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AI Automation (A-Z)

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AI Automation Society

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20 contributions to AI Automation Society
Weekly Win — 7 AI Agents, 7 Videos, Zero Manual Work
Hi Everyone. Been deep in Claude Code for the past few months and this week I finally shipped something I'm genuinely proud of. A fully automated YouTube Shorts pipeline. 7 agents that chain together end to end: 🔍 Research → ✍️ Script → 🎭 Avatar → 🎨 B-Roll → 🎬 Render → 📤 Upload → 📊 Analytics What makes it different — it's not faceless automation. Talking head videos, real person, personal brand, any niche. Posted 7 videos in 7 days. One hit 1.1K views on a brand new channel with zero subscribers and zero ad spend. The system is running on a locally hosted web app I built in Claude Code. Good to be here — excited to learn from everyone building in this space. 👋
How do I find clients with 2 automations built?
Hello everyone! I need help when it comes to finding clients for my automation work. I have finished 2 automations so far, a simple RAG chatbot and a dental lead management system. Here's how the dental lead system works: Tally webhook entry, Lead deduplication(checks Google Sheets so the same patient doesn't get processed twice), AI classifies the inquiry then reads Google Sheets FAQ and sends an email back to the patient, Telegram message to the clinic if the case is an emergency, CRM logging, automated follow ups I'm not sure how do I find the right clients for this and if these 2 automations are enough so I can start reaching out to businesses. Does anybody have any tips?
0 likes • 4h
Mofedul's advice is spot on — the dental system is already a real product, not a demo. One thing that works well for finding first clients at this stage: go niche and local first. Find 10 dental clinics in your city, look at their Google reviews and website, identify a specific gap — slow response times, no follow-up system — and reach out with that specific problem in your opener, not a generic "I build automations" pitch. The more specific your outreach is to their actual situation the higher your reply rate. Two solid automations with a clear niche beats a portfolio of 10 generic ones every time.
A new Apify actor is available: Fast Google Maps Scraper.
Google Maps scraping can become expensive when every run uses browser automation, especially when the goal is only to collect local business leads. This actor uses an HTTP-first approach focused on lower compute cost and practical lead generation. It supports: - search listings - place details - reviews - phone numbers - websites - lead scoring - optional website enrichment - The goal is not to replace every full browser-based scraper, but to provide a faster and cheaper option when structured local business data is needed. Actor link: https://apify.com/solutionssmart/fast-google-map-scraper Feedback is welcome from anyone working with local SEO, lead generation, outreach, or scraping automation.
0 likes • 4h
Apify is solid for this. The HTTP-first approach makes a big difference on cost when you're running high volume scrapes — browser automation adds up fast. The lead scoring and website enrichment combo is useful for outreach targeting, saves a manual qualification step. Have you tested the accuracy on businesses with incomplete Google Maps listings? That's usually where scrapers start to struggle.
manual labor vs systemic flow
somewhere in your business right now, someone is spending half a day building a report that will be read in only five minutes - opening four different apps - copying numbers into a spreadsheet - and making slides that nobody asked for all of this is sent to a manager who will probably just scroll through it while distracted in a meeting this happens every week, and everyone thinks it’s normal because "that’s just how we do things." the report isn’t the real problem. the problem is what that report says about how your company actually works if a human has to manually move data from one place to another every week, your tools aren't talking to each other. those four hours of work aren't actually "work", they are a tax you are paying because your business is fragmented you aren’t paying for a smart analyst; you are paying for an expensive human "glue" to hold broken parts together in 2026, the best companies don’t just hire faster workers. instead, they build a better "engine." they use ai that lives between their apps and watches the work happen in real-time. the numbers move themselves, the ai writes the summary, and the answer is ready before anyone even asks for it when four hours of boring copying becomes four minutes of automatic updates, your team is finally free. they can stop staring at spreadsheets and start doing the big projects that actually grow the business if your team is still building reports by hand, you don't have a reporting problem, you have a broken foundation that shows up every Monday morning
manual labor vs systemic flow
0 likes • 4h
"Expensive human glue" is the perfect way to describe it. I ran into this exact pattern when I was doing Amazon PPC management — analysts spending hours pulling data from Seller Central, formatting it, building reports that were outdated by the time anyone read them. The insight that stuck with me: the manual work isn't just slow, it's a symptom that your system has gaps between tools. Once I started thinking in flows instead of tasks everything changed. Building that way now with AI agents that hand off to each other automatically.
Prompts for Agents
What kind of prompts actually improved your workflow?
Poll
56 members have voted
1 like • 4h
Multi-step prompting made the biggest difference for me — specifically breaking complex agent tasks into smaller sequential prompts rather than one giant instruction. When I built a 7-agent pipeline each agent has a tightly scoped prompt that does one thing well. The moment I stopped trying to do everything in one prompt the output quality jumped significantly.
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@zain-abideen-3616
Amazon ads → AI automation. Built a 7-agent YouTube pipeline with Claude Code. Research to upload, fully automated.

Active 3h ago
Joined May 28, 2025
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