AI Content Automation Platform

AutoBrief AI

A full-stack content automation platform transforming structured content sources into AI-assisted publishing.

01 / Type

AI Content Automation Platform

02 / Role

Full-stack Developer

03 / Stack

Next.js • React • TypeScript • Google Sheets API • Service Account Authentication • API Routes • AI Workflow

04 / Status

Production Demo

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01

Overview

A full-stack content automation platform transforming structured content sources into AI-assisted publishing.

02

The Problem

Manual repetition, formatting, and tracking across disconnected tools makes content operations slow and difficult to maintain consistently.

03

The Solution

Built an automated content pipeline with structured data processing and an AI enhancement layer that prepares content for a publishing-ready frontend.

04

Architecture

[ Content Sources ] │ ▼ [ Processing Pipeline ] │ ▼ [ Google Sheets Data Layer ] │ ▼ [ AI Enhancement Layer ] │ ▼ [ Next.js API Routes ] │ ▼ [ Frontend Experience ]
05

Engineering Decisions

Structured Sheets Data Layer

Used Google Sheets as a lightweight structured backend so content records remain easy to inspect and edit while the application handles presentation and processing.

Server-Side API Access

Kept Google API authentication and data access on the server, using service-account credentials rather than exposing them to the browser.

Separated AI Processing

Designed AI enrichment as a distinct processing stage so generated summaries, content, and SEO fields can be validated before reaching the publishing experience.

06

Challenges

Challenge 01

External API Authentication

Managed server-side authentication and token exchange for reliable communication with Google APIs.

Challenge 02

Data Consistency & Rate Limits

Added structured processing states and caching considerations to keep the application responsive while working with an external data source.

Challenge 03

AI Output Validation

Added validation around AI-generated fields so the application can work with structured content instead of treating model output as untrusted final data.

07

Future Improvements

  • Database migration to PostgreSQL
  • Dedicated admin dashboard
  • Advanced engagement analytics
  • More granular background processing and retry controls
08

Impact & Outcomes

  • 01Automated publishing workflow
  • 02Structured content pipeline
  • 03AI-assisted content processing
  • 04SEO-ready architecture