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Building AI Applications on the Web: How to Get Reliable Results With React, Next.js, and Vercel - Softcover
Synopsis
Your users ask for AI magic, but deadlines and budgets feel brutal. Machine learning tutorials overwhelm, filled with Python, servers, and expensive GPU advice. You already master React and Next.js, now leverage them to deliver intelligence. This book introduces JavaScript friendly tools that integrate AI without hidden complexity. Build chatbots, summarizers, and knowledge systems, all streaming responses in real time. Maintain full control over costs, latency, privacy, and the final user experience.
- Vercel AI SDK setup: Create fast, streaming conversations that feel natural on every device.
- LangChain.js pipelines: Chain retrieval, reasoning, and generation with clear, modular JavaScript functions.
- Context management patterns: Preserve chat history to deliver consistent, helpful, brand-aligned answers.
- RAG knowledge base: Provide cited responses from company documents, boosting trust and accuracy.
- Voice interview assistant: Transcribe speech, generate feedback, and improve preparation with immediate insights.
Build AI into Your Web Apps by Senior Staff Engineer Theo Despoudis, teaches proven AI integration techniques using only JavaScript, React, and Next.js.
Follow three complete projects: a ChatGPT-style bot, a document summarizer, and a RAG corporate assistant. Each chapter combines diagrams, runnable notebooks, and step-by-step code to turn theory into deployable features.
Finish able to evaluate AI services, tune latency and spend, and explain design choices to stakeholders. Your next release ships smarter, faster, and under budget.
Perfect for React and Next.js developers who want practical AI features without a data-science detour.
"synopsis" may belong to another edition of this title.
About the Author
Theo Despoudis is a Senior Staff Software Engineer known for launching AI-powered search experiences at scale. With years leading headless WordPress solutions on Next.js, Theo brings pragmatic clarity and production wisdom to every page. He distills JavaScript-first AI expertise into approachable patterns that help developers deliver reliable intelligent features quickly.
"About this title" may belong to another edition of this title.
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Building AI Applications on the Web
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Hardback. Condition: New. Your users ask for AI magic, but deadlines and budgets feel brutal. Machine learning tutorials overwhelm, filled with Python, servers, and expensive GPU advice. You already master React and Next.js, now leverage them to deliver intelligence. This book introduces JavaScript friendly tools that integrate AI without hidden complexity. Build chatbots, summarizers, and knowledge systems, all streaming responses in real time. Maintain full control over costs, latency, privacy, and the final user experience. Vercel AI SDK setup: Create fast, streaming conversations that feel natural on every device. LangChain.js pipelines: Chain retrieval, reasoning, and generation with clear, modular JavaScript functions. Context management patterns: Preserve chat history to deliver consistent, helpful, brand-aligned answers. RAG knowledge base: Provide cited responses from company documents, boosting trust and accuracy. Voice interview assistant: Transcribe speech, generate feedback, and improve preparation with immediate insights. Build AI into Your Web Apps by Senior Staff Engineer Theo Despoudis, teaches proven AI integration techniques using only JavaScript, React, and Next.js. Follow three complete projects: a ChatGPT-style bot, a document summarizer, and a RAG corporate assistant. Each chapter combines diagrams, runnable notebooks, and step-by-step code to turn theory into deployable features. Finish able to evaluate AI services, tune latency and spend, and explain design choices to stakeholders. Your next release ships smarter, faster, and under budget. Perfect for React and Next.js developers who want practical AI features without a data-science detour. Seller Inventory # LU-9781633436084
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