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Advanced toxicity and risk scoring metrics to identify problematic users and recurring bad behavior automatically. In light theme.
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AI-driven suggested actions that empower moderators to approve, remove, or flag content with a single click, speeding up workflows.
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Save hours of reading: automated AI context summaries and confidence scores breaking down potential community risks. In light theme.
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A streamlined moderation queue that categorizes reported comments by violation type and severity for efficient review. In light theme.
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Red Guardian AI main dashboard—providing moderators with a unified, real-time overview of community health and critical risk metrics.
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Track community events in real time with a dedicated live feed of automated alerts and moderator history. In light theme
Inspiration
Reddit moderators handle a huge amount of spam, harassment, toxic discussions, fake reports, and risky users every day. While exploring moderation workflows, I realized that many moderation actions are still manual and time-consuming, especially for growing communities.
I wanted to build something that could act like an AI co-moderator — a tool that helps moderators quickly understand situations, prioritize risky reports, and reduce moderation workload through intelligent summaries and live monitoring.
That idea became Red Guardian AI.
What it does
Red Guardian AI is an AI-powered moderation assistant built for Reddit communities using Devvit.
The dashboard helps moderators:
- monitor risky activity
- prioritize moderation reports
- generate AI summaries
- view toxicity indicators
- receive live moderation alerts
- take moderation actions faster
The project simulates a real-time AI moderation environment where moderators can quickly understand what is happening inside a community without manually reading every report.
How I built it
The project was built using:
- Devvit
- React
- TypeScript
- Vite
- Hono
- OpenRouter API
- DeepSeek AI
The frontend dashboard was designed with a futuristic moderation-focused UI and interactive moderation panels.
AI summaries and moderation insights are generated using OpenRouter with DeepSeek models. The system dynamically updates moderation summaries, confidence levels, activity feeds, alerts, and risk indicators to create a realistic live moderation workflow.
Challenges I ran into
One of the biggest challenges was creating a dashboard that actually felt alive during demonstrations. A static moderation UI did not feel convincing enough, so I spent a lot of time improving interactions, live updates, activity feeds, moderation workflows, and UI polish.
Another challenge was integrating AI-generated moderation summaries while keeping the experience fast and smooth inside the Devvit environment.
Balancing performance, UI responsiveness, and realistic moderation simulations was also an important part of the project.
What I learned
During this project I learned:
- how Devvit apps are structured
- integrating AI APIs into moderation workflows
- designing interactive dashboard systems
- improving frontend UX for live tools
- handling AI-generated moderation analysis
- creating polished hackathon-ready products quickly
Future plans
Future versions could include:
- real Reddit moderation integration
- real subreddit report monitoring
- automatic AI enforcement actions
- moderator collaboration tools
- advanced moderation analytics
- smarter toxicity detection systems
The goal is to eventually turn Red Guardian AI into a real moderation productivity tool for Reddit communities.
Built With
- ai
- deepseek
- devvit
- hono
- node.js
- openrouter
- react
- typescript
- vite
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