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description=We’ve all seen it: the classic chatbot UI trying to make AI feel magical — but instead, it’s slow, vague, and makes users repeat themselves endlessly. This course is a a deep dive into designing smarter, faster, and more intuitive AI interfaces.;

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Text of the page (random words):
lts faster despite its drawbacks section lesson number lesson length 18 46 ai agents the most significant attribute of ai agents is autonomy but how much control are we willing to give ai agents to take over and do our work for us we ll look at how ai agents work where they struggle how they are organized and why it s necessary to keep ai agents on a leash section lesson number lesson length 25 31 ai constraints and limitations ai has inherent flaws and limitations as designers we need to know these constraints to design viable and feasible ai experiences we ll explore ai naivety and hallucinations slow speed and low accuracy forgetfulness and ai model collapse section lesson number lesson length 22 25 digital sustainability no technology is free it always has some costs attached to it in fact ai has an enormous environmental cost from massive energy consumption and toxic mining to carbon emissions and water required for cooling section lesson number lesson length 35 57 usability how do people actually use ai how do ai experiences fit into their daily workflows and what do we know about common user behavior patterns and shortcomings of ai experiences today section lesson number lesson length 24 36 feature discoverability for any ai feature to deliver value it must first be discovered and that s where the troubles begin prompt suggestions often go unnoticed sparkles are often misunderstood and even prominent ai assistants get ignored section lesson number lesson length 09 00 capability awareness to many an empty text box is remarkably scary it suggests to ask me anything but then users don t really know what to ask and what format and at which level of detail let s see how we can help users understand what ai can do for them e g with task oriented suggestions good old fashioned filters and ui controls section lesson number lesson length 13 35 context awareness context awareness is knowing what it remembers and why it generated a specific response making ai s context transparent creates trust but it can go way beyond showing sources let s see how we can show scope with context chips how to map statements to specific text fragments and give users better overview of what ai knows about them section lesson number lesson length 27 11 onboarding ai features key ai features are often left between the lines inviting assumptions and guesses and typically that s the job of onboarding let s see how we can design better onboarding for ai features from pre prompts and interaction modes to custom user personas and recipe guides coming soon section lesson number lesson length 12 47 ai design framework the time has come let s dive into the myriad of practical design patterns for ai interfaces let s explore how we can address them from scaffolding and interaction to input ux output ux refinement and orchestration section lesson number lesson length 28 19 scaffolding part 1 so where should ai actually live in your product let s dive into scaffolding the layout composition and integration of our ai features we ll explore center stage experiences collapsible widgets side panels and complex flow builders we ll see how ai can go way beyond a text box section lesson number lesson length 20 18 scaffolding part 2 we ll drill down into very impactful but underutilized patterns for scaffolding we ll explore inline overlays infinite canvases ai powered data grids third party systems and the rise of the ai enhanced search section lesson number lesson length 09 15 interaction design we often think about chat input but there are different interaction modes from the familiar text and voice inputs to visual haptic and ambient interactions and then we also have multi modal experiences and we can even turn a simple doodle into a working prototype section lesson number lesson length 15 52 ai chat interfaces designing an ai human chat is an entirely different beast than designing a social messaging experience like whatsapp or telegram people are very good at spotting an ai disguised as a human assistant we ll explore design guidelines for transparent useful and respectful human ai interactions section lesson number lesson length 27 32 voice uis for ai features on mobile voice is often a default expectation as typing is tiring and slow we ll study ux challenges of designing invisible uis why it s so critical to be intentional with voice and tone the 10 second rule and how to create an accessible voice experience section lesson number lesson length 19 03 conversational uis a good conversation is built on trust understanding clarity and relevance yet many chatbots run in loops making users work harder rather than simplify the experience for them we ll explore how to design dialogue flows shape voice and tone and ux guidelines for more meaningful and helpful human ai conversations coming soon section lesson number lesson length 29 40 designing input ux part 1 when getting answers is easy we have to figure out how to ask the right questions they must be detailed enough and specific enough so let s dive into the art of designing the input ux modes of prompting and how to constrain the ai upfront with scoping and filtering section lesson number lesson length 15 36 designing input ux part 2 good prompts don t have to require a lot of typing we can use structured prompts templates and presets daemons and personas that change the ai s perspective task builders that construct prompts and visual canvases for intuitive interactions section lesson number lesson length 27 25 designing output ux users are often confronted with a wall of text produced by ai and they often get lost somewhere between sentences especially in longer conversations how do we make output more useful we ll explore the need for forced ranking the consensus meter color coding style lenses and collapsible reasoning traces to help users make sense of the ai output instantly section lesson number lesson length 16 52 accessibility great ux is always built on accessible inclusive experiences and ai is certainly no exception ai uis have critical accessibility challenges from the inverted navigation nightmare in chatbots to noisy polluting streaming and we ll see why conversations about ai accessibility start not with the ui but with the data that ai has been trained on section lesson number lesson length 24 15 refinement ux the most frustrating part of the ai experience happens after the ai gives its first response well welcome to the refinement journey we ll explore how to make refinement less annoying and less time consuming with direct interactions contextual prompts and precision knobs to get the exact result users need faster section lesson number lesson length 21 19 orchestration ux as ai takes over tactical tasks our role as designers is evolving from sketching uis to orchestrating flows we ll explore what it means to direct monitor and intervene with ai we ll see why building guardrails permissions and approval flows is so critical this is our new job keeping the ai on a leash so it is always aligned with human values section lesson number lesson length 24 02 designing guardrails and permissions in times when ai can act on user s beahalf by sending emails spending money and initiating actions we need to establish robust guardrails and a safety net to avoid ai agents going off the track coming soon section lesson number lesson length 17 11 ai capability value matrix not every ai feature can deliver on its promises and not every problem needs an ai solution we can map out ai capabilities against the value they deliver to prioritize estimate and choose ai initiatives to work on that s usually called ai capability value matrix coming soon section lesson number lesson length 24 11 design workflow for ai features once we identified high value opportunities with ai we need to start designing ai flows how exactly would it work though let s explore how design teams create iterate on and evolve ai features from scratch from low fidelity ai prototypes to testing refinements and usability testing coming soon section lesson number lesson length 14 58 mins how to measure ai ux with ai evals how do we measure the quality of ai experiences how do we track ai performance over time and its impact on ux loyalty retention and quality of output meet the world of ai evals a way of tracking the performance and reliability of ai systems let s dive into the specifics of how we can make it work for ai features coming soon section lesson number lesson length 21 01 how to build trust and confidence ai is fragile and often mistakes aren t an exception but rather a matter of time and every time a user discovers a mistake it s a small betrayal of trust mistakes are expensive as each betrayal chips away from the carefully orchestrated relationship with the user coming soon section lesson number lesson length 14 25 next steps you ve made it all the way to the last session but what s next just a few closing thoughts on next steps and how to feel comfortable and confident with the ever evolving ai plus the role of humans in that ai world and the values that we bring to the table 1 35 10h video real life examples checklists live sessions with 100s of practical examples guidelines gotchas checklists takeaways exercises applicable to your project right away get a sample download the first 3 videos a practical video course with ux guidelines design patterns and real world examples updated yearly and carefully hand picked by vitaly practical real life examples a growing video library of examples of ai interfaces from ai assistants and side panels to voice interfaces infinite canvases quiet ai third party integrations and onboarding from remote corners of the web 30 recorded video lessons each lesson is around 10 30 mins long with examples guidelines and checklists to keep in mind when designing and building ai interfaces you can watch lessons in any order and use them as references for your ongoing projects quality recordings subtitles all video lessons are recorded in high quality and include full captioning in english live sessions and q a twice a year you can participate in a deep dive live online ux training with exercises challenges and groupwork live you can also ask all your questions directly and get your work reviewed by peers and vitaly you get a ux certificate as well up to date ui ux checklists you also receive a 165 pages deck with ui ux checklists the deck includes useful questions pointers and best practices to bring up early to avoid issues down the line updated annually for you free of charge bonus life time access to ux checklists never forget important details all the fine little details that make or break uis in one single deck of 165 cards no expiry updated annually add on live ux training deep dive sessions with 1 1 feedback ux certification in a 2 weeks sprint you ll learn how to deal with real life ai challenges from the ground up you ll be designing complex ai interfaces receive feedback and work with vitaly and people around the world twice a year we ll host live ux training with live sessions on how to get started with ai ux live up to date sessions and certification real life case studies and examples ux deep dives and case studies design reviews and revisions personal 1 1 feedback with vitaly you ll have enough time to ask all your questions and learn at your own pace and you can get a ux certificate as well check the next ux training next ux training nov 16 24 2026 can t make it join in jan feb 2027 what s ux training like that s what these wonderful people say about the course brad frost atomic design front end engineer sweating the ux details a powerful new paradigm is here and everybody is scrambling to figure out how to wield ai it s still early days but one thing s become abundantly clear chatbot uis are weak sauce there s so much potential to improve the ux of ai enter vitaly he s spent more time than nearly anyone else on earth sweating the ux details of digital interfaces and he s going to bring his thoughtful practical and fun advice to this brave new world ioana teleanu ai x product design leader clear and super valuable vitaly has been helping designers build clarity through valuable content long before i joined the design industry many many years ago and this course makes no exception it helps you understand deeply how to properly surface ai in design and how to make the right interaction decisions in the new era of our roles very educational well structured and super valuable addy osmani engineering leader and senior thinker cuts through the hype it s one of those rare resources that cuts through the hype and gives you the practical building blocks you actually need when designing and shipping ai products as someone who works on ai assisted engineering at scale i find the way it breaks down complex ideas on designing around ai s unpredictability not just insightful but immediately usable it feels less like abstract theory and more like a field guide you d want open on your desk while you re building christine vallaure founder of moonlearning io cuts through the hype i m a huge fan of vitaly s work for its depth clarity and practicality and this course is no exception the course cuts through the hype and shows how ai can be fast trustworthy and genuinely helpful tejas kumar developer advocate host author and advisor deeply practical guide once again vitaly delivers exactly what our industry needs at exactly the right time it s an inspiring thoughtful and deeply practical guide to building humane and effective ai experiences nick dilallo ux writer essential practical advice essential viewing for anyone working at the intersection of design and ai vitaly s course is filled with clear explanations practical advice and new ways of understanding where our interfaces are headed next get this course for yourself then get it for your whole company jeremy miller host of the beyond ux design podcast best examples i ve seen vitaly has a gift for making complicated topics feel approachable ai can get overwhelming fast but the way he explains it makes it easy to follow and actually enjoyable to learn the materials are top notch honestly vitaly s courses are the best examples i ve seen of what a virtual course should look like the content is in depth and packed with value but it never feels heavy it s engaging practical and you walk away with real tools you can put into practice if you re looking to get into designing for ai but have no idea where to start i can t recommend design patterns for ai interfaces enough andy budd investor advisor and coach can t think of a better guide we ve already lived through the chatbot era and know how tricky unbounded input can be especially when it s our job to make sense of the output when things go wrong ai adds new layers hidden logic uncertain confidence levels and the need to surface what s usually invisible that s why i m so glad vitaly has put this course tog...