👉 @Wayne Dowden turned years of knowledge into income, landing a retainer deal by finally building what he used to only design. 👉 @Chris Shon booked 5 discovery calls, secured his first testimonial, and is now closing in on a paid engagement. 🎥 Super Win Spotlight | @Dion Wang This week’s standout story comes from a member who went from watching to committing. After joining AIS+, getting comfortable with n8n, and leaning into the community, he finally took the leap - booking his first real business call and realizing: “I can actually do this.” 🎥 Watch his short story here 👇 His journey is a reminder that progress isn’t just about tools - it’s about confidence, support, and choosing to go all-in instead of staying on the sidelines. ✨ Want to see wins like this every single week? Join AI Automation Society Plus and start turning learning into real conversations, real builds, and real opportunities 🚀