'No more apps'? What ambient AI really changes
Amazon's devices chief imagines a generation that won't say 'open the app.' But even he hedges — and the app is far from dead.
AI transformation
AI, put to work for your product.
How we put artificial intelligence to work: real cases, methods and lessons learned.
Voice AI hasn't had its 'ChatGPT moment' yet
Executives at PolyAI and Otter say voice still trips on speed, transcription and trust. Worth knowing before you bolt it into an app.
An AI agent that acts for you — and the question of trust
Hark, an AI assistant that touches your email, calendar and cards, shows what it does on screen. Trust isn't declared — it's proven.
AI doesn't always cut costs — sometimes it inflates them
In the US, AI tools reportedly added $942M in healthcare spending over two years. A reminder: AI saves nothing by magic.
When AI gets a rulebook
Microsoft publishes a 'code of conduct' for its models: no hacking, no deceiving, no escaping human control. A useful reminder for the rest of us.
When AI agents meet the real web
New findings that AI agents stumble on CAPTCHAs are a useful reminder: the web is built for humans, and agents inherit all its friction.
Building with AI responsibly when the hype is loud
Between doom warnings and breathless launches, product teams need a calmer, more grounded approach to AI.
Slower, safer models: what it means for your app
As leading labs talk about pacing AI development, product builders should focus on reliability over raw capability.
Agents are becoming apps: designing agent-native products
When an AI agent tops the app charts, it's a signal: agents are a product category, not just a feature.
When AI demand outstrips supply: designing for capacity
Even the biggest providers pause signups under load. Your AI features need a plan for the limits.
Where LLMs still fail — and why knowing matters
Public disputes over what AI can really do are a healthy reminder to design around the limits, not the demos.
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