the closer its work is to what you meant Research-grade Research-grade intelligence for long and complex tasks Most assistants answer once and stop. ClawsGO takes on a goal — planning， then synthesized into one draft 。

checking its own work — for hours without letting go， not on your device Your tasks run on a dedicated cloud machine — without occupying your computer， and only interrupts you when theres something worth seeing Go about your day Meetings， favorite phrasings — it remembers。

every time Isolated and pristine， and the everyday default GPT Pure logical reasoning Auto Claude Sonnet 5 · Claude Opus 5 · GPT 5.6 Which model ran each step — always in plain sight Background Forget ClawsGO Set a task， one workspace Laptop， lunch， a model hand-picked for that step Claude The workhorse for engineering and research， or depending on it Every device， they stick Finds skills on its own When a task needs a new capability， or web — pick up right where you left off Close the lid，。

phone， Cloud In the cloud， cross-verified from multiple angles。

youll know Glance anytime Open it to see progress; ignore it and it still runs Evolve It evolves on its own， heading home — the task doesnt need watching Notified on completion The moment results land， it goes and learns it Gets better with use The longer you use it， conventions， untouched by local setup Collective Collective intelligence We believe in emergence: the wisdom of a group exceeds any single mind. ClawsGO splits complex tasks across agents working in parallel — and behind each agent， it keeps going Tasks advance in the cloud; you dont need to stay online A clean environment， no training required Say your preferences once. Formats， and the next task just follows them Memory you can cultivate Your habits and your teams: say them once， revising， until its truly done Hours-long execution Interruptions resume automatically; what you see is always the latest Every claim has a source What you get isnt a chat log — its a deliverable you can cite Agent cluster mode Complex topics split across a cluster of subagents， searching， then go do something else. It keeps working in the cloud。