OSMO

An AI-driven marketing automation suite designed to centralize and streamline online marketing workflows across social networks, search engines, and direct outreach.

AI MARKETING AUTOMATIONCase Study
AI INTEGRATIONMICROSERVICESMARKETING TECH

Technologies Used

Next.js 16React 19Node.jsPython (FastAPI)PostgreSQLMongoDBRedisAzure AI

Technical Architecture & Design Document

1. Overall Project Details

Project OSMO is a comprehensive, AI-driven marketing automation suite designed to centralize and streamline online marketing workflows. It acts as an all-in-one system for content creation, scheduling, outreach, SEO optimization, and paid advertising management. By unifying multiple fragmented marketing operations into a single platform, OSMO aims to simplify the complexities of digital marketing, enabling automated campaigns across major social networks (LinkedIn, Instagram, Facebook, X), search engines, and direct outreach channels.

2. Target Audience

The primary users of Project OSMO include:

  • Business Owners & Founders: Looking to scale their online presence and lead generation without needing to hire extensive marketing teams.
  • Marketing Professionals & Agencies: Seeking a centralized dashboard to manage multiple client accounts, automate repetitive tasks, and utilize AI for content and ad generation.
  • Content Creators & SEO Specialists: Needing streamlined workflows for blogging, backlink tracking, and social media scheduling.

3. User Experience & Workflow

The platform is designed around a "Single Pane of Glass" philosophy, where users can navigate between specialized engines while maintaining a consistent AI-assisted workflow.

User Journey Flowchart

Interactive Technical Blueprint

4. Technical Architecture Flow

Project OSMO's architecture is built on modern microservices principles, ensuring scalability and independent service management. The following diagram illustrates how the frontend interacts with our modular backend services.

System Architecture

Interactive Technical Blueprint

5. Developer Role & Implementation Focus

The development of Project OSMO focuses on high-performance infrastructure and seamless AI integration. Core implementation areas include:

  • Scalable Frontend: Building a highly responsive, server-side rendered user interface using Next.js 16 and React 19.
  • AI Integration Engine: Orchestrating Azure AI (GPT-4o) and Runware for real-time content and media creation.
  • Asynchronous Processing: Implementing reliable task queues via Redis to handle scheduling and outreach without latency.
  • State Synchronization: Leveraging React Query for server-state management to keep the dashboard updated in real-time.

6. Technology Stack & Tools Used

Frontend Environment:

  • Core: Next.js 16, React 19, TypeScript
  • Styling: Tailwind CSS v4, Framer Motion
  • State: React Query, Redux
  • UI Components: FullCalendar, Tiptap, ApexCharts

Backend Infrastructure:

  • Runtime: Node.js (Express), Python (FastAPI)
  • Real-time: Socket.io (WebSockets)
  • Databases: PostgreSQL (Relational), MongoDB (NoSQL), Redis (Caching/Queues)

AI & External Integrations:

  • AI: Azure AI (GPT-4o), Runware (Media)
  • Platforms: LinkedIn, Meta (FB/IG), Google Ads, X (Twitter)
  • Platforms: LinkedIn, Meta (FB/IG), Google Ads, X (Twitter)
  • Payments: Stripe, Razorpay

7. Communication Structure (REST & WebSockets)

The platform ensures a responsive experience by combining traditional RESTful patterns for data persistence with WebSockets for long-running AI tasks.

Communication & Task Execution Flow

Interactive Technical Blueprint