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AI Content Platform

A multilingual content platform that takes a piece from idea to publication. It drafts articles with AI, translates them into many languages with human review, runs each one through automated moderation and quality scoring, and ships it through a configurable editorial workflow, with analytics on what performs.

// Architecture

A Django 5 and Django REST Framework backend with a Next.js 15 front end, PostgreSQL, and Redis. Celery and Celery Beat run generation, translation, moderation, and scheduled publishing in the background. Content, AI, translation, moderation, workflow, and analytics are split into dedicated modules, with Sentry and Prometheus for monitoring.

// Key capabilities

Multi-provider AI generation

OpenAI, Anthropic, and Google models sit behind one service, with reusable prompt templates and per-request token and cost tracking, turning a topic into a finished draft.

Human-in-the-loop translation

AI, human, and hybrid translation share a translation memory and per-language quality ratings, keeping terminology consistent across markets.

Moderation and quality scoring

Keyword, regex, toxicity, and plagiarism checks, plus AI quality and SEO scoring, gate every article before it goes live, with a human review queue for edge cases.

Editorial workflow and analytics

Configurable multi-stage approval with a full audit trail, scheduled publishing, and per-article analytics with trend detection.

// Technology stack
DjangoNext.jsPostgreSQLRedisCeleryOpenAI
Private project. The source code isn't publicly available.
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