NEXUS Moderation Intelligence

AI-assisted moderation that detects escalating harmful behavior early and helps moderators make consistent, explainable enforcement decisions.

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Elevator Pitch: NEXUS reduces moderator burnout by proactively surfacing users exhibiting risky behavior over time, prioritizing cases with explainable evidence and confidence scores while keeping human moderators entirely in control.

Inspiration Reddit communities depend on human moderation, but volunteer moderators are overwhelmed by volume, coordinated manipulation, and reactive tools that rely on opaque auto-bans. We built NEXUS to act as a transparent, enterprise-grade co-pilot that protects community health and significantly reduces moderator fatigue.

What it does NEXUS tracks longitudinal behavioral drift rather than just isolated flags. It surfaces anomalous users into a prioritized case queue and provides moderators with an explainable synthesis of why each case was flagged, backed by a confidence score.

Moderators retain absolute control—the AI only synthesizes data and suggests actions. With a single click, a moderator can issue a warning, generate a secure ModMail audit report, or execute a ban. The expected benefits: faster detection of coordinated/serial offenders, fewer missed escalation patterns, and highly consistent enforcement decisions that drastically reduce the time spent investigating each incident.

How we built it Frontend: A highly compact, native-feeling dashboard built completely within the Reddit UI using the Devvit platform and TypeScript.

Backend Architecture: A modular detection suite designed around three core engines:

Behavioral Decay Scoring: Calculates risk accumulation over time, applying mathematical decay to old offenses to catch gradual abusers.

Toxicity Analyzer: Combines model outputs and weighted heuristics for transparent explainability.

Spam Detection: Tuned specifically for rapid-fire posting and coordination patterns.

(Note: To ensure judges experience a flawless, instant UI during the playtest and video demo, the frontend is currently running on a stable simulated data state. However, the full detection engines and architectural source code are included in the repository for review).

Challenges we ran into Building a highly dense, data-rich dashboard within the strict visual and component constraints of the Devvit platform was a major challenge. We had to heavily optimize our layout (using precise hstack and vstack framing) to ensure the UI didn't clip or overflow. Additionally, figuring out how to present complex AI reasoning in a way that is instantly readable for a busy moderator without overwhelming them with text required multiple design iterations.

Accomplishments that we're proud of We are incredibly proud of the UI/UX. We successfully built a tool that looks and feels like a premium, enterprise-tier operating system natively embedded inside Reddit. We are also deeply proud of the "Explainable AI" approach—moving away from the standard "black-box" moderation bots and instead creating a system that builds trust by showing its work and leaving the final trigger to a human.

What we learned We gained a deep understanding of Devvit's custom hooks, state management, and component lifecycles. Beyond the technical, we learned a lot about the psychology of community moderation—specifically, how reducing the cognitive load of investigating a user can completely change a moderator's workflow for the better.

What's next for NEXUS Moderation Intelligence The immediate next step is wiring the frontend dashboard to our live backend engines to process real-time subreddit firehoses. From there, we plan to implement Community-Specific Tuning (allowing subreddits to adjust the sensitivity of the AI based on their unique culture) and an automated, transparent appeals workflow for users who feel they were incorrectly flagged.

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