All content for AI Meets Productivity is the property of FastFedora and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
In this week's episode, ChatGPT and I talk about the common pitfall of marking tasks as done too early and the implications it has on productivity.
We discuss how the Prep-Do-Wrap framework can be used to evaluate whether a task is done, when and how to schedule follow-up tasks and the distinction between a "done" condition and a "success" condition.
This episode is a brainstorm episode for a future Day Optimizer article on the topic. In this episode, I gave ChatGPT no background information about the topic. Instead, we jumped straight into the discussion. How do you think it did?
