AI & Full-Stack Engineering

Smart AI Articles

An automated content generation pipeline that leverages LLMs to transform ideas into SEO-optimized, tone-responsive articles with async processing.

Live Demo Source Code

Role Solo Developer

Type AI Product Concept

Core Stack MERN + OpenAI + Redis

Status Live

The Problem

Accelerating the Content Loop

Manual content research and writing is a bottleneck for researchers and marketers. Existing AI tools often provide generic results without SEO context or brand-specific tone consistency. I built Smart AI Articles to automate this workflow, providing SEO-ready, high-fidelity drafts in seconds.

Full Ownership

Built End-to-End

As the solo engineer, I architected a system that separates LLM inference from the user experience. I implemented a robust background job queue to handle long-running AI generation tasks, ensuring the UI remains ultra-fast while articles are being "manufactured" in the background.

Smart Editor

Real-time tone adjustments and SEO scoring widgets.

Content Management

Async job tracking and multi-format export capabilities.

Challenges & Decisions

Engineering the Solution

Latency Management

Solved LLM timeout issues by implementing BullMQ and Redis to manage long-running AI generation jobs as background tasks with real-time progress updates.

Context Engineering

Designed structured prompting logic to ensure consistent output quality across different content types like blogs, emails, and LinkedIn posts.

The Stack

Categorized Technologies

Frontend

React 19 Vite Tailwind CSS Remix Icons

Backend & AI

Node.js Express OpenAI API Redis / BullMQ

Database

MongoDB Mongoose JWT Auth

Deployment

Vercel Render Git

The Outcome

Results & Impact

The platform enables users to generate SEO-optimized articles efficiently. By integrating real-time SEO scoring and tone controls, it serves as a powerful workbench for high-volume content creators and professional researchers.