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@markhoman
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@markhoman
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2026-03-09 22:09:43
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Designing for Decision Fatigue in AI-Heavy Apps
Introduction Have you ever opened an app and felt overwhelmed by too many options? One minute you’re trying to get something done, and the next you’re staring at endless suggestions, buttons, and notifications. This is a common problem in modern apps powered by artificial intelligence. AI is amazing at offering recommendations, predictions, and automation. But when an app presents...
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@markhoman
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2026-03-09 22:08:41
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Incident Transparency as a Product Feature
Technology runs much of our daily lives. We order food, pay bills, talk to friends, and even manage businesses through mobile apps. But here’s something we rarely think about—what happens when those apps fail? Every digital product experiences issues at some point. Servers crash. Updates break features. APIs stop responding. The real question isn’t “Will something go...
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Anas Boolean
@markhoman
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2026-03-09 22:07:34
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Designing Around Latency Variability
Introduction Have you ever opened an app and felt like it took forever to respond? Maybe the screen froze, a button took ages to work, or the content appeared in slow motion. That delay is often caused by latency variability—the unpredictable time it takes for data to travel between your device and a server. In today’s fast-paced digital world, users expect mobile apps to respond...
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Anas Boolean
@markhoman
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2026-03-09 22:06:16
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UX for Partial AI Results: Designing Better Experiences in Modern Apps
Introduction Artificial Intelligence is quickly becoming part of everyday digital experiences. From voice assistants to recommendation systems, AI helps apps become smarter and more helpful. But what happens when AI doesn’t produce a complete answer? This is where UX for Partial AI Results becomes important. Sometimes AI systems return incomplete information, partial answers, or results...
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Anas Boolean
@markhoman
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2026-03-09 22:05:07
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Chaos Testing for AI-Driven User Journeys
Introduction Artificial Intelligence is changing how mobile apps work. From personalized recommendations to smart chatbots, AI-driven apps are becoming part of everyday life. But here’s an important question: What happens when things go wrong? Imagine you open a shopping app and the recommendation engine suddenly crashes. Or a chatbot gives confusing responses because a server fails....
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@markhoman
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2026-03-05 22:39:18
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Designing Feature Kill-Switches Without Panic
Introduction Have you ever opened an app and suddenly noticed that a feature you used yesterday is gone? No error message. No crash. Just… quietly gone. That’s often not a mistake. It’s something called a feature kill-switch. In modern apps, developers sometimes need the ability to instantly disable a feature if something goes wrong. Maybe a payment tool fails, maybe a new...
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@markhoman
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2026-03-05 22:38:10
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Building User Trust During AI Service Outages
Introduction Artificial intelligence is everywhere today—from voice assistants and recommendation engines to banking apps and healthcare platforms. But what happens when these systems suddenly stop working? Imagine relying on a GPS app during a road trip and it crashes halfway through. Frustrating, right? That’s exactly how users feel when AI-powered services go down. Even the most...
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@markhoman
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2026-03-05 22:37:02
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Reliability-First Design Systems for AI Products
Introduction Artificial Intelligence is everywhere today. From chatbots answering customer questions to smart assistants scheduling our meetings, AI products are becoming part of everyday life. But here’s the big question: Can we trust them? Imagine using a GPS that sometimes shows the wrong route or a banking app that gives inconsistent answers. Frustrating, right? The same thing happens...
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@markhoman
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2026-03-05 22:35:45
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Designing for Model Unavailability in Production
Introduction Artificial intelligence is quickly becoming a core part of modern applications. From chatbots to recommendation systems, AI models are working quietly behind the scenes to make apps smarter and more helpful. But here’s a question many businesses forget to ask: what happens when the AI model stops working? It might sound unlikely, but model downtime is very real. Servers fail,...
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@markhoman
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2026-03-05 22:34:47
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UX for Graceful AI Timeouts: Designing Better Experiences When AI Slows Down
Artificial Intelligence has quickly become a core part of modern mobile apps. From chat assistants and recommendation engines to voice recognition and image analysis, AI powers many of the features we use daily. But here’s the thing most users don’t realize: AI doesn’t always respond instantly. Sometimes it slows down. Sometimes it takes longer than expected. And occasionally,...
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Anas Boolean
@markhoman
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2026-03-05 20:09:36
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Developing Modular Product Systems for Repeat Purchases
Introduction Have you ever bought something once and then found yourself buying extra pieces later? Maybe it was a phone case with add-ons, a modular shelf, or a coffee machine that needed new pods. That’s the power of modular product systems. A modular system is simple: instead of selling a single standalone product, you design products that work together like building blocks. Customers...
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@markhoman
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2026-03-04 22:02:57
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Local-Only AI as a Competitive Advantage
Have you ever wondered where your data actually goes when you use an app? We tap, swipe, upload photos, send voice notes — and somewhere far away, in massive data centers, that information gets processed. But what if it didn’t have to travel at all? That’s where Local-Only AI steps in. Instead of sending your data to the cloud, Local-Only AI processes everything directly on...
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