@oxana__ray: If I were starting from zero with AI automation today, this is exactly what I'd focus on. One thing I've realized is that you learn a lot more when you're actually trying to solve a problem rather than just watching tutorials all day. Here's the order I'd recommend: 1. Learn Claude Get comfortable using Claude. Learn how to write good prompts, give it context, work with documents, generate code and use it to help you solve problems. 2. Get comfortable with n8n This is where things get interesting. Start building simple workflows and learn how different apps, APIs and AI models can communicate with each other. 3. Learn Ollama Experiment with running AI models locally. Understand how it works and how you can connect local models to your automations. 4. Learn Docker basics You don't need to become an expert, but you should understand containers, images, Docker Compose, volumes and environment variables. It'll make self-hosting tools much easier. 5. Build an AI agent Don't just build another chatbot that answers questions. Give it an actual job to do. Connect it to tools, let it retrieve information and build something that solves a real problem. 6. Make your own personal assistant This is a great project to bring everything together. Try building something that can help manage your tasks, organize information, summarize emails, search documents or automate things you do everyday. 7. Keep practicing prompting You'll get better at this with experience. Learn how to give clear instructions, provide context and get the output you actually need. Good prompting makes a big difference. 8. Find your niche Don't try to build automations for everyone. Pick an industry and start understanding its problems. Real estate, marketing agencies, e-commerce, recruitment, local businesses... there's plenty to explore. 9. Study successful SaaS products Look at software people are already paying for. What problem does it solve? Who uses it? What could be improved? You might find an opportunity to build a simpler version with AI automation. 10. Build 3–5 demos This is probably one of the most important steps. Build a few projects that solve actual problems. Something you can show people, put in your portfolio and potentially turn into a service or product. A few examples: ✔️AI lead qualification ✔️Customer support automation ✔️Document processing ✔️Appointment booking ✔️AI research assistant One piece of advice: don't get stuck in tutorial mode. You don't need to learn everything before you start building. Pick a project, start working on it, and learn whatever you need along the way. You'll run into problems, things won't work, and you'll probably have to rebuild parts of it. That's all part of the process. 📌 Save this if you're serious about getting into AI automation. You'll have a roadmap to come back to instead of jumping between random tools and tutorials. #AIAutomation #n8n #ClaudeAI #Ollama #Docker

Oxana Ray | AI for Business

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Tuesday 03 November 2026 16:15:31 GMT