UX design is entering a new era: one where AI agents — not humans — are the users. This article explores what product teams need to know to design systems that support autonomous AI agents, from API clarity and structured data to explainability and agent-aware UX tooling. The next 12 months will define how well we adapt.
Designing systems for AI agents—your new digital colleagues—requires more than APIs and data. It demands a new kind of user experience thinking: Agent-Based Experience (AX). In this article, we explore the pillars of AX, from structured data and explainability to agent onboarding and recovery loops, helping teams future-proof their products and create seamless human–agent collaboration.
SaaS is evolving — from subscription-only to usage-based, modular, and AI-native models. Product leaders must rethink UX as a business strategy, not just an interface layer. This article offers key UX strategies to help SaaS companies reduce churn, build trust, and thrive in an era of rapid transformation.
Great conversational AI doesn’t start with tools — it starts with conversation. This article explores how analog-first methods like intent cards, role-playing, and storyboarding create more natural, human-centered AI experiences that are easier to implement and more enjoyable for users.
UX is no longer just for users — it’s for the AI agents acting on their behalf. This article explores agent-based experience design (AX): what it is, why it matters, and how designers and product leaders can prepare for a future shaped by autonomous agents.
Agentic AI refers to intelligent systems that operate independently, make decisions, and adapt in real time without constant human oversight. Unlike traditional AI that reacts to prompts, agentic AI sets its own goals and carries them out—making it a transformative force for industries like cybersecurity, software development, and operations.
A deep understanding of your brand is essential for creating authentic connections with your audience. This article explores the significance of brand awareness and provides actionable steps to define and communicate your brand effectively.
Personalization, trust, and adaptability: Key challenges for AI usability As AI-powered systems become increasingly central to our digital experiences, the way we approach usability testing needs to evolve. AI interfaces are dynamic, adapting and learning from user interactions, which means traditional testing methods often fall short. To create products that users trust and enjoy, we…
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.
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.
Beyond 2025, we’re likely to see emerging AI trends for SaaS push well beyond today’s capabilities. This means product leaders can expect AI to reshape SaaS products in ways that go far beyond predictive analytics or customer support automation.
The steps to add AI features follow a similar, but slightly different core process I’m going to start this article on how to implement AI in SaaS products with an unexpected example. Do you remember Tickle Me Elmo? In 1996, the “Tickle Me Elmo” doll was the hottest toy of the season. It was so…
Give users a reason to be excited about AI in your product We are in an age I like to call the “Great AI Race.” Leaders are looking for ways to quickly leverage AI and add it to their products and not lose this race. Evidence of the AI race is all around us. AI…
Because it is important for creating a positive customer experience, we much consider how to adapt information architecture for AI.
AI bias can perpetuate stereotypes and misinformation if companies don’t take steps to fix the issue Are you implementing AI into your workflows like we are? Chances are pretty high if you’re a B2B company or in anything tech. AI seems to be in every headline in 2023 ever since the deployment of Chat-GPT 3…
Standard Beagle is an AI UX agency based in Austin, TX. We help B2B SaaS and health tech companies create better product experiences with smart strategy, user-first research, and ethical AI workflows.
Shape the future of SaaS: Discover 2025’s top UX trends
