Customer Reviews AI Summary

Customer Reviews AI Summary is a Next.js demo template that feeds a set of customer reviews into a large language model and renders the generated summary alongside the original reviews in a demo UI.

What is Customer Reviews AI Summary?

Customer Reviews AI Summary is a Next.js demo template for e-commerce storefronts that takes a set of customer reviews as input, sends them to a large language model, and displays the resulting summary together with the underlying reviews in a demo interface. The stated benefit is that a shopper can grasp the overall sentiment of reviewers without reading every review. It is published as a Vercel template and a live deployment is hosted at review-summary.vercel.app.

What makes Customer Reviews AI Summary stand out?

• Next.js app — the template is listed in the Vercel template gallery under the Next.js category and deploys directly to Vercel.
• LLM review summarization — a set of customer reviews is passed to a language model, which returns a written summary of reviewer sentiment.
• Summary plus source reviews UI — the demo page shows both the generated summary and the reviews it was derived from, so the output can be compared against the input.
• Perplexity inference API — running the demo requires an API key for Perplexity's inference API, obtainable through Vercel's AI Marketplace integration.
• Swappable models via Vercel AI SDK — any other LLM can be connected with minimal changes to the file lib/ai-summary.ts, using Vercel's AI SDK.
• Local development with pnpm — the getting-started step is running the development server with the pnpm dev command.
• Live demo deployment — a deployed version is available at review-summary.vercel.app for previewing the flow before installing.

Who should use this template?

• E-commerce developers: prototyping a product page widget that shows shoppers an AI-written digest of reviews instead of a long, unread list.
• Next.js developers evaluating LLM integration: using the template as a starting point for wiring an inference API key and the Vercel AI SDK into a Next.js route or server action.
• Storefront teams testing model swaps: editing lib/ai-summary.ts to point the summarization step at a different model provider.

Use cases

• Storefront product pages: summarize a batch of reviews into a short sentiment overview that appears above the full review list.
• Model comparison: keep the same review input and swap the backing LLM to compare summary tone and quality.
• Internal demos: show stakeholders how an AI summary layer would look before committing to production work.

How does it work?

A set of customer reviews is sent to an LLM through an inference API key, and the model returns a summary of reviewer sentiment. The demo UI then renders that summary and the original reviews together. To run it locally, start the development server with pnpm dev after configuring the Perplexity API key.

FAQ

What does Customer Reviews AI Summary do?

It takes a set of customer reviews, sends them to a large language model, and displays the generated summary next to the original reviews in a demo interface, so a viewer can read one short overview instead of every individual review.

Do I need an API key to run it?

Yes. The demo requires an API key for Perplexity's inference API, which can be obtained through Vercel's AI Marketplace integration. Without a configured key the summarization step has no model to call.

Can I use a different LLM?

Yes. The template states that any other LLM can be connected through Vercel's AI SDK with minimal changes to lib/ai-summary.ts, so the summarization logic is not locked to Perplexity.

How do I run it locally?

Install the template on Vercel or clone the repository, provide a Perplexity inference API key, and run the development server with the pnpm dev command. A deployed version is also available at review-summary.vercel.app for previewing first.