
Multi-Agent LangGraph System
A robust, multi-agent AI system that automates the end-to-end process of content generation, SEO optimization, multi-lingual translation, and publishing.
Defining the core problem and identified pain points that necessitated this technical intervention.
Clients needed to scale their content marketing efforts across multiple languages and topics, but manual generation was slow, expensive, and inconsistent. There was no unified system to manage content creation, SEO, translation, and publishing, leading to fragmented workflows and high operational overhead.
The architectural and implementation strategy developed to resolve the challenge.
Users schedule content workflows via a FastAPI-powered UI using simple prompts ('generate 5 articles about tech') or by uploading a CSV of specific topics, with full support for pause, resume, and update operations.
A supervisor agent coordinates a team of specialized AI agents for content generation (with uniqueness checks), multi-lingual translation, and advanced SEO optimization including dynamic internal linking.
All generated content is held in a 'pending' queue for human review and approval before being published, ensuring quality control at every stage.
Approved content is published directly to WordPress via the WordPress API, completing the end-to-end automation pipeline with zero manual intervention.
My specific roles, responsibilities, and the technical value I added to the project lifecycle.
Architected and built the complete multi-agent system using LangGraph, including the supervisor, content generation, SEO optimization, and translation agents.
Developed the entire backend API with FastAPI, handling all logic for workflow scheduling, user authentication, and content management.
Designed the sophisticated auth system with JWT (access/refresh tokens), OTP verification, and role-based access control (admin/user).
Implemented the APScheduler logic to manage and execute recurring content generation jobs, including pause, resume, and update capabilities.
Engineered the human-in-the-loop workflow, allowing users to review, edit, and approve content before publishing.
Created the dynamic settings system, enabling users to override WordPress credentials, style settings, and category maps at both the user and per-job level.
Integrated with the WordPress API for seamless, automated publishing of approved content.
Eliminated manual content creation, SEO tuning, and translation steps — all handled by specialized agents.
Reduced time-to-publish from 3–4 days per article to under 10 minutes end-to-end.
Auto-translated and published content in 5+ languages from a single prompt with zero manual effort.
Enforced consistent brand voice, tone, and SEO schema across every generated article.
Eliminated approximately 40 hours of weekly copywriting and SEO work per client team.
Every article goes through a mandatory human review queue before live publishing — no rogue posts.