Hey friends! I want to share an important lesson I’ve picked up on my AI journey, and I hope it resonates with some of you.
If you’re eager to dive into real-world AI applications, here’s a pro tip: blend coding skills with no-code tools.
For example, shoutout to @Dave, who's doing an amazing job in this community teaching people to build AI projects with Python—huge respect for that! 🙌
But let me share something from my experience: a lot of clients don’t need a full-blown Python-based solution. Often, they’re just looking for a quick, simple automation or a chatbot. And guess what? Tools like Make.com, Flowise, and Relevance AI can help you deliver exactly that—fast and efficiently. Why spend days coding when you can create the same solution in a fraction of the time with no-code tools? It’s not just about saving your time—it’s also about saving your clients’ money and earning their trust. You’ll still make a solid income, but the lower cost and faster turnaround can make it easier for clients to say yes.
Of course, when a project is too complex for no-code tools, that’s when you bring out the big guns—code-based solutions. And yes, you can (and should) charge more for those.
The key is knowing when to use which approach. It’s all about finding the sweet spot between efficiency, profitability, and client satisfaction.
What’s been your experience? Do you combine coding with no-code tools, or stick to one approach? Let’s discuss! 🚀