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Headlines · 3
- Hands-on with Today AI: a Chinese personal assistant that remembers but misjudges
A Geek Park writer spent ten days with Today AI, a Chinese personal AI assistant built by Teambition founder Qi Junyuan; its domestic version launched on 24 September and connects to Feishu, DingTalk, WeChat and Tencent Docs. It remembers personal preferences, pushes morning and evening briefings, handles cross-topic chat in a single window, and once called Claude Opus 5 to localise a game mod. The reviewer's main complaint is judgment: a trivial question became an hour-long background task, while a critical mod-install step drew confident but useless instructions. The piece frames Today AI alongside Meta Muse, OpenAI Dots and Manus Cue, and cites a report that Muse leaked nearly 190,000 user conversations during its September push.
虎嗅 AI · 🔥 7 - Tencent's WorkBuddy adds a standalone file browser with built-in AI editing
Tencent's AI office agent WorkBuddy launched a standalone file browser on October 8: users can right-click a Word, Excel, PPT, PDF, Markdown or HTML file and open it with WorkBuddy in its own window, skipping the usual step of uploading files into a chat box. The window shows the document on the left and a Buddy chat on the right, supports multiple tabs, and keeps the earlier "human-AI co-writing" mode, with AI edits highlighted in yellow; Word, Excel and PPT changes save back to the local file, Markdown autosaves, and HTML saves when editing ends, while files changed in other apps prompt a refresh or save-as-copy. Newly generated files land in the original folder by default, and Markdown or HTML files received in WeChat can be previewed and forwarded through the WorkBuddy mini program. Tencent says viewing and editing local files costs no credits, AI tasks are billed by task, and the browser only reads files the user opens or adds.
智东西 · 🔥 28 - AI product managers and Personal Agents: the gap between strategy and user scenarios
The piece argues that Personal Agents carry huge strategic value — they are the first recipient of user intent and a potential new interface and service distribution layer — with Grok Bot, Meta Muse and OpenAI's dots all arriving in recent months. Yet the hard part is the scenario: users need what products cannot yet do, while products do what users do not need, so many agents fall back to personal-efficiency tasks like scheduling, recording and email triage. Using WeChat's years of post-2010 iteration as an analogy, the author says only eyesight for larger adjacent opportunities and patience with unglamorous details can close the gap between strategic value and real user scenarios.
虎嗅 AI · 🔥 7
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