AI robots and business people interacting together in a productive process, artificial intelligence and smart industry concept for AI-driven UX patterns

AI-driven UX patterns vs. traditional UX

When you’re building an AI application, you need the right tools for the job. Just a construction team needs different materials and tools for building a skyscraper than they would for a house, an AI application needs UX patterns that meet its needs. While traditional UX focuses on predictable and linear interactions, AI-driven UX introduces a layer of complexity and adaptability that demands a fresh approach.

Virtual communication illustration for article on user engagement in B2B SaaS

5 do’s and don’ts for user engagement in B2B SaaS products

Draw on social network engagement principles to drive retention in your SaaS product User engagement in B2B SaaS is one of the strongest indicators of product success. Much like social media platforms rely on consistent, valuable interactions, B2B SaaS platforms thrive when engagement strategies are designed with user needs, accessibility, and personalization in mind.  Think…

Robotic hand on a crosswalk. Vector illustration.

Retrieval Augmented Generation (RAG): What it is and how B2B companies can use it

While many companies have dabbled in generative AI to create content or assist customers, there’s a growing challenge: accuracy. What if the AI provides convincing but incorrect information? Enter Retrieval Augmented Generation (RAG) — an approach that ensures your AI not only generates useful content but also backs it up with real, verified information.