AI-curated insights from 1000+ daily updates, delivered as an audio briefing of new capabilities, real-world cases, and product tools that matter.
Stay ahead with AI-curated insights from 1000+ daily and weekly updates, delivered as a 7-minute briefing of new capabilities, real-world cases, and product tools that matter.
Join The GenAI PMDive deeper into the topics covered in today's brief with these AI PM insights.
As of November 2025, OpenAI’s ChatGPT Agent Mode preview is an effective tool for AI Product Managers aiming to automate routine yet crucial tasks such as research, planning, and execution. This feature allows ChatGPT not only to respond to prompts but to actively take actions, including browsing for the latest information. Here’s how to integrate it into your workflow: 1. Activate the Preview: Ensure you have access to ChatGPT as a Plus, Pro, or Business user, then enable the Agent Mode preview in your settings. 2. Define and Structure Tasks: Write clear, detailed prompts that outline the specific tasks you want automated—be it market research, competitive analysis, or content planning. This clarity is essential for maximizing the tool’s self-driven capabilities. 3. Leverage Real-Time Browsing: With the integrated browsing capability, ChatGPT can fetch up-to-date information. Use this to enrich product requirements or refine feature specifications based on current market data. 4. Monitor Outputs and Iterate: Regularly review the AI’s actions and results. If the outputs are not as expected, modify your prompts and re-run the task. This iterative process ensures sustained effectiveness and alignment with your product goals. Early feedback suggests that PMs using Agent Mode can reduce manual research time by up to 30%, enhancing efficiency and enabling them to focus on higher-level strategy rather than routine tasks. While full case studies are emerging, these practical steps offer a clear pathway for immediate implementation by AI PMs looking to modernize their product management workflows.
As of November 2025, Harrison Chase’s introduction of the Deep Agents CLI with Memory provides a practical solution for AI Product Managers looking to streamline workflow processes by automating repetitive tasks and retaining crucial contextual instructions. Here’s how you can implement this tool: 1. Install the CLI: Begin by installing the Deep Agents CLI from the deepagents package, following the provided documentation to ensure a smooth installation and setup. 2. Utilize Persistent Memory: Configure the CLI to take advantage of its persistent memory feature, which allows you to store guidelines and command contexts over multiple sessions. This means that once you establish a set of instructions, the tool can recall and use them for subsequent tasks, reducing the need for repetitiveness. 3. Automate Routine Tasks: Identify repetitive tasks in your workflow such as meeting summaries, progress updates, or iterative feature reviews. Script these tasks through the CLI so that it can execute them automatically while retaining important contextual details. 4. Regularly Validate Context: Periodically review the stored guidelines to ensure they remain accurate as your projects evolve. This iterative process helps maintain the reliability of the automated workflows. Preliminary reports from early adopters in November 2025 indicate improved efficiency in agile sprint planning and feature update management, as the CLI drastically cuts down the time spent on manual inputs. Although comprehensive case studies are still emerging, the ability to automate and remember detailed instructions positions the Deep Agents CLI as a valuable tool in a modern AI PM’s toolkit.