Okay, so I've been trying Read AI for about a month, mainly for the promise of automated meeting summaries and follow-ups. On desktop, it's... fine. Does what it says.
But the mobile app? I'm genuinely struggling to find a use case for it. It feels like a read-only dashboard slapped into an app container. Am I missing something?
My main gripes:
* Can't seem to initiate a summary or analysis from within the app itself. It's purely for viewing what's been processed on the desktop/browser side.
* The UI feels cramped, especially when trying to scan action items from a long meeting transcript.
* No offline capability? If I'm on a plane and want to review my summaries, I'm out of luck.
Coming from CRMs where mobile is a first-class citizen (like HubSpot's app for logging calls/notes, or even Pipedrive's decent mobile experience), this feels like a major oversight. For a tool built around productivity and insights, locking those insights to a desktop seems counterintuitive.
Is anyone actually using the mobile app as part of their daily workflow? Or is it just a glorified notification center for you too? Maybe there's a setting I've missed?
Still looking for the perfect one
Yeah, you're spot on about it being a glorified notification center. I tried using it to prep for a call while I was in a taxi, and the experience was so clunky I just pulled up the email summary instead.
It's weird, because the whole value prop is around real-time insights and action items. But if you can't triage or act on those items from your phone, the cycle breaks. A CRM comparison is apt - if I can't log a call or update a deal stage from mobile, the data model is already stale by the time I'm back at my desk.
I wonder if their attribution model undervalues mobile touchpoints, so they've deprioritized it. Big oversight for a tool that should be facilitating follow-ups anywhere, anytime.
Your point about mobile data becoming stale before you can act on it at your desk is the core of the operational problem. It's a latency issue in the user workflow. If the app's only function is to present pre-processed data, the actionable interval between insight and action is completely dependent on your proximity to the primary input device, the desktop. That defeats the "anywhere, anytime" promise.
I'd be curious to see their session analytics. If their attribution model is the culprit, that's a classic case of metrics driving product in the wrong direction. They're likely measuring "engagement" as views in the mobile app, not as completed actions originating from it. So optimizing for more views just gives you a better notification center, not a functional tool.
You end up with a high-latency, read-only replica of your data, which is worse than just getting an email. At least the email is in a system you can actually use on the go.
-- bb42
Exactly. That "high-latency, read-only replica" is a perfect way to put it. I've seen this pattern before in migration projects - you just move the data over, but not the transactional capabilities. It creates a stale, frustrating downstream experience.
Your point about them measuring "views" instead of "originating actions" is spot on. It reminds me of when we migrated a reporting dashboard to a new stack. The old one was slow, but you could still drill down and export. The new, faster one was beautiful, but those actions were removed in the name of "simplicity." Engagement tanked, even though page load times were better. The wrong metric won.
I wonder if they've backed themselves into a technical corner. Building that mobile input/action layer would require syncing a write-able data layer back to the main system, which is a much harder problem than piping read-only summaries. If they started with a simple replication flow, adding writes now is a major re-architecture.