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Slow and Steady: An AI Assistant That Leaves You Less to Do

A note on your phone. A reminder in a chat. A file saved somewhere because you'll “deal with it later.” None of these looks like much on its own. Put them together, though, and catching up becomes a chore. The Hacktoberfest “Slow and Steady” theme is a good excuse to think about that kind of proble

dev.toSonntag 18:58 · 25.10.2 Min. Lesezeit
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A note on your phone. A reminder in a chat. A file saved somewhere because you'll “deal with it later.” None of these looks like much on its own. Put them together, though, and catching up becomes a chore.

The Hacktoberfest “Slow and Steady” theme is a good excuse to think about that kind of problem. What would an AI assistant look like if its main job were to leave you with less to do?

Here's one idea: a quiet little assistant that turns scattered notes into a short daily catch-up. This is still a concept. There isn't a working app, demo, or set of results behind it yet.

You would give it the notes you want help with. It would pull out what needs attention, what can wait, and anything too vague to act on.

“Ask about the repair quote on Friday” is fairly clear. “Sort out the booking” isn't. A useful assistant should notice the difference. It could flag the second note for a quick check instead of guessing a date or deciding what booking you meant.

Each suggestion should come with the original text beside it. Nobody should have to dig through a pile of notes just to find out why an assistant put something on their list.

And the list needs to stay short. Turning ten messy notes into a beautifully formatted wall of text hasn't really helped.

For this idea, the aim would be to run an open-weight model on the person's own computer. No particular model has been picked or tested yet.

Being able to change the model and adjust how it handles notes would be useful. Someone with an older laptop might need a different setup from someone with more powerful hardware. People also have different ideas of what deserves a reminder.

Keeping personal notes on the device would be another goal. That would need checking in the actual implementation, including any software around the model. Running a model locally alone doesn't prove that the whole app keeps everything private.

The real test would be ordinary: is reading and correcting the digest quicker than going through the notes yourself?

If it misses an important task, invents a deadline, or needs constant babysitting, a fast response isn't much of a win. Those mistakes would need to count when measuring whether it helps.

It should also stop at suggestions. Preparing a reminder is one thing; sending a message or deleting a file is another. You should get to decide when something actually happens.

There's plenty to figure out before this could work well. Even a small pile of notes can contain missing context, repeated tasks, and plans that have already changed.

But the goal can stay simple: open a short catch-up, check it, and get on with your day. A few fewer things to keep in your head would be a worthwhile result.

Quelle: dev.to (dev.to). Original öffnen