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  The rise of generative AI is reshaping the SaaS landscape!  According to recent industry data, global AI software revenue is expected to reach $118.6 billion by 2025, up from just $9.5 billion in 2018. By that time, AI is predicted to be embedded into nearly every new software product and service, making it an essential ingredient for modern SaaS platforms. Many AI SaaS companies are already adapting to this shift. A survey by Tech Jury reveals that 35% of SaaS businesses have already implemented AI, and another 42% are planning for AI SaaS projects​ in the near future. This rapid adoption shows how crucial AI has become for staying competitive and delivering more value to customers. In this blog, we’ll take a closer look at the real impact of AI powered SaaS —covering key benefits, common challenges, and popular AI SaaS ideas that are helping businesses unlock new value. Let’s dive in! What is AI Saas? AI SaaS refers to cloud-based software platforms that combines the powe...

Ever asked ChatGPT to rewrite a tricky message, used Notion AI to summarize a doc, or let Reclaim auto-schedule your tasks? Then you've already felt the power of AI Assistants in action. AI assistants are built to quietly handle the routine tasks: drafting emails, summarizing docs, managing your calendar, or responding to routine messages. Therefore, you can focus on high-value works. That means spending more time on strategy, creative problem-solving, or connecting with your team, things that move projects forward.  The best part? You don’t have to settle for off-the-shelf tools. You can build your own AI assistant tailored to your role, your team, and your workflow. This guide will walk you through how AI assistants work, what they’re capable of, and how to build the right one for your workflow. What is an AI Assistant? An AI Assistant is a software system powered by artificial intelligence (often LLMs - large language models) that helps users complete tasks, answer questions, ...

Have you ever wondered why specific stories linger in your mind long after you've experienced them? Maybe it's a movie that moved you to tears, an ad that touched your heart, or even an app that seamlessly fits into your daily routine. The magic behind these memorable experiences isn’t just luck, it’s the power of Don Norman emotional design in action. As the renowned pioneer of emotional design in UX, Don Norman transformed how we see the relationship between humans and the products they use. His groundbreaking work, from The Design of Everyday Things to Emotional Design: Why We Love (or Hate) Everyday Things , emphasizes a simple yet powerful truth that great design goes beyond mere aesthetics or functionality; it connects deeply with human emotion. Research shows that 95% of purchasing decisions happen subconsciously, influenced more by emotion than rational thinking - making emotional design not only a creative choice but an essential strategy for impactful storytelling....

  AI personalized learning is transforming education, not by replacing teachers, but by helping every learner get exactly what they need. Instead of forcing every learner into the same mold, AI adapts content and pace to match each individual’s strengths, challenges, and goals Across all levels of education, these AI systems are already in use. In K–12 schools, AI supports adaptive learning programs that help students progress at their speed and help teachers identify who needs extra support. At the university level, undergraduates use AI tools to organize study materials, receive personalized content, and manage academic planning. For adult learners, AI enables self-paced, skill-focused courses that guide progress and recommend what to learn next based on individual goals. In this blog, we explore how AI is transforming education , the methods that make personalized learning possible, and the benefits and challenges of implementation. We also examine the future of AI in personaliz...

Traditional A/B testing is a method used to compare two versions of a digital experience, such as a landing page, headline, or call-to-action, to find out which one performs better.  However, traditional A/B testing often struggles in fast-moving digital environments. It depends heavily on human intuition, manual setup, and slow feedback cycles, making it hard to keep up with rapidly shifting user expectations. With the rise of AI-powered platforms, this process is undergoing significant evolution. Teams can now automate testing, personalize experiences in real time, and uncover deeper insights. Whether you're applying AI for UX design, conducting AI for UX research, or streamlining feedback with AI for user testing, intelligent experimentation helps you move faster and make better decisions. In this guide, we’ll unpack the concept of AI-driven A/B testing , explore its business benefits, and offer a step-by-step tutorial on how to integrate it into your workflow effectively. Whet...

You might find filters popping up everywhere — from flight booking websites to e-commerce apps, they’ve become a must-have feature in any search experience, helping users quickly cut through endless lists of options to find exactly what they need. Filters also play a crucial role in data-rich environments like SaaS dashboards, where users work with complex datasets daily. A well-designed dashboard filter UX helps users quickly surface the information they need, streamlining the data-driven decision-making process. However, designing a filter system that fits your product isn’t as simple as dropping in a few checkboxes. It takes thoughtful consideration of user needs, use cases, and product context to create a seamless, frustration-free experience. In this blog, we’ll dive into the world of Filter UX Design : Exploring why it matters, the common filter methods and UI UX patterns in SaaS products, and the best practices to build filters that truly work for your users. What is Filter UX ...