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16 contributions to AI Automation Society
want to join a coalition?
i think its time to form a partnership across multiple ai automation fields. the goal to create a loose partnership between proven ai automatons that stay in touch with each other daily across time zones, languages and countries sharing their BS free insight (so not skool) and refer each other customers based on real world ai automations that each member specializes and has proven to deliver on time, budget and quality metrical (so be ready to provide contact information of your previous/current customers so we can validate experience and feedback). want in? DM your linkedin/resume/website(requirement)
1 like • 10h
@Alexander C This is a powerful direction. The AI space is moving too fast for isolated builders to keep up alone, and real collaboration between proven operators creates a completely different level of growth and execution. Focusing on verified experience, real delivery, and trusted referrals instead of hype is what makes a network like this genuinely valuable long term.
1 like • 10h
@Nicholos Williams Sounds more like a curated network of proven builders rather than fully open-source collaboration. The focus seems to be on trusted connections, real-world execution, and people who can actually deliver results consistently. That kind of quality control can make a big difference when serious projects and referrals are involved.
What I learned from building N8N workflows with Claude Code.
Recently, I moved from building N8N workflows manually to using Claude Code to build the workflows. Here are five lessons I've learned from building in N8N workflows with Claude Code. Lesson 1. Be Specific. Be specific with your goal and your desired outcome. A good way to make sure Claude knows specifically what you want to achieve is to write up a technical document or project report containing some brief detailed information about what your building, who you're building it for, the problem you're trying to solve, along with other project specifications you think might be important. The document you feed Claude doesn't have to be long, nor does it have to contain all the information about the architecture of the workflow, the different nodes you would use, or any other technical information that a builder would normally need to know. Treat Claude like a developer. Just give Claude a brief report telling it what you want and any specific details you have that you can provide and let Claude do the thinking and designing. Lesson 2. Don't just jump in to building the workflow with. Put Claude in planning mode and make sure Claude asks you specific questions about what you are trying to achieve. I've noticed that sometimes Claude will think of things that I didn't think of. Get Claude to ask you questions about your project so it knows more about what it needs to do to create the most satisfactory outcome. Lesson 3. If your project is a complex project that requires multiple workflows, ask Claude to spin up some agents that can work in parallel and build multiple workflows at once. The workflows won't be production-ready immediately. They will need to be tested, and you'll have to test each of them one by one. Having Claude's spin-up agents that work in parallel will save you time. Just make sure that Claude has a solid understanding of your project before asking Claude to spin up multiple agents to build each of the workflows. Lesson 4. Create backups and periodically save your progress. Use GitHub and JSON files to save your progress and back up your workflows and projects. By creating a GitHub repository, you can download your projects and the workflows from GitHub to your laptop when you're not using your desktop. Once you're done working on your project on your laptop, you can ask Claude to push the changes to GitHub and then download the changes from GitHub to your desktop and proceed from there. GitHub is a free cloud service you can use to save your project.
6 likes • 10h
@Andrew Gaupp This is the kind of post that saves people months of trial and error. The biggest takeaway here is that AI performs best when treated like a real collaborator instead of just a tool. Planning, architecture, testing, version control, and clear specifications are what separate quick experiments from workflows that can actually scale and survive production. The point about battle testing is especially valuable because most automation failures don’t happen in the happy path they happen in the edge cases people forget to account for.
South Florida Communities
Hey everyone, just wanted to see if there were any people actually located in the South Florida area looking to work and build an in-person community and network to utilize the school classroom and the tools here, since I work better hands-on. If anybody else knows people or already has something over here, that would be great. Let me know.
2 likes • 2d
@Wasim Mohammad This is a smart move. Online learning is powerful, but building in-person connections and surrounding yourself with people taking action can accelerate growth on a completely different level. strong communities create accountability, collaboration, and real momentum especially for people who learn best hands-on.
2 likes • 10h
@Wasim Mohammad Building a real community around learning and execution can become a massive advantage over time. The strongest networks usually start with a few people genuinely willing to connect, share ideas, and grow together consistently. That kind of foundation creates opportunities far beyond just online conversations.
I Think a Lot of People Are Quietly Struggling With This.
Loads of people are learning AI right now. Watching tutorials. Trying different tools. Saving loads of ideas. But I think the real struggle for a lot of people is this: Knowing where to actually start. There’s so much information out there that it becomes overwhelming. You end up learning loads, but still not building anything properly. The people getting results with AI aren’t always the most talented. They’re usually just the ones who stop overthinking, start testing things, and stay consistent. If anyone wants help figuring out practical ways to use AI properly, I’m happy to share what’s been helping me. Curious to hear from everyone: What’s been the most confusing or frustrating part of learning AI for you so far?
2 likes • 17h
@Hugo Alexander Absolutely. A lot of hesitation comes from uncertainty more than lack of ability. Once people gain clarity on the next step, momentum usually follows. Clear direction often removes more resistance than motivation ever could.
1 like • 14h
@Rob Craven This is one of the most grounded takes on AI right now. Too many people chase tools before understanding the actual problem they want to solve. AI amplifies direction it doesn’t replace it. The people seeing real results are usually the ones who commit to one clear path, stay focused long enough to learn the fundamentals, and use AI to accelerate execution instead of avoiding decisions.
Claude ´s way to tell me that my level is improving …
« You’ve hit your session limit. Resets in 1h … » I am on max plan… we are on a Sunday… what about your last claude diploma?
0 likes • 1d
@Luke Davison That’s the mindset that really compounds over time. While most people switch off, those small Sunday learning sessions quietly stack up into real skill, confidence, and momentum. Consistency in moments like this is usually what separates curiosity from real progress.
2 likes • 1d
@Samuel Cohen Strong communities don’t really remove that invisible work they evolve it. The healthiest ones make contribution feel shared and natural, so the load doesn’t sit on a few shoulders indefinitely. The real strength shows when consistency spreads outward and maintaining the culture becomes something the group carries together over time.
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Jessica Allen
3
9points to level up
@jessica-allen-6199
Consistent action. Clear vision. Building my future.

Active 8h ago
Joined Mar 6, 2026
UK london
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