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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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patterns and shortcomings of ai experiences today duration 35 57 lesson number 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 duration 24 36 lesson number 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 duration 09 00 lesson number 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 duration 13 35 lesson number 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 duration 27 11 lesson number 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 duration 12 47 lesson number 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 duration 28 19 lesson number 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 duration 20 18 lesson number 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 duration 09 15 lesson number 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 duration 15 52 lesson number 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 duration 27 32 lesson number 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 duration 19 03 lesson number 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 duration 29 40 lesson number 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 duration 15 36 lesson number 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 duration 27 25 lesson number 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 duration 16 52 lesson number 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 duration 24 15 lesson number 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 duration 21 19 lesson number 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 duration 24 02 lesson number 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 duration 17 11 lesson number 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 duration 24 11 lesson number 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 duration 14 58 mins lesson number 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 duration 21 01 lesson number 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 duration 14 25 simple prices no surprises buy once access forever check the packages get once watch forever new videos added regularly a growing library of video lessons examples with 30 lessons available now and more added once a year ideal for interface designers ui engineers and developers who d love to be prepared for complex ux challenges table of contents section lesson number lesson length 48 03 state of ai what can we design with ai today we ll study the different flavors of ai ux the emergence of ai fatigue and how people actually use ai we ll also touch upon product market fit gap quiet vs visible ai ai search optimization and why ai second products might work better than ai first products free lesson preview section lesson number lesson length 33 38 ai under the hood how magical is ai really well let s take a closer look at what actually happens inside of that magical box we ll break down confusing ai vocabulary to have meaningful conversations with ai engineers and product managers section lesson number lesson length 12 23 system user prompts that s where our ux journey begins as designers we can shape and influence how ai responds to user s queries it all starts with system and user prompts and custom instructions written by users section lesson number lesson length 08 20 context windows for an intelligence of any kind ai is remarkably forgetful especially during longer conversations with users it s not surprising because it actually has a limited memory or context window section lesson number lesson length 27 28 temperature well it s uncharted waters now let s explore temperature top_p top_k and max_tokens slightly mysterious but very useful ai parameters that control how creative predictable and verbose ai s responses are section lesson number lesson length 11 09 memory management we often hear about ai having memory but how does it actually work we ll explore how ai mimics memory the critical ux challenges that memory management creates and why we need to set up different personas and give users control over what the ai remembers about them section lesson number lesson length 14 30 prompt engineering as humans we aren t very good at articulating our intent well so why do most ai products place the burden of crafting the perfect prompt on users shoulders let s see how we can change that and why why a good old fashioned ui with nudges and controls is so much needed to complement an empty text box section lesson number lesson length 24 39 slow ai vs fast ai over the years ai experiences have changed compared to the early days ai today spends way more time planning researching reasoning asking for more context and stitching data together for some tasks users need slow ai and for others ai must deliver results 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 ui...