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com2kidyesterday at 8:35 PM4 repliesview on HN

IMHO no one is really pioneering. A lot more is possible than what is being done. I wrote a blog post about useful agents in a business setting (https://www.generativestorytelling.ai/blog/posts/useful-corp...) that highlights AI being proactive.

I mean table stakes stuff, why isn't an agent going through all my slack channels and giving me a morning summary of what I should be paying attention to? Why aren't all those meeting transcriptions being joined together into something actually useful? I should be given pre-meeting prep notes about what was discussed last time and who had what to do items assigned. Basic stuff that is already possible but that no one is doing.

I swear none of the AI companies have any sense of human centric design.

> pull relevant context from Slack, Notion, and your codebase, then provide you with a prioritized list of actions.

This is an improvement, but it isn't the central focus. It should be more than just on a single work item basis, more than on just code.

If we are going to be managing swarms of AI agents going forward, attention becomes our most valuable resource. AI should be laser focused on helping us decide where to be focused.


Replies

paulteehanyesterday at 9:28 PM

THANK YOU. I keep thinking this as well. I'm rolling my own skills to actually make my job easier, which is all about gathering, surfacing, and synthesizing information so I can make quick informed decisions. I feel like nobody is thinking this way and it's bizarre.

a1j9o94yesterday at 8:43 PM

Disclaimer I work at Zapier, but we're doing a ton of this. I have an agent that runs every morning and creates prep documents for my calls. Then a separate one that runs at the end of every week to give me feedback

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lsdmtmetoday at 2:32 AM

You should check out https://pieces.app/ ive been using it for months and I am surprised I have never seen anyone ever talk about it.

It does exactly what you are asking for, and it can do it completely locally or with a mixture of frontier models.

irrationalfabyesterday at 10:01 PM

Agreed. It is ironic that in the AI race, the real differentiation may not come from how smart the model is, but from who builds the best application layer on top of it. And that application layer is built with the same kind of software these models are supposed to commoditize.

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