🤖 AI Summary
After finishing a 4,000-word post, the author built a quick AI-powered summary feature using Vercel’s AI SDK and shipped a working MVP in under 30 minutes with roughly 50 lines of code. The SDK abstracted most of the model plumbing and let them focus on UX and a system prompt (which they iterated on to get HTML link lists formatted correctly). A friend asked for model choice support, so the author initially hard-coded an additional Anthropic model, then pivoted to Vercel’s AI Gateway to handle multi-model selection more cleanly.
Using the AI Gateway, the final implementation routes model requests by passing a model ID string to a lightweight registry, eliminating the need to manage separate provider keys. The gateway also provides built-in observability—usage and cost dashboards—which the author highlights as a major win for productionizing features. Tech highlights: Vercel AI SDK for core functionality, AI Gateway for routing/observability, LobeHub Icons for model logos, Tailwind CSS for UI polish. The result demonstrates how modern dev tooling can make multi-model apps simple to build, manage, and scale while keeping implementation compact and maintainable.
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