Prototypes became valuable as communication tools, but in the process, they often lost their original purpose as a way to truly test ideas. AI could help recover that purpose by making prototyping more realistic, more technical, and more useful for faster, better experimentation before production.
In this latest iteration, I updated the function of complementary chords to be more useful in the context performing and preparing the ground for a future App/VST release.
Reading Mockingbird by Walter Tevis recently sparked a reflection on how dangerous it can be to stop learning and thinking as we rely more and more on technology to run our lives.
Organizations which design systems are constrained to produce designs which are copies of the communication structures of these organizations. Nature already teach us good lesson about how things can work differently.
As I started working on a new idea that requires LLMs reading into the DOM, I see the need for better methods for scrapping that optimizes token consumption.
As we enter in a era where building products is more accessible, it also increases the need for better ways to use this new technology where fast learning and methodic planning can be a good process to follow.
A recent trip to Athens made me think about thinking and how important is to reflect on the things we do.
I recent bad experience with a coffee grinder made me think about the importance of observing while designing and as a critical step in the product development process.
Is it moral to use AI? Where do we cross the line? Some quick thoughts about a sustainable use of AI in a context of real risks we should be aware of.
Coming soon
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