Recall: Summarize & save

Great Concept, but Lacks Reliability and AI Accuracy Recall started out as a great app, and I genuinely liked the concept and the potential it had. I understand that the company is relatively new and that the team is working through growing pains and technical challenges. I respect the effort being made to improve the platform, and I think the team deserves credit for that. However, there are some recurring issues that are becoming increasingly difficult to overlook. These are not just isolated frustrations I have experienced. I also have friends and family members who use Recall and have encountered many of the same problems. One of my biggest concerns is the loss of saved information. You can spend a considerable amount of time working on a card, adding notes, organizing information, and building on something you have already saved, only to return later and discover that some or all of your work has disappeared. The frustrating part is that there does not seem to be a way to recover the missing information. Losing work that you have invested time and effort into, with no recovery option, is extremely discouraging. The performance issues are another major problem. For example, I am currently using the chat feature, and a question has been sitting in a thinking state for over an hour without generating a response. Excessive lag, delayed responses, and features that appear to get stuck make the platform difficult to use consistently. These are the kinds of issues that interrupt your workflow and make you question whether the tool is dependable. I also have significant reservations about the accuracy of Recall’s AI model. It frequently produces inaccurate information, misinterprets what is being asked, makes assumptions, and sometimes generates details that were never included in the original material. Rather than working strictly with the information provided, it can introduce its own interpretations and present them as factual information. This means you constantly have to double-check its responses, research the information independently, and correct mistakes. That defeats much of the purpose of having an AI assistant in the first place. I actually appreciate that Recall offers a more open-ended AI experience with fewer restrictions. I think that is one of the platform’s strengths. However, having fewer restrictions does not mean much if the information being generated is unreliable. I find ChatGPT considerably more dependable when it comes to the accuracy of information and how it interprets source material. I have similar concerns with Gemini, which can sometimes make assumptions or generate information that is not supported by the facts. Unfortunately, Recall’s AI experience has left me with similar reservations. There are also some organizational features that could use improvement. When saving information under specific categories, finding older content can be unnecessarily time-consuming because recently updated information appears at the top. There should be an option to hide, archive, or customize what appears within these views so users can access the information they actually need without continually scrolling through content that is not relevant at the moment. Another issue is how the AI interprets certain words and phrases when saving, organizing, or working with information. There are times when the system does not interpret what is being entered correctly, resulting in inaccuracies and unnecessary corrections. Ultimately, Recall has a great concept, and I would genuinely like to see the platform succeed. However, the recurring data loss, lack of recovery options, persistent lag, inaccurate AI responses, and limitations in organizing saved information significantly affect the user experience. These concerns are also being experienced by other people I know who use the app, which suggests that they are not necessarily isolated incidents. For the monthly subscription price, I expect a much more reliable experience. It is difficult to justify paying for a tool when saved work can disappear, responses can take an unreasonable amount of time, and the AI cannot consistently be trusted to provide accurate information. I would much rather see the company prioritize the fundamentals: protecting users’ saved information, providing a way to recover lost work, improving performance, addressing AI accuracy, and making information easier to organize and retrieve. Recall has tremendous potential, but the platform needs to become more dependable before I can comfortably rely on it as my primary knowledge management tool. I want to like it as much as I did when I first started using it, but right now, the recurring issues make that increasingly difficult.