Content Rules, Inc.

The Triage Triangle and AI: solving complex content problems

Our customers often face complex content problems that hinder their efficiency, scalability, and customer satisfaction. These challenges cost the enterprise money, time, and risk.

How I’m Using AI to Write This Post  

Building Personalized Experiences at Scale: Lessons from the Semi-Custom Model

Looking Below the Surface: Key Capabilities to Support AI Solutions

From 15 weeks to 10 minutes: Novo Nordisk now drafts clinical study reports with AI. Posts like this are common these days! What we don’t hear enough about is the rigorous planning and testing that goes into creating a controlled, repeatable solution. There was a lot of groundwork by the

Be AI-Ready: Content Rules’ Top Resources to Prepare Your Content for AI Success

The main challenge most organizations must solve is how to incorporate proprietary enterprise content — your intellectual property — into AI solutions. General-purpose AI models don’t know your business content and your IT and security teams are working hard to keep it that way.

Seven Applications for AI in Your Content Ecosystem

Almost daily, I have conversations with content leaders struggling to solve complex challenges in their organizations. They’re trying to help employees find critical information scattered across multiple systems, scale content creation without ballooning costs, measure the business impact of their content investments, and ensure consistency across thousands of content assets.
Light bulb and question mark

Content Strategy and Taxonomy: Don’t Make Your Audience Play 20 Questions

I was recently playing 20 Questions with my good friend John when it occurred to me that it has a lot in common with taxonomy—and, by extension, a solid content strategy.
How to Improve AI Performance? Do This One Thing to Your Content | Laptop with Thought Bubbles | Content Rules

How to Improve AI Performance? Do This One Thing to Your Content

Recently, I have been doing a bunch of research on Retrieval Augmented Generation (RAG). RAG uses a combination of generative-based and retrieval-based artificial intelligence to produce results. Essentially, it combines what it finds with what it creates and gives you an answer to a query.
Is AI running out of content? People (illustrated) sitting on a laptop | Content Rules

Is AI Really Running Out of Content?

The main gist of the article is large AI companies including OpenAI, Google, and Meta are running out of training content for their AI engines. Before we talk about what they did next, let’s think about the implications of this.
The Secret to Success: Good Writing | illustrated woman looking at a monitor | Content Rules

The Secret to Success: Good Writing

Master effective writing best practices to enhance content quality across translations, structured content, and AI training.