Hey fellow AI Automation Society, I'm genuinely curious about real-world AI/automation success stories! Many businesses struggle with manual processes, and I love seeing how smart solutions can make a huge difference. Have you implemented any AI automation or used no-code platforms to achieve significant efficiency gains or digital transformation? Maybe you built a custom app development solution, or automated a complex workflow with Airtable? What were the specific problems you faced, what AI automation software or tools did you use, and what was the impact? I'm eager to learn from your experiences and share practical insights. Let's hear your best examples of process improvements! 💀

Hey everyone, I'm a student learning AI Automation and I feel stuck at a stage where I know the tools, but I don't know how to turn them into real business. I know things like: n8n workflows APIs AI agents LLM integrations automations But my problem is this: I know the ingredients and how to mix them, but I don't know which recipe clients actually want. Questions I struggle with: How do you identify problems worth solving? How do you convert your technical skills into services/packages? How do you decide pricing? How did you get your first few clients? What type of AI automation projects are businesses actually paying for today? I'm not asking for shortcuts. I'm willing to learn and put in the work. I just feel lost between learning skills and building something people pay for. I'd love to hear from people who are already earning good figures with AI automation: What did your journey look like? What mistakes should beginners avoid? If you were starting again today, what would you focus on? Any advice would mean a lot. Thanks! "Sometimes I feel like I'm standing in a kitchen full of ingredients, knowing what each one does, but having no idea what recipe to make or how to sell it. Has anyone else been through this stage?"

I run a distillery in remote WA and we're building a formalised sales program from scratch. AI's moving fast and I'm trying to work out where it genuinely fits versus where it'll just make us look like everyone else. We've got two distinct branches, and I suspect AI plays differently in each: 1. Trade sales (bottle shops / on-premise) Small, relationship-driven retail. The dream is: AI handles top-of-funnel research and personalised outreach, flags the warm ones, and my in-person rep follows up to close. I'm wary of full AI cold calling here — it can read as off-brand fast in a trade this relationship-led. I'm more interested in AI-assisted research and email personalisation (warm-up, not replacement) than full automation. Keen to hear if anyone's drawn that line and where. 2. B2B corporate gifting (hampers) We sell gift hampers to large-ticket vendors — real estate agencies, car dealerships, etc. The buyer is usually the boss, but the day-to-day contact is the admin officer who routes the emails and, frankly, gets stuck building the hampers en masse (not their favourite task). We'd ideally have AI research all relevant contacts in our radius, scrape emails, and somehow create personalised emails to each potential lead. 3. B2C - We run Klaviyo email newsletters to our ~1300 subscribers. We're starting to use more automation. Our latest angle is to have me record an update video (5min or less), then use descript and claude analyse the transcript break the video into: YT long form, YT shorts, IG shorts and klaviyo email copy. My questions for the group: - For relationship-driven trade, what's worked beyond generic email blasts or AI callers? - For B2B gifting, has anyone used AI to win the boss and reduce friction for the gatekeeper who actually does the work? - How are you using AI within your B2C emails/marketing/lead gen? - What should we avoid?

Fable 5 and Mythos 5 launched June 9th to hundreds of millions of users. Three days later, at 5:21pm on a Friday, Anthropic received a government letter ordering them to cut off all foreign nationals from both models. Since they can't verify nationality across their user base, the only option was to pull both models for everyone, everywhere, instantly. The reason given: a jailbreak that lets users bypass Fable 5's safety guardrails and access Mythos's raw cybersecurity capabilities. Anthropic reviewed it, called it narrow and non-universal, and pointed out the same technique works on GPT-5.5, which received no such order. The government disagreed and the models went dark regardless. This is the first time a frontier AI model has been forcibly pulled from public deployment by a government. No appeal window. No transparent technical review. A letter arrives, and by 10pm your product is offline globally. If your business runs automations, workflows, or client-facing tools on top of frontier AI, the Fable 5 situation just proved those can be switched off overnight with zero warning through a mechanism that has nothing to do with the company you're paying. That's not a hypothetical risk anymore. The precedent is set.

Let's get to know each other! Comment below sharing where you are in the world, a career goal you have, and something you like to do for fun. 😊