Twin presents itself as an AI employee that operates across applications and the open web rather than inside one tool. The key claim is trained once, autonomous forever: you demonstrate a process, and it repeats that process independently afterwards.
Learning by demonstration is the right approach for the work this targets. The processes worth automating are usually undocumented and live in someone's habits, and writing a specification for them is harder than simply doing them, which is why they never get automated. Showing the system once sidesteps that.
Operating across the web means it reaches systems with no API, which is where automation is otherwise impossible. The honest caveats are the ones inherent to this approach: interface-driven automation is slower and less deterministic than an API call, and an autonomous process needs monitoring, because a process that silently drifts is worse than one that fails loudly.
