How to build an AI-powered content moderation pipeline for user comments

Comment sections and user-submitted content are an attack surface. Spam bots, coordinated harassment, phishing links disguised as helpful replies - if you ship a public-facing form or discussion feature, you will encounter all of these within days. Rule-based filters (regex, keyword lists) have ~60-70% precision at best and generate constant maintenance overhead. An LLM-based classifier can handle nuanced toxic content, context-dependent spam, and subtle manipulation that keyword filters miss entirely.