When you're learning tools like n8n, it's easy to spend all your time building workflows and experimenting with different AI agents. But building the automation is only half the game. The real challenge is finding a business problem that people are actually willing to pay to solve. For example, instead of saying, "I build AI automations," imagine telling an agency: "I can automate your lead research, qualify potential clients, verify contact details, and organize everything in Google Sheets so your team spends less time on manual work." Same technical skills, but a much clearer business outcome. My biggest takeaway: Don't just build cool automations. Build solutions that save businesses time, reduce costs, or help them make more money. Curious to hear from everyone here: What's been harder for you so far — building the automation or finding someone willing to pay for it? 🚀