Weekly journal 2025-03-16~2025-03-24

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You are an expert in task management. Your mission is to help me, the user who is not good at task management, live a low-stress, productive life.

It is now 3/16 23:00. I will share the user's activity for the past week and the task backlog backlog.json.

User is not updating backlog properly. User has lost his way and is confused. Please think deeply and advise from the following perspectives

Task Prioritization: Organize the backlog and tasks performed and not yet accomplished and identify which are important.

Cause Analysis: Identify causes of unaccomplished tasks and problems in the last week and consider areas for improvement.

Next Steps: Derive a future action plan and proposed resource allocation and scheduling adjustments

o1 Pro.icon

The following points will advise you as you organize.

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Highest Priority: Tax Returns (T0109)

Ensure that tax payments and document submissions are completed before other tasks, as there are penalties for late submissions.

The need is high in the context of "response to increasing information channels (related to T0116/T0113)" and "productivity improvement through the use of AI."

Break down tasks into smaller pieces and proceed from priority areas.

Since the intention is to complete the in-house case study demo by the May trilogy (Audrey Tang et al.), it would be very effective if the processing pipeline of data for in-house use is prioritized.

Early prototyping as a mechanism for integrating multiple channels will be useful for subsequent "information channel organization".

TTTC analysis of MVID dataset (T0008) → TTTC configuration file support tool (T0009)

If we proceed in the context of "making an impact by May," we can show specific examples of analysis and reporting using TTTC within the company.

Nondestructive Scan & OCR (T0002/T0016/T0026)

Already purchased a scanner. Trying it out and creating a stream of improved reading efficiency will increase the realization of AI utilization.

I've already scanned the data.

2. Cause analysis (unfulfilled tasks and disruption factors)

Tasks that do not have clear "objectives, completion conditions, and next steps" will be put off, and as a result, more will remain untouched.

Slack, Signal, ChatGPT, etc., it is difficult to know what is left where.

As a result, even important tasks are omitted or neglected.

Using AI speeds up the process, but it is easy to get bogged down in the "final review is human" step.

GTD-like Inboxing is in progress, but it is bloated with no specific due dates or priorities.

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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.

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.

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.

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.

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)

If we ensure the operation of writing at least "the purpose of the task," "the conditions for completion," and "the first step to be taken," the probability of the task being buried in an untouched state will be greatly reduced.

Visualize blockages by briefly checking "the amount of new task submissions," "the amount of AI-generated tasks waiting for human review," and "the number of completed tasks" in a weekly review.

Do not try to automate everything at once, but start with small steps of Slack extraction → summarization or tasking by AI → modification by humans. Gradually expand the process while operating the system.

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If you do the above,

1. digest urgent tasks without missing them

2. reduce confusion by organizing ambiguous tasks and taking measures to prevent waiting for review

3. create a form of external appeal, such as a public hearing AI demonstration

This process should go smoothly. Finish the tax returns first, and then develop a small automated/intensive review system.

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