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.

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.

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.

Technical guide to LLM content moderation infrastructure: model selection, integration architecture, accuracy measurement, bias mitigation, team structure, and human oversight. Covers common deployment pitfalls and tested solutions from teams running production systems at scale.

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.

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.