[canvascritic]

SQL makes the most sense if humans are going to be programming deterministically, but if we're talking about natural language input I can't help but think that compiling natural language to SQL feels a little shortsighted as a long term strategy.

Surely it makes sense for a MVP, but I'm curious about how much we're potentially forfeiting in terms of innovation by anchoring so deeply to it with all the possibilities afforded by generative AI. In holding onto SQL, might we be forestalling the development or adoption of a more evolved language? With Dataherald's proposition, how do you envision maintaining that cutting edge, ensuring you're not just prolonging the lifespan of a fading tech, but genuinely pushing the envelope forward?

I suppose one intriguing possibility in my mind is that Dataherald could serve as a bridge or runtime. As you continue to develop and refine the tool, do you see a future where it might support more abstract querying languages or even emerging data interaction paradigms? This could potentially mitigate some transition pains when the tech ecosystem eventually shifts.

[saigal]

Do you mean that SQL will significantly fade away?