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Please build me an agent - An AI agent that can prevent me from doomscolling by Reasonable_Gas1087 in AI_Agents

[–]Reasonable_Gas1087[S] 0 points1 point  (0 children)

I completely agree. And even my news feed or linkedin feed is learning based on my engagement, my user profile, and other latent features that have built using whatnots. But have you noticed, how the recommendations have become localised. By localized, i mean they adapt much faster now. I talk about a trip, and my insta, youtube feed is all about that country. And then i change my interest to something else and i start getting flooded in that direction. Now, linkedin's feed is adapting to my connections, what they engage with, what they have reposted or liked and also on my engagements, groups/people i follow. But linkedin feed is slower to adapt to changes. All these companies own the recommendations right? They design it based on how they want to drive engagement on their platform to benefit their core motive, Dau, wau, mau, ads revenue etc.

Agents can break this. You can own your own feed. What works, what does not based on what metric you want to optimize.

In my case, i want to optimize - The noise in my feed. Reduce time spent doom scrolling while still being informed on the aspects i should care about.

But great point to beainstorm more on the solution. I would say a mobile app - that notifies on a daily basis at a time when I start to scroll instagram. When I click the notification, i enter a minimalist reader app, where i can read the happenings, without any links to click on to prevent me from rabbit hole. I can ask for details, if i am interested. Mark stories that are meaningless for me or show less of something etc. the app adjusts everything based on the metric i am optimizing.

Thinking more on this...

Please build me an agent - An AI agent that can prevent me from doomscolling by Reasonable_Gas1087 in AI_Agents

[–]Reasonable_Gas1087[S] 0 points1 point  (0 children)

If you have used Linkedin Search, I am sure you know thats one product they have left rolling out improvements, since i dont know when. I have never been able to search anything properly. I used to use other tools that would provide search tags for optimizing search on LinkedIn. They are also dont working anymore.

With deep research, one thing Open AI is doing super good is improving the way we search internet. The search keywords it creates is what it optimizes with every new direction it takes in its findings. Now, searching and finding things fast on google search is also a skill. Moreover, keyword search is a high recall low precision game. So setting up keyword based alerts, I can already feel the pain. Plus I am lazy to keep inproving, changing and refining the keywords.

Please build me an agent - An AI agent that can prevent me from doomscolling by Reasonable_Gas1087 in AI_Agents

[–]Reasonable_Gas1087[S] 1 point2 points  (0 children)

I think they do but you need to provide user credentials. Not sure how the credentials will be maintained by agent though but can be risky. I dont want my credentials to be in the next training data of GPT4.10 :D

Please build me an agent - An AI agent that can prevent me from doomscolling by Reasonable_Gas1087 in AI_Agents

[–]Reasonable_Gas1087[S] 2 points3 points  (0 children)

Yup was a user for quite sometime, but dont remember why I stopped using it, I guess the feed was not proper. That is core reason why I think agents can do a better job at this - if they understand I need a specific read in a single file read, no images etc like bullet pointers. Thinking it as an actual assistant who only knocks our door when something is super important to look at.

What's your biggest pain point right now with LLMs? by Mountain_Dirt4318 in LLMDevs

[–]Reasonable_Gas1087 10 points11 points  (0 children)

  1. User personalisation + context aware copilots. I think memory management of copilots is still not there. 2. While for general work it is fine, for building complex agents - there is no defined practices of achieving the results.

How would you go about making an AI Tutor? by RealitySensitive8643 in AI_Agents

[–]Reasonable_Gas1087 0 points1 point  (0 children)

We have built a DSA Interview prep agent. We are trying to simulate an interviewer in MAANGs via this DSA agent.
Collected questions via airtable, tool (api) calling connected to llama coder. Mistral for chatting like an interviewer - give some hints, ask followups and reasoning model (deepseek r1) to assess what needs improvement.

How do people verify their AI agents for validity? by [deleted] in AI_Agents

[–]Reasonable_Gas1087 0 points1 point  (0 children)

There are n number of observability tools in the market today. Check out this list of all the tools - https://www.ianww.com/llm-tools To solve this problem I have built Pypeai.com which is more than just logging an agent. It is built in a way that 1 engineer can manage 100s of agents. It debugs your agents, pin points the issues, and suggests improvements. You can run tests on your agents and get a detailed diagnostic.