Airtap

Based on the available evidence, Airtap looks promising but should be evaluated cautiously before broad adoption. The current buzz shows clear interest in the idea of AI operating mobile apps, but most of that is attention proof rather than usability proof: the X posts are mainly repost-style mentions, and they show that the concept is striking, not that reliability or success rate is well established. The stronger evidence comes from Zhihu posts that mention setup details and an official skill repository, which is more useful for judging capability and onboarding, though the sample is still limited.

In practice, Airtap should not be framed as a general chatbot or a classic desktop RPA tool. A more accurate analogy is “giving an AI a cloud phone” so it can execute steps inside mobile apps when APIs are missing or web versions are incomplete. The evidence consistently points to cloud-phone control, SMS triggering, tapping, swiping, and form filling. That suggests a fit for structured, repetitive app workflows, but not enough support yet to call it a proven enterprise-grade mobile automation platform across broad scenarios.