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2d •
🚀New Video: Turn Any Website Into LLM Ready Data INSTANTLY
In this tutorial, I show you how to turn any website into LLM-ready data in seconds using Firecrawl and Claude Code. We cover everything from scraping content and extracting branding information to mapping entire sites and pulling structured data. I walk through setting up the Firecrawl MCP server in Claude Code, then demonstrate real use cases including scraping 200 job listings from a remote job board and extracting branding details from landing pages. The best part is you don't need to think about configuration or which API endpoints to use. Just tell Claude Code what you want and it figures out the rest. FIRECRAWL DISCOUNT
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3d •
For beginners who don't know where to start
Most AI tutorials are made by developers, for developers. They skip steps. They throw around jargon. They assume you already know things you don't. You watch video after video and somehow end up more confused than when you started. That's not a you problem. That's a teaching problem. I made something that fixes it: -> For beginners who don't know where to start PS: If you’re already an AIS+ member, we will be rolling this out to you for free shortly. No need to buy it.
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7d •
🏆 Weekly Wins Recap | Jan 31 – Feb 6
This week inside AIS+ was packed with real traction. First clients landed, outreach fears broken, systems shipped, and builders stepping into confidence instead of overthinking. Here are a few standout wins inside AIS+ 👇 👉 @Ahmed Bin Faisal signed his first client via Upwork just one month after joining - full automation delivered and a very happy client. 👉 @Joe Scott scaled from £1K workflow builds to £30K AI agent projects by selling outcomes, not tools. 👉 @Deniz G built his own internal business app using n8n, Claude, and Supabase - CRM, inbox sync, lead scoring, and AI assistant all live. 👉 @Anthony Rako left his dev job, bet on himself, and landed a €2,380 real estate automation contract. 👉 @Nick Stadler cold-called 10 businesses and booked his first discovery call - outreach muscle officially activated. 🎥 Super Win Spotlight: @Gerard Vazquez | First Client Through Action Gerard joined AIS+ looking for clarity, real support, and a place to actually build.Instead of waiting, he reached out to people he already knew, booked multiple calls and closed his first consulting client at €1,500. With help from the community, he solved issues faster, delivered confidently, and proved to himself that action beats endless research. 🎥 Watch Gerard share his story 👇 Gerard’s journey shows that you don’t need everything figured out - you just need to start the conversation and keep moving. ✨ Want to see wins like this every single week? Join AI Automation Society Plus and turn learning into real outreach, real clients, and real momentum 🚀
4h •
Discipline vs Motivation in Automation
Motivation gets you started in automation. New tools. New ideas. Big possibilities. Discipline is what builds working systems. Motivation connects tools. Discipline defines triggers, tests logic, fixes errors, and documents flows. Motivation feels powerful. Discipline creates reliability. Automation doesn’t reward excitement — it rewards consistency. Clear structure. Iteration. Refinement. If you rely only on motivation, you’ll keep rebuilding. If you build with discipline, your systems compound. When working on automation, do you depend more on motivation or discipline — and what has that produced in your results?
3h •
An AI Agent without these components isn’t an "agent"—it’s a statue.
“Everyone talks about AI agents as the future of work” But what actually makes an agent ....”WORK” to achieve a task assigned to it? So, here are the 5 pillar/components that turns the “statue” into “Agents” - 1.LLM(Brain) -Large Language Model, it’s the core intelligence of the Agent. -It’s Generates responses, Understand Context in plain English -As mentioned, this is the brain, meaning without it all other parts will be useless. 2.Prompting(Instruction) - It means you are instructing the agent what and how to do the task and achieve the goal. - It’s like you are instructing the new employee of your office what and how they are supposed to do their work. 3.Memory - It stores the past interactions so each time agent knows and recall information what we were talking last time,what was the task assigned to it and it learn from the past interactions. - Short term memory(context based) , Long term memory(knowledge base). 4. External Knowledge - AI models like ChatGpt , Gemini are pre trained on a huge amount of data but you can train it more by providing your company’s pdf , spreadsheets etc to get the desired output. - Without the external knowledge Agents are limited to the general information and could not perform specific Business tasks. 5.Tools - Tools transform an Agent from just Chatting to being actually able to get things done by executing actions.. -It is giving access to your different softwares like Email,Calendar,CRM, to send an email,book an appointment , and update the database.
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