The MCP section was particuarly helpful. We've been struggling with how to standarize tool integrations across diferent LLM providers and this gives a clearer picture. The payments example ilustrates how these pieces actually connect in a real system rather than just theory.
Hey, great read as always. You really nail the fundamental shift required in thinking about LLMs as a probabilistic component rather than a deterministic service, which is a crucial architectural insight. While the isolation of these models is clearly essential, I find myself thinking about how we design user experiences that truly embrace and effectively manage the inherent unpredictability of such probabilistic ouputs.
The MCP section was particuarly helpful. We've been struggling with how to standarize tool integrations across diferent LLM providers and this gives a clearer picture. The payments example ilustrates how these pieces actually connect in a real system rather than just theory.
Thanks a lot, really happy to hear that.
MCP can feel confusing at first, and that example came from a reals situation where we were trying to untangle the same thing.
If you discover anything interesting while working on your integration, I’d genuinely love to hear about it.
Hey, great read as always. You really nail the fundamental shift required in thinking about LLMs as a probabilistic component rather than a deterministic service, which is a crucial architectural insight. While the isolation of these models is clearly essential, I find myself thinking about how we design user experiences that truly embrace and effectively manage the inherent unpredictability of such probabilistic ouputs.