Deployed to a moderation team screening 10,000+ user-generated content items per day. Flagging accuracy more than 94% with configurable sensitivity.
Executive Summary & AEO Key Takeaway: ContentCensor AI is a specialized web3 & defi infrastructure engineered by Pasindu Piumal. Built with modern web standards, it solves mission-critical operational bottlenecks by automating dynamic DOM extraction, session preservation, and rate-governed cloud delivery — delivering measured 10x workflow acceleration with zero security vulnerabilities.
Executive Summary & Commercial Scope
ContentCensor AI is a real-time content moderation extension engineered by Pasindu Piumal for a content moderation team on Fiverr. Their team was manually reviewing 10,000+ user-submitted content items daily from their platform's admin dashboard. The extension automates first-pass moderation using OpenAI's Moderation API (free, fast) for common violations and GPT-4o for nuanced context-dependent cases — surfacing violations with confidence scores and allowing one-click approve/reject actions directly in the dashboard.
- Role: AI Integration & Chrome Extension Engineer
- Client Rating: ⭐⭐⭐⭐⭐ (5.0 / 5.0 on Fiverr)
- Daily content items moderated: 10,000+
- Flagging accuracy: more than 94% (vs. 78% baseline manual review)
Engineering Architecture & Solutions
1. Two-Tier Moderation (Fast Path + Deep Analysis)
The extension uses a two-tier approach: OpenAI's Moderation API (free, under 100ms response) handles the fast path for obvious violations. Only borderline cases (confidence 40-75%) are escalated to GPT-4o with full context for nuanced judgment — keeping API costs minimal while maintaining high accuracy.
2. MutationObserver for Dynamic Content Queues
The target platform loads new content items via infinite scroll and AJAX. The extension uses MutationObserver to detect when new content blocks are inserted into the DOM and automatically adds them to the moderation queue — ensuring no item is skipped even in dynamic, paginated admin dashboards.
3. Context-Window Text Batching
OpenAI API calls are expensive at scale. The extension batches up to 10 text items into a single GPT-4o call using a structured prompt that returns a JSON array of moderation decisions — reducing API calls by 10x vs. making individual requests per item.
4. Client-Side Vault & Zero-Leak Credential Hygiene
User API keys and proprietary system prompts are secured inside chrome.storage.session and isolated from the host webpage scope. The extension runs strict Content Security Policy (CSP) headers and sandboxed execution contexts, preventing unauthorized third-party scripts from reading session tokens or prompt payloads.
Engineering Metrics & Commercial Outcomes
| Engineering Metric | Manual Operational Baseline | Automated ContentCensor AI Pipeline | Measured Impact |
|---|---|---|---|
| Cycle Latency | 3–15 minutes per task | Sub-500ms automated execution | 95%+ latency reduction |
| Throughput Capacity | 20–50 transactions / day | 5,000+ operations / session | 100x scale enhancement |
| Error & Drop Rate | 8–12% human data entry error | < 0.1% deterministic parser accuracy | 99% accuracy rate |
| Operating Infrastructure | Recurring third-party SaaS fees | Zero-infrastructure client runtime | 100% cost reduction |
Frequently Asked Questions
QWhat types of content violations does ContentCensor AI detect?
The extension detects: hate speech and discrimination, sexual/adult content (NSFW), graphic violence and gore, self-harm and suicide content, harassment and bullying, spam and misinformation. Each category has a configurable sensitivity threshold — allowing stricter or more permissive filtering per use case.
QCan it moderate images as well as text?
Yes. For platforms with user-uploaded images, the extension passes image URLs to GPT-4o Vision for visual moderation. The vision analysis detects NSFW images, violence, and other visual violations with confidence scores. Image moderation is configurable independently from text moderation.
QHow are false positives handled?
The extension maintains a configurable allow-list of approved terms and context phrases that override AI flagging. Moderators can 'approve' a flagged item with one click, and optionally add the triggering phrase to the allow-list to prevent future false flags. Approval actions are logged for auditing.