Raised $200 Million in Funding, Today AI Answers Ten Core Questions About Personal AI

Written by Deng Yongyi Edited by Zhang Yuxin Over the past month, Personal AI products including Muse and Instinct have caused a global sensation, becoming the most closely watched AI startup track. Among them, Muse surpassed 5 million downloads within 22 days of launch, a milestone ChatGPT took 56 days to reach, and in a rare moment, it lifted the spirits of the AI application sector. AI company Today AI may have explored this space even earlier than Muse. Founder Qi Junyuan previously founded Teambition and later oversaw various products at major tech companies including Alibaba and ByteDance. After assembling the team earlier this year, Today AI began rolling out its international and domestic versions starting September 9. In one sentence, Today aims to be the user's "personal assistant." After users authorize Today to access their information and app data, Today will accumulate memory through ongoing conversations, with the goal of becoming a general-purpose assistant organized around "people" rather than tasks. Compared with other Personal AI products, Today places particular emphasis on AI assistants being "human-like." This commitment is reflected throughout the product: during registration, users must give their AI assistant a name; during conversations, Today insists from the start on not dividing windows by task, with all interactions taking place in a single window. Interestingly, many years ago, when Qi Junyuan was still building a startup, Teambition also launched a product called "Today." When it launched, he wrote: "We hope it can understand everything you need to do in a day better than you do, from trivial to-do items to important work tasks, from relaxing personal appointments to serious company meetings, and even every article you need to read, and then gently remind you what you should deal with right now... Our expectation for it is simple: it should be simple and easy to use enough." Before Muse took off, many investors still considered this merely a beautiful vision. But the Today AI team does not see it that way. In 2026, Claude Code and Cursor have already demonstrated that Agents can autonomously complete complex work in specialized fields; many teams are focusing on model memory and context engineering, with a number of breakthroughs. "An Agent that manages everything for you" is no longer just technical talk. Today AI is also a team that, in a truer sense, answers