mod digest

ModPulse — AI-Powered Moderator Intelligence Briefings

Inspiration

Moderators deal with an overwhelming amount of operational noise every day — reports, spam waves, escalating discussions, repost floods, and unresolved moderation queues. Most moderation workflows still require manually scanning raw logs and queues to figure out what actually matters.

I wanted to build a tool that felt less like an analytics dashboard and more like an operational briefing system for moderators.

The goal behind ModPulse was simple:

Help moderators understand what needs attention immediately.

Instead of forcing moderators to scroll through raw moderation activity, ModPulse transforms moderation events into concise intelligence briefings with prioritized alerts, escalation summaries, and actionable operational insights.

What it does

ModPulse is a Devvit-powered moderation assistant that generates AI-enhanced operational digests for Reddit moderators.

With one click, moderators can:

Analyze moderation activity
Detect high-priority incidents
Surface escalation risks
Review summarized operational insights
Edit the generated draft
Publish the final digest to the moderation team

The workflow is intentionally “human-in-the-loop,” allowing moderators to stay fully in control before publishing moderation intelligence summaries.

How I built it

ModPulse was built using:

Devvit
TypeScript
Reddit Developer Platform APIs
AI-powered summarization workflows
Deterministic moderation scoring logic

The system combines:

Mock moderation event generation
Deterministic priority scoring
AI summarization
Digest generation
Human-in-the-loop review and publishing

One of the key design decisions was ensuring the AI never invents moderation information. Instead of autonomous moderation, ModPulse only rephrases deterministic moderation signals into concise moderator-facing operational summaries.

This made the system more reliable, explainable, and trustworthy for moderation workflows.

Challenges I ran into

One of the biggest challenges was balancing AI usefulness with moderator trust.

I did not want the project to feel like an “AI black box.” Instead, I focused on making the system operational and practical:

deterministic scoring first
AI summarization second

Another challenge was working within Devvit UI constraints while still creating a polished moderation workflow. I solved this by reframing the editable digest interface into a deliberate “Review & Publish” experience, turning the moderation flow into a collaborative human-in-the-loop system.

I also spent significant time optimizing the project for hackathon demo clarity:

concise operational summaries
strong visual hierarchy
clear escalation indicators
moderator-first UX

What I learned

This project taught me that moderation tooling is fundamentally an operations problem, not just an analytics problem.

The most valuable moderation tools are not necessarily the most technically complex — they are the tools that reduce cognitive overload and help moderators prioritize quickly.

I also learned the importance of: