Musubi Resources: Insights & Best Practices

We Tried to Detect Bots in 500 Comments. We Found a More Interesting Problem.

Can you tell which online comments were written by a bot? We scored 500 of them across eight dimensions and a library of 60+ AI-writing patterns. The answer changed what we think platforms should be optimizing for.
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What's Working for Trust & Safety Leaders Right Now

Senior T&S leaders share practical strategies for getting resources, using them wisely, and navigating constraints. Free playbook from Musubi's 2025 workshop.

How to Build Golden Datasets for Content Moderation

Learn how to build golden datasets for content moderation evaluation. Practical guidance on dataset size, composition, labeling, and measuring what matters for T&S teams.

How Feeld used AiMod to block scams faster

Dating app case study: How Feeld's moderation team makes 500x faster decisions with 89% fewer mistakes. Covers bot detection, automation, and human-in-the-loop systems.

LLM Content Moderation: Implementation Guide for Trust & Safety Teams

A practical guide to LLM content moderation for T&S teams: model selection, integration architecture, bias mitigation, golden datasets, and human oversight. Real deployment pitfalls and solutions from production systems.

How to use LLMs for Content Moderation

A practical guide to LLM content moderation from expert T&S practitioners. Learn prompt / policy engineering, model selection, and real-world strategies for 90%+ accuracy.

The Future of T&S is Better Collaboration

Most companies treat T&S like a cost center staffed by disposable contractors. Here's how to position T&S as strategic partners: building exec relationships, demonstrating ROI, and creating collaborative workflows with product/legal/ops. Includes implementation playbook.