Building AI products without a system design foundation is how you end up rewriting everything twice. This video walks through the architecture behind Pluto, a real AI product, covering the specific decisions made at each layer and the tradeoffs that came with them.
The value here is not the conclusion. It is the reasoning process: why certain components were chosen, what broke early, and how constraints shaped the final structure. Sponsored by Greptile, a code understanding tool, which is relevant context given the technical depth on display.
If you are shipping AI features and treating system design as optional, this is the corrective. Watch it for the decision log, not the finished product.
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