Amazon Quickβs new activity feed on mobile: the morning priority view, left, and the full feed. (Amazon Images)
Amazon is adding the Activity Feed and other features from its Quick desktop app to the AI assistantβs mobile apps for iOS and Android.
The Activity Feed is the signature feature of Amazon Quick. It combines email, Slack messages, calendar invites and CRM updates into one prioritized list, and lets people act on items (opening and responding to emails, for example) without switching apps.
Amazon said Wednesday that the Quick desktop app, released in preview in April, is now generally available on Windows and macOS. The company also said Quickβs agents now run in the cloud, so they keep working after a laptop is closed and deliver results to the feed.
The desktop and mobile apps now sync, as well, so a task started on a laptop can be picked up on a phone, for example.
Quick has a free tier, with paid individual plans starting at $20 per user per month billed annually, and business plans running $20 to $40 per user per month.
Quick is Amazonβs entry in a crowded market for AI assistants at work, competing with Microsoft Copilot, Google Gemini, OpenAI, Anthropic and others. Amazonβs announcements cited business customers for Quick including Southwest Airlines, LabCorp and the PGA Tour.
The desktop app came together fast, as part of a new effort inside Amazon to use small teams to move quickly: Swami Sivasubramanian, the AWS vice president of agentic AI, told GeekWire in June that a team of about six engineers started in late January and shipped April 28.
If you're keeping up with the AI trend, you might be familiar with big tech companies like Apple and Google promising personalized AI experiences. Apple calls it Apple Intelligence, while Google calls it Personal Intelligence on its Gemini platform.
Gemini Spark can edit and curate photo albums, create shared collections, turn photos into calendar events, and handle other Google Photos tasks for AI Pro and Ultra subscribers.
Cloud-based AI models operated by OpenAI, Anthropic, xAI, and Google suffered a rare and overlapping set of significant service interruptions over a period of hours Thursday morning.
Anthropic first reported a "partial outage" related to "elevated errors on requests to Claude Mythos 5.1, Claude Fable 5.1, and Claude Opus 5" at 9:23 am (all times Eastern). The company reported that it had "identified the cause" of the error roughly 15 minutes later, before reporting that "a fix has been deployed" and the issue was resolved by 12:16 pm. A separate incident report indicated "elevated errors on requests to Claude Sonnet 5" for a brief period just after noon.
OpenAI, meanwhile, reported "elevated errors across ChatGPT and Codex" were resulting in "degraded performance" as of 10:43 am Thursday morning. A mitigation put in place a little more than half an hour later led to the issue being marked as "resolved" by 12:55 pm.
Google hasn't released a frontier-level Gemini Pro AI model since early 2026, but it sure loves rolling out new Gemini Flash variants. Today, Google is announcing its third Flash model release in just six weeks, making it more likely that we'll never see the promised Gemini 3.5 Pro. But no matter, says Google, because Gemini 3.8 Flash is its best reasoning and coding model yet.
Gemini 3.8 Flash comes in two variations. There's the standard Flash, which Google describes as a "workhorse" model that's good for anything from agentic tasks to software development. Then we have Gemini 3.8 Flash Cyber, which runs on the same foundations but has been tuned for vulnerability detection and mitigation.
For developers, Google has the same pitch as it did for the 3.7 Flash release just a couple of weeks ago. API access to the model is available at an "introductory rate" through the end of the year: $0.75 per million input tokens and $3.75 per million output tokens. The regular price will be $1.50 / $7.50, but it's likely there will be new models available long before the price changes. Google probably sees the lower prices as a necessity given that other AI labs have recently dropped token pricing to keep increasingly wary businesses engaged with AI tools.