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FastAPI, Uvicorn, Tailwind, OpenAI, and Next.js Stack (2026)
Why the FastAPI + Uvicorn + Tailwind + OpenAI + Next.js stack powers most indie AI apps in 2026. Architecture, trade-offs, and when not to use it.
Pranav S
May 199 min read


How to Build an AI Blog Post Writer with Next.js, FastAPI, LangChain, OpenAI, and Pinecone
Introduction You sit down to write another technical blog post. You know the keyword, you know the audience — but three hours later you have an outline, two half-finished sections, and the nagging feeling you already wrote something like this six months ago. Multiply that by ten posts a month and you have a real problem: high-quality SEO content is slow, repetitive, and mentally expensive to produce consistently. An AI blog post writer solves that bottleneck. Paste in a keywo

Pratibha
May 513 min read


How to Build an AI Social Media Manager with Next.js, FastAPI, LangChain, Pinecone, and OpenAI
Build a production-ready AI-powered Social Media Manager that generates platform-specific posts, captions, and hashtags from a single content brief. You will architect and implement a full-stack application using Next.js for the frontend, FastAPI for the backend, LangChain for AI orchestration, OpenAI as the language model provider, Pinecone as the vector store for brand context retrieval, and Tailwind CSS for styling. By the end of this course, you will have a fully deployed

Pratibha
May 511 min read


How to Build an AI Flashcard Generator with Python, FastAPI, Panel, and OpenAI
The AI Flashcard Generator solves this directly. You paste a block of study material, choose a topic and difficulty level, and the app returns a structured, navigable deck of flashcards — each with a question, a hint, and a reveal-on-click answer — in under ten seconds. It is built with Python, FastAPI, Panel, and OpenAI's structured outputs API.

Pratibha
May 513 min read


Adding Human in the Loop to your Chatbot using LangGraph | Beginner's Guide | Part 4
In this blog, we’ll enhance our LangGraph chatbot by adding Human-in-the-Loop (HITL) capabilities. Learn how to pause AI workflows for expert input using interrupt(), seamlessly blend human reasoning into your LLM responses, and build more reliable, production-ready chat agents — all on top of the memory-powered chatbot we built previously.

Pratibha
Jun 12, 20257 min read


Adding memory to your Chatbot using LangGraph | How to use MemorySaver | Beginner's Guide | Part 3
Want your chatbot to remember what you said earlier? In this beginner-friendly guide, we build on our previous LangGraph chatbot and add memory using MemorySaver. Learn how to persist conversation history, manage sessions using threads, and inspect state — step-by-step.

Pratibha
Jun 12, 20254 min read


Adding tools to your LangGraph Chatbots | Beginner's Guide | Part 2
Ready to give your chatbot superpowers? In this beginner-friendly guide, we’ll show you how to integrate external tools like web search into your LangGraph-powered chatbot. Learn what tools are, why they matter, and how to add them step-by-step — no prior AI experience needed!

Pratibha
Jun 11, 20255 min read
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