Model-controlled processes vs agentic AI: What product leaders must know in 2025
Model-controlled vs agentic AI: what’s the real difference, and why does it matter for product success? Learn how product leaders can make smarter AI decisions in 2025.
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How AI in UX research is quietly transforming how teams work
AI isn’t replacing UX researchers—it’s making them faster, sharper, and more focused on what matters. In this article, we explore how AI in UX research is transforming workflows by speeding up transcription, synthesis, and insight discovery, without losing the human intuition that great research demands.
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AI agents in SaaS are rewriting the software playbook
AI agents in SaaS are quietly dismantling the monolithic software suite. From GitHub to IBM, enterprise software is shifting from feature-rich platforms to autonomous, outcome-driven agents. Here’s what product teams need to know now.
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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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AI-assisted design workflows: How UX teams move faster without sacrificing quality
AI-assisted design workflows help product teams iterate faster, explore more concepts, and focus on high-value work. This article breaks down what those workflows look like in practice—real tools, tradeoffs, and how to adopt AI without losing creativity or control.
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How to implement agentic AI in product teams: Why MCP is the first step
Product leaders don’t have to wait for full-blown AI agents to start transforming their workflows. With MCP, they can begin building intelligent, semi-autonomous systems right now. Here’s how to start.
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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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UX design for AI products: Why empathy is the missing ingredient
As AI takes a bigger role in decision-making, the missing piece in many products is empathy. This piece unpacks how UX design for AI products can either erode or earn user trust — and why empathy is the key to building better, more human-centered systems.
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The SaaS reckoning: UX strategies for SaaS product leaders navigating a changing model
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.
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AI for UX strategy is here: How smart teams are using it to win
What does it really mean to practice UX design with AI at the core? This article breaks down how AI for UX strategy is changing the game for product leaders, speeding up research, deepening insights, and driving smarter design decisions without losing sight of ethics or user trust.
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When AI becomes your project teammate: A new era for product teams
AI is quietly becoming your team’s most efficient project collaborator. But integrating it isn’t just about saving time—it’s about redefining how product teams manage context, collaboration, and complexity. This guide to AI project management for product teams lays out the tools, challenges, and cultural shifts shaping the next era of work.
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Rethinking the conversational AI design process: Start analog to end human
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.
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The great shift: How UX is evolving into agent-based experience design
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.
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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.
