How I turned Claude into a self-improving PM assistant | Daniel Blum (PM, Melio)

Productivity for product managers transforms through the implementation of AI-driven "co-work" systems that automate coordination, research, and administrative overhead. By integrating tools like Notion, Slack, and meeting transcripts, these systems allow users to achieve in a single day what previously required a full week. A critical component of this workflow involves "self-improving loops," where the AI learns from user edits, tracks feedback, and proactively requests definitions for unfamiliar internal terminology. Beyond individual efficiency, scaling these capabilities across an organization relies on standardized "workstation" plugins that guide team members through initial setup and context-building. This approach shifts the focus from manual task management to high-level, data-backed decision-making, ultimately turning AI into a proactive partner that manages the chaotic flow of daily operations.