88Z AI, 18 June — OpenAI is gradually rolling out a new scheduled tasks feature for ChatGPT, replacing the existing Pulse functionality. This update aims to improve speed and stability, enabling users to send reminders, handle periodic work, and monitor specific items. The new interface allows unified task management via a dedicated sidebar page, supporting both precise times and broad time windows. Monitoring tasks can perform web searches and read app data, but are limited to running once per hour and may pause
At a glance
- New scheduled tasks replace Pulse, offering improved speed, stability, and unified sidebar management
- Supports web monitoring and app data reading, limited to once per hour with auto-pause on inactivity
The update
OpenAI is gradually introducing a new scheduled tasks feature to ChatGPT users, which will completely replace the original Pulse functionality. The new version features optimized underlying architecture, significantly improving task execution speed and system stability. To facilitate user management, a dedicated sidebar page has been added to the interface, allowing all scheduled tasks to be viewed and edited in one place. Functionally, users can not only set up reminders and handle periodic work but also create monitoring tasks. These tasks support web searching for information and reading data within applications. Users have greater flexibility when setting times, as they can choose either a precise specific moment or specify a broad time window. It is important to note that these tasks can execute at most once per hour, and the system may automatically pause task execution if prolonged inactivity is detected to conserve resources.
Sources & editorial note
This article is an AI-assisted synthesis by 88Z AI based on the public sources below. Product claims and availability are attributed to their publishers. It does not represent independent testing or first-hand reporting.
- IT之家Source published
Source dates above refer to the original announcements; the date under the headline is this article’s publication on 88Z AI.