Musubi Resources: Insights & Best Practices

How to audit your fixed ML classifier

Four signs that a fixed ML Classifier might not be working for your Trust & Safety operations. What the symptoms are, how to diagnose, and what might work instead.

Building AI-Ready Trust & Safety Teams

Leadership pushing your T&S team to be AI-first? Practical guide to skills your team actually needs (prompt engineering, systems thinking, AI literacy) and how to build buy-in without engineers. From operators who've done this transition.

Musubi's PolicyAI Now Integrates with NVIDIA NeMo Guardrails

Musubi partners with NVIDIA to provide an integration between PolicyAi and NeMo Guardrails, allowing developers to use plain language to steer custom LLM content labeling and AI guardrails.

Introducing Agentic AI Detection

AI agents are changing the threat landscape for Trust & Safety. Musubi's agentic AI detection gives platforms the visibility they need to identify agent activity and decide what to do about it.

Not Sure Where to Start With Musubi? Here's an Honest Guide

Not sure which Musubi product fits your T&S stack? This guide breaks down PolicyAI, AiMod, Musubi Coop, and when to use them.

Diversity-First Sampling for Trust & Safety: Building and Benchmarking GIST

We built an open-source GIST implementation and benchmarked it on T&S datasets. GIST matched classifiers trained on 5x more data, helping teams do more with smaller labeling budgets.

Introducing Musubi Coop: Complete moderation for teams of any size

Musubi goes full stack. Get AI-powered moderation and human review tools together, whether you're a startup or scaling to millions of users.