Build AI-Enhanced Web Apps: How to get reliable results with React, Next.js, and Vercel by Theo Despoudis

Build AI-Enhanced Web Apps: How to get reliable results with React, Next.js, and Vercel by Theo Despoudis 

The core thesis of Build AI-Enhanced Web Apps is that integrating Large Language Models (LLMs) like GPT, Claude, Llama, or Gemini into production web applications is an engineering challenge, not an algorithmic one. While getting an AI response in a playground terminal is trivial, shipping it to thousands of concurrent users requires solving complex issues like streaming latency, state synchronization, token budget constraints, and model hallucinations. Despoudis establishes that the modern JavaScript ecosystem—anchored by Next.js server actions and the Vercel AI SDK—is perfectly positioned to handle these production requirements.

Rather than teaching abstract data science theories, Despoudis structures the book entirely around full-scale, real-world portfolio projects, including a voice-based interview assistant and a secure, corporate knowledge system. He walks readers through the end-to-end architecture of AI-enhanced systems, demonstrating how to handle real-time streaming, manage complex conversation histories, implement vector embeddings, and construct advanced pipelines using LangChain.js. Crucially, the text bridges the gap between raw AI capabilities and polished User Experience (UX), teaching developers how to design responsible guardrails for safety and cost management.

Our local software development ecosystem is experiencing an unprecedented surge, with engineering teams, tech agencies, and startups racing to add intelligence to their products. However, many developers feel stuck in an educational bottleneck—believing they must spend years mastering complex data science, calculus, and machine learning infrastructure before they can build actual AI products. This misconception results in brilliant engineers writing slow, unoptimized API wrappers that are insecure, expensive, and unable to scale beyond a handful of initial users.

Build AI-Enhanced Web Apps acts as a powerful, liberating catalyst for our community's developers and tech leads. Theo Despoudis’s immense expertise as a Senior Staff Engineer provides a reliable, industry-proven playbook for building software that scales. It shows local teams how to weaponize their existing JavaScript and React skills to build real, market-ready AI solutions—from intelligent customer support engines to voice-activated web services. It is an absolute must-read for any modern engineer ready to stop experimenting in web playgrounds and start shipping resilient, production-ready AI products that capture real market value.

Language: English.

Genre: Applied Artificial Intelligence.

Binding: সেলাই করা বাইন্ডিং

Quality: Premium Quality Books.

Printing: High Quality Printing.

Paper: Eye Friendly paper (Cream White)

Cover: Matt cover (Paperback).