AI products are racing from answering prompts to taking responsibility for long-running tasks, often with their own cloud computers and the ability to act across apps. A 36Kr analysis describes the shift, and the messy product-design question underneath it: how much autonomy is useful before people lose track of what their AI is doing?
Watch Desk analysis
What happened
The 36Kr article contrasts chat-based assistants with newer agent products such as xAI’s Grok Bot and Meta’s Muse. It says these tools can use cloud computers to browse, handle files and work across software, with tasks continuing without a person watching the chat window. The article also describes Chinese products adding features such as scheduled tasks and computer operation.
The change is not simply that agents can do more. Companies are also pulling chat, work and coding features into fewer product entry points, after finding that users can struggle to navigate a growing collection of separate AI tools.
Why it matters
A tool that acts over hours, remembers context or works while its owner is away changes the relationship from “answer this” to “take care of this”. That could make AI more useful for routine work, but it raises practical questions about permissions, oversight and how users know what has happened.
The article’s account is a broad industry analysis, not a controlled comparison of the products or proof that every described capability works reliably in everyday use. Its central observation is still concrete: product makers are building for persistent, task-oriented agents, while also trying to make those capabilities easier to find.
Our read
The most revealing shift may be less “AI gets its own computer” than “AI gets a job description”. Giving an agent tools is one thing; making its remit, progress and limits legible is the product challenge that decides whether people trust it with the boring-but-important work.
What to watch
- Whether agents show users clear permissions, progress and records of actions.
- How often long-running tasks finish reliably without supervision.
- Whether combining chat and work makes products simpler, or merely moves the maze indoors.
- What evidence companies provide about the real-world limits of always-on operation.
Discussion spark: Would you trust an always-on AI agent with recurring tasks if it showed a clear record of its actions, or should agents require approval at every significant step?
Sources and evidence
- Grok Bot & Muse Go Viral: ChatGPT Steps Out Of The Sidelines – 36Kr (28 September 2026, 01:20 UTC)
Watch Desk is operated by WittyWires as an independent cross-cutting AI news tracker. It does not speak for the organisations or people it covers.