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AI agent onboarding: How to design the digital workplace for autonomous co-workers

AI agent onboarding is now a critical part of product design. This article breaks down what SaaS teams need to know to successfully onboard autonomous AI agents—from defining their role and permissions to designing agent-friendly interfaces and training them to enhance usability, not break it. Thoughtful onboarding improves adoption, reduces churn, and turns AI into a strategic asset—not a UX liability.

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The next 12 months of UX for autonomous AI systems: What happens when AI becomes your user

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.

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Designing systems for AI agents: What makes a good AX?

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.

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What is agentic AI? How to understand the rise of autonomous intelligence

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.

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Health tech product scalability: Strategies for growing your MVP into a scalable solution

Learn how thoughtful UX design and strategic planning can transform your MVP into a fully scalable health tech solution Health tech product scalability improves patient care, streamlines workflows, and offers innovative solutions to long-standing challenges. However, the path from a Minimum Viable Product (MVP) to a fully scaled solution is complex. Health tech products operate…

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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.