TypeSafe AI’s new Jev model returns structured decisions with confidence scores instead of text. Here is what is publicly claimed, what is unproven, and where it could sit in an e-commerce architecture.
2 min readCache-Augmented Generation skips retrieval entirely by preloading stable knowledge into the model’s context. For the right slice of an e-commerce stack, it is faster and simpler than RAG.
2 min readRetrieval-Augmented Generation is still the right tool for large, fast-moving knowledge. Here is where it earns its place in an e-commerce architecture, where it quietly fails, and where it should be switched off entirely.
10 min readA follow-up to architecting commerce for AI agents. Once an agent can reach your store, something has to decide what comes back — and the standard chunk-embed-search pipeline quietly breaks on every one of the four retrieval problems commerce actually has.
11 min readA practical architecture for e-commerce built for autonomous AI shopping agents — headless commerce, discoverability, the protocol layer, agent authentication, and the measurement blind spot most retailers haven’t solved yet.
9 min read
