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AI Automation Society

354.9k members • Free

9 contributions to AI Automation Society
Implementing AI into businesses
Hi all, almost at the end of the 7 day course at the moment, loving it so far. My main question so far - So you have a business with a pain point that can fixed with AI (lets use automatically posting content for them as an example), you create a workflow in Claude to solve the issue. How do you actually sell this to the business? Do you just sell them the code in a file and they have to manually set it up? Or do you have to manually access their computer systems, social media, set up claude etc then do it yourself for them? Hope this makes sense! If there's a video on this it would be very useful, thanks!
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🚀New Video: I Tried 100+ Claude Code Skills. These 6 Are The Best.
After 400 hours in Claude Code, I noticed that businesses keep paying for the same six types of skills. In this video, I break down each one, what it does, and why these simple, boring skills are the ones that actually sell. Whether you're brand new to AI automations or already building for clients, these are the skills worth learning first.
9 likes • 18h
Solid breakdown mate, thankyou very much!
Day 2 of the AIS Challenge! 🚀
Keeping the momentum going! Today was all about data extraction and exploring the synergy between Claude Code and Firecrawl. - What I scraped: I successfully extracted structured data from Daily Remote website for job postings with keyword AI Remote Jobs. - Key takeaway: I was impressed by how Claude Code intelligently selected the specific Firecrawl tool for the job. It didn’t just guess; it seemed to analyze the page structure first and chose the extraction method that would minimize "noise" and return the cleanest JSON before converting it to my CSV. - Use case idea: This is a game-changer for competitor analysis and SEO research. I could use this to scrape trending topics or service offerings from top-tier agencies to ensure my own business strategies and content remain ahead of the curve. Getting the MCP server connected and seeing that first scrape run successfully feels like a massive win. Ready for Day 3! 🛠️ #AISChallenge
0 likes • 20h
Great job!
So last month was my best month yet.
I cleared 7k from all my work. But I still have to start at zero this month (I do have one retainer, but still). This is a major problem, because if I need to find new clients every single month, I'm kind of cooked because my earnings will fluctuate between months. I know that this is not a real problem per se. But relationship building takes time, trust takes time. So in most cases you'd rather keep building a relationship with the same client for years. While the opposite of this is a lot of one-offs, which do not grow the business. So to try to mitigate this problem this month, I'll go over all my past work so that I can figure out what else I can offer to the clients I've worked with so far. Because the fact of the matter is that it's far easier to upsell an old client than to try to sell a new one. But you need to be savvy about how you do this, because you need to know what other problems they have. And then figure out how you can solve it for them. I could also think about what problems will come up once I've solved a problem for them. If I sell a WhatsApp lead gen machine, what is the next logical problem that might come up? Follow-ups. So I could upsell a follow-up system so the business can convert more leads. I guess these are the things you're not thinking about while you're in it. But it sure helps to think about them now and then.
1 like • 21h
Congrats! A proper inspiration for those of us just starting out
Resume Matched to 53 Job Postings. Interview Callbacks: 3% → 18%. 🔥
Job search reality. Sending the same resume to every posting. Hoping something sticks. 100 applications. 3 callbacks. 3%. The problem wasn't qualifications. It was matching. Generic resume hitting keyword filters. Losing to tailored applications. Built a resume optimizer. Upload base resume. Upload job posting. System extracts: required skills, preferred qualifications, keywords, responsibilities. Compares to resume. Generates tailored version emphasizing relevant experience. Suggests additions from job description language. Applied the optimized approach to next 53 applications. Results: - 53 tailored applications (each took 5 minutes vs. 45 minutes manual) - 18% callback rate (was 3%) - 4 offers received - Accepted role with 23% salary increase over previous position The optimization isn't lying. It's emphasizing truth. Same experience, better presented for each specific role. What's your callback rate on job applications?
1 like • 21h
Excellent idea!
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@adam-thorley-7346
ACT Property Ltd

Active 1m ago
Joined Apr 28, 2026
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