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Practical AI workflows, automation, agents and tools that save real time.
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24 Mode items currently match this category.
Two source sets frame the opportunity differently: Eurostat’s 2026 statistical view of AI use, and Google Europe’s case for productivity and growth. The practical question is what Europe needs next.
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Google’s new frontier model is aimed at long-horizon work, but access starts with trusted cyber defenders before expanding to developers, enterprises and consumers.
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OpenAI is testing visual ads inside ChatGPT image generation, while pairing the format with measurement, brand-suitability controls, and a no-influence promise for answers.
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OpenAI is adding flashcards, quizzes, and a College Planner for ChatGPT for Teens, plus a teen advisory effort focused on digital wellbeing and AI.
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Southbank Centre’s Creative Intelligence weekend pairs playful AI experiments with artist-led work by Xin Liu and Alexandra Daisy Ginsberg, showing how science, ecology and creative agency can stay in the same conversation.
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Google’s redesigned Arts & Culture app is built around discovery, personalization, and playful AI tools. Here’s what changed, what it means, and which features are worth trying first.
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Matt Wolfe’s complaint is not really about Claude alone. It is about a familiar pattern in AI product news: companies frame a feature as if it is ready, then bury the real limitation in rollout language.
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A new open benchmark adds a public way to test how AI systems handle mental health prompts, with clinician input and privacy-preserving synthetic conversations.
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Bart Slodyczka’s tutorial is less about magic prompts and more about a repeatable process: plan the story, generate the media, stitch the scenes, then clean up the layout for desktop and mobile.
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Detour Shirts tests four Kittl AI styles with simple prompts and shows which ones feel ready for print on demand, which ones need cleanup, and which one stands out as the strongest choice.
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9x’s walkthrough makes a strong case for treating ChatGPT skills as workflow building blocks, not just another feature to collect. The value is in structure: smaller instructions, cleaner context, and reusable steps that teams can share.
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Riley Brown’s 48-hour test of Claude Code Projects is less about novelty and more about structure: one main project, many threaded tasks, shared memory, editable artifacts, and a mobile workflow that makes the system feel usable in practice.
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Matt Wolfe’s quick hotel-room breakdown is less about hype and more about what changed: capability, cost, and the quality of the demos people are already posting.
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Google.org’s new support for Digital Promise adds scale, research and local delivery to free AI training for teachers and faculty.
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OpenAI is making a case that frontier AI needs shared rules, not just stronger models. The real question is which safeguards can be standardized without freezing innovation.
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Google Labs has expanded CC from a personal assistant into a household agent for families, with shared briefs, calendar support, and permission-based task handling.
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Bart Slodyczka’s comparison is useful because it does not assume pay-as-you-go is always cheaper. The better choice depends on how much video you make, how many images you need, and whether you want the API wired into ChatGPT.
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Matt Wolfe’s conversation with Bilawal Sidhu shows why the open-source project is interesting: it is less a movie-style surveillance toy than a civilian intelligence interface built around public data, spatial context, and careful limits.
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Riley Brown’s 2-hour walkthrough frames Codex as the place where app building, browser control, documents, plugins, and automations all converge around GPT-6 Astra.
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Matt Wolfe tried to build a tool that could flag AI video before people get fooled by it. The result is less a finished product than a useful look at where current detection tools still break down.
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Matt Wolfe’s September 3 roundup separates benchmark gains from practical value. Fable 5.1, Gemini 3.8 Flash and the subsequent GPT-6 Astra rollout show why cost, speed and workflow fit matter alongside capability.
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Darrel Wilson’s walkthrough is really about the missing middle in AI website building: turning a polished Claude project into something that can be hosted, updated, and connected to a database without falling apart at deployment time.
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Dara Denney’s Claude Cowork setup is less about clever prompts and more about building repeatable systems for briefs, reports, client health checks, and creative analysis.
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Feisworld Media shows how Filmora’s AI audio denoise tools can clean up field recordings, wind, and background chatter without sending clips to another app first.
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