Inbox Processing Workflow - GTD-style system to keep your inbox at zero, with AI classification of notes to projects, resources, or someday/maybe lists.
Incomplete Tasks Review Workflow - weekly review that analyzes your tasks, identifies gaps, detects duplicates, and generates a focused "plan of attack" with your highest-priority actions.
Both workflows combine classic productivity principles (GTD, weekly reviews) with AI assistance to reduce cognitive load and maintain system trust. They use command-line tools (find, ripgrep) to analyze your vault and generate processing recommendations in an easy-to-review card format.
Use at your own risk. Validate each command before executing it. It is strongly recommended to use a version control system (Git) in your Obsidian vault to visualize and revert changes made by the agent.
Any suggestions to improve these workflows are appreciated.
I'd enjoy seeing a video of this being used in the intended way and to good effect (because I'm confident that my conception of how it works is inaccurate).
(I missed adding my question and now I don'tknow how to edit my previous reply)
What I'm curious about and something I'm struggling with myself: are you feeling that the productive uplift of offloading work to an LLM limits the gain of managing a second brain like this?
I agree, the LLM support we lose some level of manual work, maybe that is useful to be more familiar with the information, although I am not sure if that is a critical step. The LLM gives us management support. We can use a command to collect incomplete tasks, the LLM is doing that with extra steps, and it shows us the collected information, but in the end, we decide which tasks to prioritize.
Thanks for sharing! Easy to follow instructions.
I can see the PARA structure and perhaps a bit of Zettelkasten in the peripheral (but that might be my own bias).
I'm using a similar system (here's a link) https://blog.hampusadamsson.com/blog/How%20I%20Manage%20Note...
And also a custom plugin to do parts of the LLM (here's another shameless link) lifting: https://github.com/hampusadamsson/modai
Inbox Processing Workflow - GTD-style system to keep your inbox at zero, with AI classification of notes to projects, resources, or someday/maybe lists.
Incomplete Tasks Review Workflow - weekly review that analyzes your tasks, identifies gaps, detects duplicates, and generates a focused "plan of attack" with your highest-priority actions.
Both workflows combine classic productivity principles (GTD, weekly reviews) with AI assistance to reduce cognitive load and maintain system trust. They use command-line tools (find, ripgrep) to analyze your vault and generate processing recommendations in an easy-to-review card format.
Use at your own risk. Validate each command before executing it. It is strongly recommended to use a version control system (Git) in your Obsidian vault to visualize and revert changes made by the agent.
Any suggestions to improve these workflows are appreciated.
I'd enjoy seeing a video of this being used in the intended way and to good effect (because I'm confident that my conception of how it works is inaccurate).
(I missed adding my question and now I don'tknow how to edit my previous reply)
What I'm curious about and something I'm struggling with myself: are you feeling that the productive uplift of offloading work to an LLM limits the gain of managing a second brain like this?
I'm not sure if I am understanding your question,
Is it something like: if we delegate management, we could lose awareness of the knowledge contained in the notes?
If that is the question,
I agree, the LLM support we lose some level of manual work, maybe that is useful to be more familiar with the information, although I am not sure if that is a critical step. The LLM gives us management support. We can use a command to collect incomplete tasks, the LLM is doing that with extra steps, and it shows us the collected information, but in the end, we decide which tasks to prioritize.