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12 contributions to AI Automation Society
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6d •
🏆 Weekly Wins Recap | June 20 - June 26
From $33.5K enterprise projects and 1,000-user SaaS milestones to App Store launches and AI-powered business systems, another week inside AIS+ showed what's possible when you keep stacking the reps. 🚀 Standout Wins of the Week inside AIS+ 👉 @Michael Wacht signed a $33.5K AI Enablement project, helping a client manage inventory across 10,000+ SKUs with a scalable decision framework. 👉 @Sai Santosh Kumar D reached 1,000 users just 18 days after launching his SaaS, proving that shipping and iterating beats waiting for perfect. 👉 @Mario Eduard Vlase launched MyCoachEd on the App Store, bringing AI-powered fitness coaching into a real product people can use. 👉 @Emanuel Cira built a free AI Automation Assessment Widget that instantly shows prospects automation opportunities tailored to their business. 👉 @Holger Peschke celebrated two straight years of showing up on Skool every single day—a reminder that consistency compounds. ⸻ 🎥 Super Win Spotlight | @Ron Nedd Ron joined AIS+ to stay ahead of where AI and automation are heading. Since then, he's grown his skills, started helping local businesses automate real processes, and gained the confidence to take on larger opportunities. His biggest takeaway? The greatest value isn't just the content - it's being surrounded by people who are building, sharing, and helping each other succeed. 🎥 Watch Ron's story 👇 ✨ Every big result starts with consistent action. Inside AI Automation Society Plus, members are building real businesses, real systems, and real momentum - one win at a time. Come build your next win with us 🚀
2 likes • 24h
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2 likes • 24h
Amazing
2 likes • 2d
Yeah honestly it's only gotten better. The native AI nodes alone make it worth it in 2026. Now you can build proper agent workflows without stitching everything together manually. Self-hosted + queue mode + Postgres and it handles real scale too. Not just hobby projects.
2d •
How to step up a second AI brain?
I've been using Claude Pro for a while and I want to build an "AI second brain" with it at the core. A few specific problems I'm trying to solve: - Remembering what I've already learned or researched - Speeding up how I consume and retain information - Getting help with writing and content — not just one-off prompts - Staying on top of tasks and projects without losing context I'm leaning toward combining Obsidian with Claude, and possibly using Claude Code to build automations around it (things like scripts to summarize notes, surface past research, or sync context). But I'm not sure how to connect these pieces in a way that actually works day-to-day. For anyone who has built something like this: → Where did you start — notes, tasks, writing, or something else? → Has anyone integrated Obsidian with Claude to auto-summarize notes or pull up past research? How did you set that up? → What's one thing you wish someone had told you before you started? Looking for real-world experience, including the parts that don't usually get talked about.
0 likes • 2d
@Frank van Bokhorst Thx. The index file tip is the one I have never seen anyone mention. Do you update it manually or is there a script keeping it in sync?
2 likes • 2d
@Muhammad Haris Thanks the tip I didn't know I was missing. Is the ingestion step a manual trigger or am I able to run automatically when something hits Raw?
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3d •
🚀New Video: Stanford's Method Turns Claude Into a PHD Level Research Team
Stanford's STORM research method runs a topic through five different expert perspectives instead of a single prompt, so the blind spots one angle misses get caught by another. I turned it into a free Claude skill that spins up a practitioner, academic, skeptic, economist, and historian, maps where they disagree, then verifies every source before handing you a clean HTML briefing. I also put it head to head against Claude Code's built-in Deep Research, and walk through exactly how to install it and tweak the lenses for your own work.
1 like • 2d
🔥 Amazing
4d •
Using AI safely?
What are your tips for using AI safely? I have created and tested plenty of custom Skills, Routines and custom Claude setups, but I'm really curious on what your practices are, on every level. How do you protect your data?
2 likes • 3d
Something that is talked less about is the output side of ai everyone mostly focuses on what goes in not what about what comes out. If your workflow is automated and the ai model response goes somewhere downstream before you review it that's a whole other type of risks. I started validating outputs before they touch anything real basically a sanity check layer that flags if the response contains stuff it shouldn't or tries to do something outside the expected scope. Also started keeping a simple log of what data shapes have passed through which workflows. Not the actual data just the category and timestamp. It sounds kinda boring but when something goes wrong you actually know where to look instead of just guessing. The other thing i think people underestimate is who on your team has access to what. One person building careful workflows means nothing if someone else on the team is just pasting raw client data into the chat window with no guardrails.
2 likes • 3d
@Diana Skipper Szyper yeah I built it myself mostly because nothing I found really fit with what I was doing. Basically just a few checks that run before the response touches anything real like does it look like it's doing something outside the task scope, does the format make sense, anything weird in there. If something trips it just stops and flags instead of pushing through. The logging is super minimal on purpose its just workflow id, timestamp, category and pass/fail. No actual content since I didn't want to create a new data problem while trying to solve one. The reason I built it was a near miss where an automated response went into a client facing system and it was technically correct but totally wrong in context. No damage done but that was enough for me to never skip the review gate again. You can have the tightest setup and someone on the team just pastes raw client data straight into the chat window and suddenly none of it matters.
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