Engineering Case Study

PostPilot

AI Social Media Content Generator & Campaign Automation Platform

Interactive Visual Telemetry
PostPilot

Project Overview

PostPilot is an intelligent GenAI platform that empowers marketing teams to generate, schedule, and analyze platform-tailored social media campaigns from a single prompt.

The Problem & Motivation

Creating unique copy tailored for LinkedIn, Twitter, and Instagram requires hours of manual drafting, hashtag research, and calendar scheduling.

System Architecture Diagram

CLIENT UIReact & TypeScript
➔
NEXT.JS ROUTERNext.js Server Actions
➔
BACKEND SERVICEOpenAI GPT-4 API & Express
➔
DATABASE & CLOUDPostgreSQL & Prisma ORM

Key Engineering Features

01

Multi-Platform AI Prompt Engine

Translates 1-line ideas into network-specific posts.

Adjusts tone, length, and hashtag strategy for LinkedIn, Twitter, and TikTok automatically.

02

Interactive Campaign Calendar

Visual drag-and-drop posting scheduler.

Queue posts across multiple brand accounts with automated time-zone dispatching.

03

Predictive Engagement Analytics

AI-calculated viral potential score.

Analyzes readability, hook quality, and trending topic alignment to forecast reach before posting.

Full Technology Stack

Frontend
ReactNext.jsTailwind CSSLucide Icons
AI & ML
OpenAI APIGPT-4 VisionPrompt Chaining
Backend
Node.jsPrisma ORMExpress
Database
PostgreSQLSupabase
Deployment
VercelAWS SQS

Technical Challenges & Engineering Solutions

Streaming LLM Tokens to Client UI

Challenge: Waiting for full GPT-4 response generation caused long UI loading delays for users.

Solution: Implemented Server-Sent Events (SSE) streaming token chunks directly to client components for real-time typing visualization.

Measurable Results & Outcomes

80% FasterDrafting Efficiency30min → 5min
94/100Lighthouse ScoreOptimized bundle
2,500+Generated PostsActive usage

What I Learned

  • Mastered GenAI prompt engineering, system prompts, and structured JSON output parsing.
  • Built resilient asynchronous background job queues using AWS SQS for batch post dispatching.