Daniel describes using Claude, Cowork, Notion, Slack, email, meeting notes, and other connected tools to organize his work and automate recurring coordination. The system consolidates incoming information, maintains priorities, prepares his week, and produces a morning brief that identifies meetings, action items, and shifting priorities. Claude can also detect unfamiliar company terminology and save explanations to its persistent context, allowing it to become more effective over time. A central theme is that powerful AI workflows depend less on a particular tool than on maintaining rich context and designing systems that continuously update themselves. Although the initial setup requires significant effort, the investment compounds as repeated tasks become automated and the system learns from Daniel’s edits and frustrations. His self-improvement loop turns workflow friction into new capabilities, while an “Improve” skill filters useful ideas from the constant stream of AI advice. Daniel also explains how he packaged this approach into a Workstation onboarding experience for other product managers. The biggest remaining limitation is that Claude still cannot independently handle every task without an active computer connection. The time saved is redirected toward customer conversations, user research, and deeper product thinking.