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1. reacha+(OP)[view] [source] 2026-01-26 12:13:34
I've been thinking about this very thing the last few days. "secretary in my Mac" to be specific. An ever running daemon that uses an LLM model for smarts, but pretty much do as many dumb things deterministically as possible. 1. Fetch my calendars(Fastmail, work Google Calendar, Couple's calendar at Cupla) and embellish it with routine tasks like pickup/drop kids, and give me a Today view like this https://zoneless.tools/difference/london-vs-new-york?cities=...

2. Access to my TODO list on Apple Notes and basically remind my ADHD brain that I ought to be doing something and not let it slip because it is uninteresting.

3. Have access to all models via API keys I configure and maintain a "research journal" of all the things I go to LLMs for - "research of bike that fits my needs" whatever and figure out if there needs to be a TODO about them and add if I say yes.

4. View my activity as a professional coach and nudge me into action "Hey you wanted to do this at work this year, but you haven't begun.. may be it is time you look at it Thursday at 3 PM?"

5. View my activity as a mental health coach and nudge me like "hey you're researching this, that and blah while X, Y and Z are pending. Want me to record the state of this research so you can get back to doing X, Y and Z?" or Just talk to me like a therapist would.

6. Be my spaghetti wall. When a new idea pops into my head, I send this secretary a message, and it ruminates over it like I would and matures that idea in a directory that I can review and obsess over later when there is time..

As you see, this is quite personal in nature, I dont want hosted LLMs to know me this deeply. It has to be a local model even if it is slow.

replies(2): >>james_+Ka >>chaost+rs
2. james_+Ka[view] [source] 2026-01-26 13:29:53
>>reacha+(OP)
I like this, but would note that each of this is effectively nagging you to do something.

I wonder if the real unlock is moving the task forward in some way. “I know you were interested in X, and the research approach petered out, here and some new approaches we could try:”

“You’ve got two kids’ birthdays next week, shall I order some legos?”

replies(1): >>shmoog+6m
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3. shmoog+6m[view] [source] [discussion] 2026-01-26 14:32:50
>>james_+Ka
I've started using Claude code to review my linear tasks, add / propose new tags/labels and flag if it's a programming task (and if so flesh out requirements so I can toss it to an agent). It really helps me to just toss everything into it and see what I've got.

I'm actually going to take it further and use clawd to check Jira, linear, slack, and Apple reminders and help me to unify and aggregate them - as I'll often remember and record a reminder on Siri - and kind of ping me about these and adjusting dates when they're overdue so nothing slips through too past due

4. chaost+rs[view] [source] 2026-01-26 15:04:48
>>reacha+(OP)
> this is quite personal in nature, I dont want hosted LLMs to know me this deeply. It has to be a local model even if it is slow.

Apple has a big opportunity with this.

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