On-Device AI Timing Support
Take a short self-assessment to let planimbAI provide you with tailored on-device predictions of your projects’ punctuality.
A powerful algorithm combines on-device AI predictions with your tracked progress to provide an estimated number of days that a project is deviating from your given schedule.
See below for the limitations of AI timing support.
Powerful and Dynamic Project Overview
Define multiple task areas per project to model and visualize independent and parallel workflows. Add items, due dates, notes and events to tasks.
Privacy and Security
Machine learning features operate locally on your devices only, no user account is needed, and your data is shared neither with us nor any third party. Additionally, all data synchronized via iCloud is end-to-end encrypted.
Sounds good to you?
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Facts about AI Timing Support...
- What can AI timing support do?
planimbAI was built on the idea that certain individual traits might be influencing how accurately we estimate the time needed to complete our tasks. Based on a short self-assessment questionnaire and your tracked progress, AI timing support can provide an estimated number of days that each of your projects is deviating from your given schedule.
- Is AI timing support always enabled?
No. AI timing support is disabled by default and can only be enabled after you complete a short, anonymous and offline self-assessment questionnaire on your time management right in the app. Even without AI timing support enabled, planimbAI can still provide an estimated number of days that a project is deviating from your given schedule based on your tracked progress only.
- What are the limitations of AI timing support?
Based on your self-assessment and your tracked progress, planimbAI can only provide an estimated number of days that a project is deviating from your given schedule, and no more. In particular, planimbAI is not able to predict on its own the absolute time needed to complete your projects.
The accuracy of the predictions provided by AI timing support strongly depends on your inputs. The machine learning model used for AI timing support was trained based on a comprehensive statistical survey. As such, it may be accurate for many users, but not for everyone.
Therefore, performance and accuracy of AI timing support are not guaranteed. Information on project timing accuracy provided by planimbAI is in no way to be considered accurate, reliable or correct.