What actually moves the needle in AI automation projects?
I’m seeing a lot of people jump straight into tools and workflows, then get stuck or overwhelmed.
For those actually building AI automations, what helped you make real progress early on—not perfection, just momentum?
Curious what’s worked in practice 👇
  • Solving one real business problem end-to-end
  • Shipping a small, messy automation fast
  • Deep-diving into one tool (n8n, Make, etc.)
  • Studying examples before building
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Mohammed Abda
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What actually moves the needle in AI automation projects?
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