Hacker News new | ask | show | jobs
by politician 7 hours ago
Hey Joe, I think the solution to your problem is in your post. You said that when you were tracking your time it killed your idea, and that when you stopped tracking your time you became unfocused.

Try letting AI classify your idea into a time-tracking bucket for you, and to generate a beginning of day report describing how you spent your time yesterday.

If you write down your idea, then it'll be harder to forget it. You can let the AI figure out where to put it and fix it the next day if it's wrong.

If you look at where you spent your time yesterday each morning, then hopefully it'll help you figure out a better place to spend your time today.

You can easily set this up with any harness. Just copy and paste my comment and tell the AI to make some skills.

1 comments

I don't disagree that that might help. But I think this is more of a realization that I want to use AI... less?
Hahaha, ok yeah I see where you're coming from.

It helps me to think about it like a different type of function call. We've got normal functions, async functions, there's a Go project that turns HTML templates into "templ" functions. JSX functions. LLMs are just a new `infer` function type.

A few years ago if I suggested that you should write a program to help you with time tracking, I imagine that might get a few responses with pointers to some existing open source projects. In a few years, someone might point to support for infer functions in nightly rust.

In other words, I think that we're dealing with really poor packaging right now and it's stressful, and that in the future this will all be normalized and integrated into our existing workflows.