UX for AI

Send us a text What if vibe coding actually felt good?  In this episode, we break down the vibe coding workflow: a mindset that centers creative energy and flow over complexity and rigid setups. If you’ve ever felt stuck, overwhelmed, or like your tools are in control, this one’s for you. Interested in joining the podcast? DM Behrad on LinkedIn:https://www.linkedin.com/in/behradmirafshar/This podcast is made by Bonanza Studios, Germany’s Premier Digital Design Studio:https://www.bonanza-studios.com/

Send us a textIn this insightful episode, Behrad engages with entrepreneur John Rush, a visionary who's revolutionizing the SEO and UX landscape. The conversation centers on Rush's innovative approach to making sophisticated SEO tools accessible to small businesses at a fraction of traditional agency costs.Rush shares his journey of creating SEO Bot, an AI-powered tool that performs SEO tasks for only $100 per month, compared to traditional agencies charging $3,000+ monthly. This stark price difference reveals an industry truth: many expensive "human-led" SEO services are already heavily AI-driven, but without the transparency Rush advocates for.The discussion highlights Rush's philosophy on democratizing startup opportunities. His mission extends beyond mere tool creation—he aims to level the playing field for local businesses competing against franchises, schools against large institutions, and entrepreneurs outside traditional tech hubs. By making enterprise-level SEO accessible for "pocket money," Rush envisions a future where innovation isn't limited to Silicon Valley elites.A significant portion of the conversation explores Rush's exceptional approach to UX design. With a master's degree in UX, Rush explains how his design philosophy for SEO Bot creates an interface so intuitive that even non-technical users like "a 50-year-old flower shop owner" can successfully implement SEO strategies. Rush believes remarkable UX design serves as its own marketing—products that surprise and delight users generate organic sharing and discussion.The podcast also reveals Rush's ambitious roadmap for SEO Bot, which includes expanding capabilities to build tools and directories automatically, optimize existing web pages, and function as a complete SEO department. A parallel tool called PR Agent will handle external content distribution across social media and blogs, helping businesses appear in LLM-based searches like those from Grok and other AI search engines.Rush offers valuable insights about Google's evolving approach to AI-generated content, explaining that Google doesn't penalize AI content per se, but rather low-value content regardless of its source. He describes how Google now relies heavily on user behavior signals to determine content quality, giving all content—human or AI-created—a chance to prove its value.Throughout the conversation, Rush emerges as both a technical innovator and a philosophical thinker about technology's role in society. His vision goes beyond profit to encompass "a more even distribution of wealth" through democratized access to powerful marketing tools.For listeners interested in AI, SEO, entrepreneurship, or UX design, this episode provides concrete examples of how AI tools can empower small businesses when combined with thoughtful, human-centered design. Rush's SEO Bot exemplifies a new generation of AI tools that don't just automate tasks but make previously exclusive professional services accessible to entirely new segments of society.You can find John Rush here: https://www.linkedin.com/in/johnrushx/Interested in joining the podcast? DM Behrad on LinkedIn:https://www.linkedin.com/in/behradmirafshar/This podcast is made by Bonanza Studios, Germany’s Premier Digital Design Studio:https://www.bonanza-studios.com/

Send us a textIn this groundbreaking episode of UX for AI, Adam, a veteran UX designer and entrepreneur with over 15 years of experience, shares his journey of leveraging AI to transition from traditional design workflows to building a full-scale LinkedIn competitor—entirely on his own. The discussion dives deep into the seismic shifts happening in the UX/UI landscape as AI tools like Cursor, Claude, and Builder.IO empower designers to take on development roles, blurring the lines between design and engineering.Adam begins by outlining his ambitious B150 project: a professional social network combining the best of LinkedIn and Reddit, built almost entirely with AI-assisted coding. He reveals how AI has enabled him to overcome technical barriers, allowing him to prototype, iterate, and even pivot rapidly—something that would have required a full engineering team just a year ago. Key to his workflow is the integration of design tools like Figma with AI-powered development environments, where plugins like Builder.IO translate designs directly into React code, while tools like Neon DB handle backend infrastructure seamlessly.The conversation explores critical lessons for designers navigating this new paradigm:The Rise of the "Multi-Tool Designer": Adam argues that UX professionals must now embrace coding (or "vibe coding" with AI) to stay relevant, as companies increasingly consolidate roles. He shares how his hybrid skills in design, product strategy, and AI-aided development have let him operate as a "team of one."AI-Driven Workflows: From generating database schemas with ChatGPT to styling components using Tailwind and Radix, Adam breaks down his stack and demonstrates how AI accelerates tasks like authentication (NextAuth), component libraries, and even dark-mode implementations.The Pitfalls and Power of AI: While AI tools like Cursor (his preferred alternative to GitHub Copilot) dramatically speed up development, Adam emphasizes that foundational UX thinking—user flows, accessibility, and design systems—still requires human oversight. He recounts rebuilding his entire app from scratch after a hardware failure, stressing the importance of Git hygiene.Host Behrad and the audience probe Adam on the future of UX careers, with questions like: Should new designers learn to code? How is AI reshaping job expectations? Adam’s answer is optimistic but pragmatic: UX is evolving, not disappearing. Designers who augment their craft with AI and development skills will thrive as "CEOs of the future," capable of owning products end-to-end.Packed with actionable insights—from Figma-to-code plugins to database best practices—this episode is a masterclass for designers ready to harness AI and redefine their role in the tech ecosystem. Whether you’re a seasoned pro or a newcomer, Adam’s story proves that with curiosity and the right tools, the gap between design and development has never been smaller.Interested in joining the podcast? DM Behrad on LinkedIn:https://www.linkedin.com/in/behradmirafshar/This podcast is made by Bonanza Studios, Germany’s Premier Digital Design Studio:https://www.bonanza-studios.com/

Send us a textIn this insightful episode, a seasoned developer shares their hands-on experience comparing various AI-powered web development tools to determine which solutions work best for different project requirements. After spending a month "in the trenches" testing these platforms, they provide a practical breakdown of the strengths and limitations of popular tools like Bolt, Lovable, and custom coding environments.The episode begins with the speaker acknowledging the overwhelming number of AI web development tools flooding LinkedIn feeds, causing confusion for many who aren't sure which solution best suits their needs. Working at a production studio that needs to regularly test new applications, they've created a comprehensive comparison to help others navigate this rapidly evolving landscape.At the heart of the discussion is a real-world test case: recreating Booking.com's homepage. The speaker demonstrates how they rebuilt the site with different approaches, comparing the results side-by-side. They distinguish between "one-shot effect" platforms like Bolt and Lovable, which produce impressive initial results quickly but become difficult to refine, versus a more traditional programming environment that offers greater control despite requiring more setup time.Using visual examples, the speaker shows how Bolt produced better one-shot results than Lovable (though they acknowledge this might be due to using Bolt's paid version versus Lovable's free tier). The comparison extends to creating an Airbnb-style listing page, where the differences in layout refinement capabilities become evident. While Bolt created a functional page in just ten minutes, the custom solution took three hours but provided significantly more control over nuances and styling details.The speaker's preferred custom setup includes Windsurf (similar to Cursor), Claude 3.7, and libraries like Three.js—providing a senior programmer's environment with complete control. They emphasize the importance of version control through GitHub for larger projects and the freedom to change libraries and add APIs as needed.A key insight from the episode is the changing role of designers in this AI-powered landscape. Rather than creating mockups in Figma, designers are becoming "curators" who find exemplary references and iterate rapidly, prioritizing time-to-market over pixel perfection.The speaker concludes with an impressive demonstration of building a custom video compression tool in just ten minutes, reinforcing their philosophy that mastering these development environments enables continuous creation and problem-solving without relying on pre-built solutions.The episode offers practical advice for viewers: use Bolt or Lovable for quick projects where you can accept their limitations, but invest in learning custom environments like Cursor or Windsurf for longer-term projects requiring fine-tuned control. The speaker encourages viewers to embrace these tools now, noting that despite the learning curve requiring longer work days, the investment in understanding these technologies will pay dividends in future development capabilities.Interested in joining the podcast? DM Behrad on LinkedIn:https://www.linkedin.com/in/behradmirafshar/This podcast is made by Bonanza Studios, Germany’s Premier Digital Design Studio:https://www.bonanza-studios.com/

Send us a textIn this thought-provoking episode of UX for AI, host Behrad engages with Bob Van Luijt in a philosophical exploration of creativity, language, and technology in the AI era. Bob, the founder of Weaviate (a vector database company), shares insights that blend his unique background in both music and technology.The conversation begins with Bob reflecting on his identity not as a musician or coder specifically, but as someone who "likes to make stuff" - emphasizing his passion for the creative process across different domains. He discusses his TED talk about language's fascinating ability to express infinite new ideas with a finite alphabet, drawing parallels between literature and software as systems of formal language.A central theme emerges around formal languages and their evolution alongside technology. Bob explains how spelling itself emerged from the practical needs of the printing press, drawing an analogy to how AI prompting languages are evolving today. As technology advances, we naturally develop more structured ways to communicate with it - a pattern repeating throughout history.The discussion turns to anxieties within creative communities about AI replacing human creativity. Bob dismisses these concerns, noting that similar fears have accompanied every technological advancement throughout history. He articulates a nuanced perspective: machine creativity and human creativity are fundamentally different, with humans uniquely able to assign aesthetic value to creative works. He challenges the notion that people in traditional "creative" roles have exclusive ownership of creativity, pointing out that creativity exists across all professions and endeavors.In the latter part of the conversation, Bob explains vector embeddings - the technology behind his company Weaviate. He describes how these multidimensional representations of information allow AI systems to understand relationships between concepts without explicit programming. By converting unstructured data (like text, images, and audio) into vector embeddings, organizations can unlock new capabilities for information retrieval and generation.The episode concludes with Bob's perspective on enterprise AI adoption, offering unexpected advice: companies should focus on bringing in talented Gen Z employees who intuitively understand emerging technologies. He suggests that the tension between experienced professionals and youth with "antennas" for what's new creates a productive dynamic for innovation.Throughout the conversation, both host and guest express excitement about the current moment as an unprecedented opportunity for creation and innovation. Their infectious enthusiasm culminates in a call to action for listeners to stop theorizing and start building, as the barriers to creation have never been lower in the age of AI.Interested in joining the podcast? DM Behrad on LinkedIn:https://www.linkedin.com/in/behradmirafshar/This podcast is made by Bonanza Studios, Germany’s Premier Digital Design Studio:https://www.bonanza-studios.com/

Send us a textIn this engaging episode of "UX for AI," listeners are taken on an exploratory journey through the diverse ecosystem of applications built using the Lovable platform. The host begins by sharing their personal experience with Lovable, expressing enthusiasm about their initial interactions while acknowledging they haven't yet fully committed to the paid subscription. This episode doesn't focus on the platform itself but rather on the fascinating array of products created with it.The host methodically walks through dozens of applications featured on Lovable's launch page, providing insightful commentary on each. From healthcare innovations like Doctor Lens AI, which offers advanced skin analysis and detection, to financial tools such as "Debt Free," a comprehensive debt management platform, the range of applications showcases the versatility of the Lovable development environment.Among the notable mentions are variant tracking systems for inventory management, workflow optimization tools, and even humorous applications like the "Critical Protocol" suite that offers office-friendly joke generators and passive-aggressive workplace sticker creators. The diversity continues with practical utilities like "Croc Show," which transforms natural language into powerful shell commands, and "Rapid Design," which analyzes WhatsApp chat exports to provide visual insights into conversation patterns.The host gives special attention to several standout applications. "Fabula," an AI storyteller that creates personalized stories for children, receives particular praise. Similarly, the "Coloring Creator," which generates custom coloring pages for kids using AI, is highlighted as having genuine practical value for families looking to save money on children's activities.E-commerce solutions also feature prominently, with one application promising to reduce development time from months to weeks by providing a comprehensive system including user roles, product management, and payment processing functionality. The host compares this favorably to established platforms like Shopify.Throughout the episode, the speaker maintains a balanced perspective, acknowledging when ideas seem particularly innovative or commercially viable while also noting when others appear to be more experimental in nature. They observe that many creators seem to be using these projects as learning opportunities rather than pursuing immediate commercial success.The podcast concludes with the host encouraging listeners to visit Lovable's launch page to explore these applications firsthand and gain inspiration for their own projects. They emphasize the importance of experimentation, noting that finding a truly exceptional idea often requires multiple attempts. The host promises future episodes will continue to showcase their own experiments with the platform.This episode serves as both a showcase of current trends in AI-powered application development and a practical demonstration of what's possible using the Lovable platform. For developers, designers, and product managers interested in the intersection of user experience and artificial intelligence, the episode provides valuable insights into where innovation is happening and how new tools are enabling faster, more creative development processes.The final message encourages listeners to embrace experimentation, try different approaches, and discover which applications might work best for their specific needs—a philosophy that appears central to both the podcast's ethos and the Lovable platform itself.Interested in joining the podcast? DM Behrad on LinkedIn:https://www.linkedin.com/in/behradmirafshar/This podcast is made by Bonanza Studios, Germany’s Premier Digital Design Studio:https://www.bonanza-studios.com/

Send us a textIn this enlightening conversation, we welcome 22-year-old serial entrepreneur Sebastian Hjärne, founder and CEO of Talentium, who shares his remarkable journey from school dropout to innovative tech founder. Sebastian opens up about his unconventional path, revealing how his boundless energy and constant stream of ideas made traditional education challenging. Rather than following the prescribed route of university, he chose to dive directly into entrepreneurship immediately after completing school in Sweden, despite concerns from friends and family.Sebastian takes us through his entrepreneurial evolution across three distinct ventures. His first company emerged from identifying the difficulties in technical recruiting, which led to a successful exit after just seven months. His second venture, Clay Green, came from an unexpected source—tennis lessons. After noticing the environmental waste of tennis balls, Sebastian created a company that collects millions of tennis balls, separating the felt for insulation and rubber for children's playgrounds, showcasing his ability to solve problems across vastly different industries.The conversation reveals how these experiences led Sebastian back to his original passion—fixing the broken recruitment process—with Talentium. He describes the platform's innovative approach, using an AI-powered ChatGPT-like interface that streamlines the entire hiring journey. Talentium automates tedious aspects of recruitment while maintaining human connection, allowing users to find candidates, communicate with them, schedule meetings, and even record and summarize interviews automatically.Sebastian shares exciting insights about Talentium's upcoming evolution, explaining how they're refining their approach from seven distinct functions to a single, seamless workflow. He emphasizes their mission to become an essential recruiting tool for businesses of all sizes, from startups to enterprises, by addressing the universal challenge of finding and hiring talent efficiently.The discussion extends beyond Talentium to Sebastian's thoughtful perspectives on the future of AI applications. He cautions against the trend of companies simply adding "AI" labels to their products without solid foundations, stressing that successful AI integration requires robust underlying systems. Sebastian envisions progression from prompt-based interactions to agent-based approaches where AI can autonomously handle complex tasks like booking travel or managing recruitment.Throughout the conversation, Sebastian's entrepreneurial philosophy shines through—identify real problems, build solutions that work, and continually iterate based on user feedback. His journey demonstrates how personal frustrations can inspire innovative businesses, as his struggles with recruitment across all his ventures ultimately led to creating a solution that could transform the industry.Sebastian's inspiring story serves as a powerful reminder that unconventional paths can lead to extraordinary outcomes, and that entrepreneurship offers an alternative route for those who, like him, might not fit neatly into traditional educational structures. The episode concludes with his encouraging message to listeners: "Just start, just do it," reinforcing that the best way to learn is by taking action and figuring things out along the way.You can find Sebastian at: https://www.linkedin.com/in/sebastian-hj%C3%A4rne-4445961a4/https://talentium.io/Interested in joining the podcast? DM Behrad on LinkedIn:https://www.linkedin.com/in/behradmirafshar/This podcast is made by Bonanza Studios, Germany’s Premier Digital Design Studio:https://www.bonanza-studios.com/

Send us a textIn this thought-provoking episode of UX for AI, we dive deep into the transforming landscape of design with Felix Lebedinzew, a seasoned product designer with extensive experience in fintech and insurtech. Felix brings valuable insights from his work at leading companies like Revolut and GetSafe, offering a unique perspective on how AI is reshaping the design profession.The conversation explores the fundamental shift happening in the design industry as AI tools become more sophisticated and accessible. Felix articulates how traditional roles are being redefined, with designers evolving from pixel-pushers to system architects. He introduces the concept of the "generalist builder" – individuals who can leverage various AI tools to accomplish tasks that previously required specialized teams.Felix and the host discuss how the democratization of design tools is enabling people with little formal training to create sophisticated digital products. They highlight that while AI can handle much of the execution work, human designers still bring crucial value through their taste, judgment, and ability to create unique brand identities that resonate with users.The conversation also touches on the rise of "always-on experiences" – AI-powered systems that continuously work in the background, requiring designers to rethink how they communicate ongoing processes to users. Felix shares his perspective on how designers need to become more strategic, focusing on creating systems rather than individual interfaces.A particularly insightful moment comes when they discuss the concept of "lazy designers" – not in a negative sense, but as problem-solvers who create efficient systems that eliminate repetitive work. This approach allows designers to focus on higher-impact activities and expand their influence across organizations.The episode offers practical wisdom for designers navigating this shifting landscape, emphasizing the importance of curiosity, continuous learning, and a willingness to explore beyond traditional design boundaries. Felix encourages designers to embrace their unique position as connectors between different stakeholders and to take initiative in identifying and solving problems.Throughout the conversation, both speakers maintain an optimistic outlook, viewing AI not as a threat but as an opportunity for designers to elevate their craft and impact. They acknowledge the challenges but emphasize that designers who adapt and focus on creating value through systems thinking will thrive in this new era.This episode provides valuable insights for designers at all career stages, product managers, and anyone interested in understanding how AI is transforming creative professions. Felix's practical experience and forward-thinking approach offer both inspiration and actionable strategies for navigating the evolving design landscape in the age of AI.You can find Felix at: https://www.madebyfelix.com/Interested in joining the podcast? DM Behrad on LinkedIn:https://www.linkedin.com/in/behradmirafshar/This podcast is made by Bonanza Studios, Germany’s Premier Digital Design Studio:https://www.bonanza-studios.com/

Send us a textIn this episode of UX For AI, host Behrad Mirafshar sits down with Jesper Bylund, a freelance designer and former Head of User Experience at n8n, to dive deep into the fascinating world of UX design, artificial intelligence, and the no-code revolution. Jesper brings a wealth of experience from his time at n8n, a leading automation platform that has redefined how businesses and individuals approach workflow automation. Together, Behrad and Jesper explore the challenges and opportunities at the intersection of UX and AI, offering valuable insights for designers, creatives, and tech enthusiasts alike.The conversation kicks off with Jesper reflecting on his journey at n8n, where he played a pivotal role in shaping the user experience of a tool that has become a sensation in the no-code space. He shares the story of how n8n evolved from a side project into a powerful platform that allows users to visualize and automate complex workflows through a node-based interface. Jesper explains how the team navigated the challenges of designing for such a versatile tool, and how they integrated AI capabilities to enhance its functionality. He also touches on the importance of rapid iteration and experimentation, especially when working with emerging technologies like AI.As the discussion unfolds, Jesper and Behrad delve into the broader implications of AI for the creative industry. Jesper emphasizes that AI is not a replacement for human creativity but rather a tool that can amplify it. He discusses how AI can handle repetitive tasks, freeing up designers to focus on higher-level problem-solving and innovation. However, he also cautions against the pitfalls of over-reliance on AI, stressing the importance of maintaining a human touch in design. The conversation takes an interesting turn as Jesper shares his thoughts on the future of AI-driven design tools, predicting that we’ll see an explosion of creativity as more people gain access to powerful, easy-to-use tools.One of the most compelling parts of the episode is Jesper’s explanation of how AI and no-code tools are democratizing technology. He talks about how platforms like n8n are empowering non-technical users to build complex automations and even entire applications without writing a single line of code. This, he argues, is leveling the playing field and enabling a new wave of innovation. Jesper also shares his excitement about the potential for AI to revolutionize research and development, citing his work on Find Insight, a research tool that leverages AI to conduct user interviews at scale.Throughout the episode, Behrad and Jesper touch on a range of thought-provoking topics, from the philosophical underpinnings of the scientific method to the importance of questioning assumptions in design. Jesper shares his skepticism about the concept of “validation” in research, arguing that true progress comes from disproving hypotheses rather than confirming them. This leads to a fascinating discussion about how designers can adopt a more critical and experimental mindset in their work.The episode wraps up with Jesper offering advice for designers and creatives navigating the AI revolution. He encourages listeners to embrace the uncertainty and rapid pace of change, urging them to experiment fearlessly and stay curious. Tune in to UX For AI for a deep dive into designing the future.You can find Jesper here: Interested in joining the podcast? DM Behrad on LinkedIn:https://www.linkedin.com/in/behradmirafshar/This podcast is made by Bonanza Studios, Germany’s Premier Digital Design Studio:https://www.bonanza-studios.com/

Send us a textThis podcast transcript features a conversation between the host and Arun, the founder and CEO of Electric Miles, a company specializing in AI-driven smart charging and energy flexibility solutions for electric vehicles (EVs). The discussion explores the intersection of AI and energy, focusing on how technology can optimize EV charging, reduce costs, and contribute to a more sustainable energy future.Arun shares his journey from working in the traditional energy sector, including roles with utilities in the UK and Europe, to founding Electric Miles. His inspiration came after driving a Tesla Model S, which he felt was years ahead of other vehicles in terms of technology and performance. This experience, combined with his background in energy, led him to explore how AI could revolutionize EV charging. He realized that while EVs are environmentally friendly, the electricity used to charge them often comes from non-renewable sources like coal or gas. This insight drove him to develop a solution that not only optimizes charging costs but also ensures that EVs are charged using renewable energy whenever possible.Electric Miles started as a web application designed to help EV owners charge their vehicles at the cheapest and greenest times by leveraging grid data and renewable energy availability. The platform has since grown significantly, now serving over 13,000 users and managing more than 300,000 charging sessions. Arun explains how the platform uses AI to automate charging schedules, ensuring that vehicles are charged during off-peak hours or when renewable energy is abundant. This not only reduces costs for drivers but also alleviates strain on the grid.One of the key innovations Arun discusses is energy flexibility, where EV owners can earn money by adjusting their charging behavior. For example, during peak demand, EV owners can choose not to charge their vehicles or even sell energy back to the grid. Arun highlights a project in Austria where Electric Miles successfully traded energy from EVs back to the grid in real-time, showcasing the potential of bidirectional charging. This technology allows EVs to act as mobile energy storage units, contributing to grid stability and reducing the need for additional power plants.Arun acknowledges the challenges of renewable energy, particularly its intermittency and reliance on weather conditions. He emphasizes the importance of energy storage solutions, such as batteries, to balance supply and demand. Looking ahead, Arun envisions a future where homes and businesses act as virtual power plants, using solar panels, batteries, and EVs to create a decentralized energy network. This approach could democratize energy production and consumption, making the grid more resilient and sustainable.Machine learning plays a crucial role in Electric Miles' platform, optimizing charging schedules, route planning, and energy usage for fleets. Arun stresses the importance of a customer-centric approach in product development, focusing on user experience and simplicity. He shares how the company uses AI chatbots to troubleshoot charging issues, providing real-time support to users even outside business hours.Electric Miles is expanding into new markets, including Germany, the Benelux region, and California. Arun discusses upcoming product launches, such as a net-zero program Interested in joining the podcast? DM Behrad on LinkedIn:https://www.linkedin.com/in/behradmirafshar/This podcast is made by Bonanza Studios, Germany’s Premier Digital Design Studio:https://www.bonanza-studios.com/