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What if building AI tools was as simple as stacking Lego blocks? 🧱
Creating smarter AI tools often feels complex and time-consuming. What if there were an easier way to build and automate them effortlessly? 🧩
AISmartCube lets you do just that. With a low-code platform, you can design AI tools and assistants like you’re playing with Lego. Access a rich library of ready-made solutions, streamline workflows, and integrate public knowledge bases—all without breaking a sweat.
Here’s what to think about:
🛠️ How can low-code platforms simplify AI innovation?
📚 What’s the potential of smarter tools powered by public knowledge bases?
🚀 How will AISmartCube redefine how we create and automate AI solutions?
We’d love to hear your thoughts!
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Joshua Daniel Scott
No-code/low-code AI tools are great for quickly prototyping and validating ideas. But for production-grade scalability, custom development is often necessary. Maybe a hybrid approach could work - use no-code for the 80% that's straightforward, then custom code the complex 20%? Curious to hear others' experiences striking this balance.
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If you are talking about No-code / Low-code tools, they are great for prototyping but after a certain point, they are not scalable.
So one should definitely use it to create an MVP share it with a limited set of people but once you start seeing traction, you should start building it from zero.
tldr;
Its easy to go from 0 → 70% using No-code / Low-code tools. But 71% → 100% is very painful because of the limitations of the tool used.
As someone who’s always fascinated by the idea of creating AI tools but gets overwhelmed with the complexity of coding, this feels like a game-changer. The “Lego block” analogy really resonated with me—it’s such a clever way to describe the modular design.
