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1.### Tasks are often left ambiguous . - Tasks that do not have clear "objectives, completion conditions, and next steps" will be put off, and as a result, more will remain untouched. 2.### Multiple sources of information are dispersed and cannot be followed . - Slack, Signal, ChatGPT, etc., it is difficult to know what is left where. - As a result, even important tasks are omitted or neglected. 3.### Waiting for review and human verification becomes bottleneck . - Using AI speeds up the process, but it is easy to get bogged down in the "final review is human" step. 4.### Tasks with no deadlines (improvements you want to make in the future) - GTD-like Inboxing is in progress, but it is bloated with no specific due dates or priorities.
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1.### Urgent task support . - First, the tax return (T0109) must be completed with the highest priority. Since it is an essential task right before the deadline, it will be handled intensively from midnight to the next morning.
2.### Slimming down the backlog . - Check "Vague Tasks" and add "Objectives/Completion Conditions/Next Steps" if necessary, and make a concrete or close decision. - Future tasks with no due date can be separated in a "someday/maybe list" style and organized in weekly reviews to reduce confusion.
3.### Introduction of centralized and small automated information pathways . - First, build a prototype of the Slack thread extraction tool (T0128) → aggregate information around Slack → gradually implement the flow of having AI summarize from there. - To the extent possible, continue the experiment of "paper memo → AI input at night (T0098)" to verify the take-up from paper memo to AI.
4.### Clarification of measures awaiting review . - The "timing" and "granularity" of the review should be determined at the outset, such as human review of AI-generated tasks/codes collectively at a weekly pace. - Try a system of checking a week at a time to avoid a large number of fragmented reviews.
5.### Formulate an internal case study for the "Spread the Word AI" demonstration in May . - MVID data analysis (T0008, T0009) and Slack analysis tool experiments (T0128, T8577) will be turned around in small pieces. - The first priority is to deploy to Azure and link existing data, and create a minimum showable form by May.
[** Sample schedule (from 3/17 to early next week)
This place was rejected because it was a reckless plan in addition to being wrong about the day of the week in the first place.
Supplemental
Task Embodiment.
periodic look back.
Gradually expand automation.
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If you do the above,
next: Weekly note 2025-03-24~2025-04-05
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