r/Agent_AI

Hi everyone,

This is my first post here so apologies if I broke any rules with this post!
So that said, here's the discussion that I wanted to start here: I am currently working on a POC project in my company that aims to explore the feasibility of Agents orchestration using Skills.

The idea here is that discovering all sub-agents using MCP (already done) eats up a lot of context (as you know) since these are loaded at start and are always part of the context.

Hence why we thought about Skills as a way to perform "universal" (individual) agents discovery (which would be applied to new ones that would be created in the future) and a way to "lazy load" the (individual) agent tools when needed (when it is called through a Skill for example).

The end goal would be to build a product that could leverage multiple (existent Agents that are running at scale and exposing MCP servers/tools) to answer a user request (that cannot be done using a single agent but rather by doing back and forth between these agents combined).

The only constraint here is that the exploration is done using Microsoft Agentic Framework even though we all know Skills here are a language agnostic concept.

Anyway, I am looking for ideas/suggestions/anything that can spark a discussion/brainstorming on my side as I've already managed to create skills and chain call them for a simple multi-agent purpose (just a simple textual case not really the agents that I mentioned above).
Thanks you!

I am looking for advice and feedback on how to combine these three pages, into a single coherent narrative that will appeal to both CTO/CDO/Founders for our agents + agentic offering we have launched.

In theory, our offering is pretty straight forward, we built a lot of custom Agents for our enterprise clients. I am not sure the message is coming across cleaning in these pages:

1. We generalized those agents and now offer them out the box for smaller clients, new clients, and individuals who want to use them

2. We launched a new do it yourself agent builder for enterprise clients who want to build their own custom agents

3. We offer consulting services to help enterprise clients build their own custom agents

4. We just launch this week composability for combining those agents into a single agentic flow.

I want to combine these three pages into a single coherent narrative that will appeal to both CTO/CDO/Founders for our agents + agentic offering we have launched.

I currently have 3 pages that describe this offering.

1. Our overview page that explains our out of the box agents, and our agent builder. I designed this page entirely in Figma, and I personally like it alot. However, would love to get other peoples thoughts on it.

{See comment below for link}

2. We have our internal agents page that exists within our app, this one I had more room to try different things, as it was in the app as a stand alone page. In many ways it is very strong, and has a lot of good ideas, but it is also doesn't fit the overall style of the website.

{See comment below for link}

I built a really interesting visualization for the composability feature, that I think could be a really good hook to draw people in using Claude Design (just launched mobile version of it today). However, I just posted it as is, so there is a little disconnect between its style and the rest of the site.

{I would love to know what the community thinks of it, and I should have been clear about this yesterday, but mobile for that page was not ready. It is ready today. So, if you check it yesterday on mobile, and you had a broken page, I have updated that as of today.}

{See comment below for link}

Anyway, any thoughts or feedback anyone has would be greatly appreciated. And yes, as I mentioned to some people yesterday, we are still streamlining our exact offering around agents and how to position it. My sense, is most people on this page, have gone through these challenges. Would love you feedback, reply to this post, DM, whatever works best for you. Obviously, would be more than willing to give free access to the agents to anyone who wants to try them out if they could help me with this.

I built HiMe, a personal health agent that ingests your wearable data in real time and proactively delivers insights around the clock. You can interact with your agent in an OpenClaw-style experience via Telegram or Lark.

The system is supported by a local AI agent server, along with an iOS companion app and an Apple Watch app, enabling seamless real-time syncing of wearable data. I also created a pixel-art cat, HiMeow, which acts as your personal health digital twin within the iOS app. When you’re tired, HiMeow appears sleepy; when you’re well-rested, it becomes lively and energetic.

I finally got a good laptop to start making money. I have never had a laptop worth over a couple hundred and lately I waste so much time just waiting for it to load. This was $1400 and I am ready to pursue my goals now that it’s possible. Any advice going forward in regarding to keeping this laptop running g in mint condition?! Should I buy Norton or mcfaee?? Thank you!!

It feels increasingly clear that we want agents to be autonomous, continuously running, and cheap enough to use all the time.

Do you think that future is mostly local agents running 24/7 on personal devices, or mostly cloud-based agents?

And has anyone here actually run agents continuously for days or weeks? Curious to hear real-world experiences: cost, reliability, limitations, and whether it was actually useful.

Hey all, I'm new in this journey, non technical, but I want to adopt new tools to get more things done this year. Can be in any aspects, email marketing, lead outreach, ads making... as long as it truly deliver results. Would be great if you can share how you set up and use them

For context, here's what I'm using so far:

• Claude: my LLMs for drafting, deep research, and writing.
• Gemini: I use it for content ideas and creating images mostly, but with openAI image 2, things may change
• Exa, Clay, Manus: I use them to find and enrich leads quicker
• Granola: I use this to take meeting notes
• Saner: I use it to manage notes, tasks, and calendar

What's the most helpful and easiest AI you've used so far?

I’ve noticed a weird double standard lately. People act like giving an AI agent API access is a system-ending security risk, but they’ll happily install a random productivity Chrome extension that has permission to read and change all their site data. We’ve been giving random SaaS integrations full access to our Gmail and Slack for years, yet the moment an AI is involved, everyone starts panicking.

I get that the fear comes from the autonomy factor, the idea of an AI making decisions while you’re asleep feels jarring. But realistically, a poorly coded script or plugin is just as capable of nuking your database. I get that this is anecdotal, but my agency has been moving our workflow over to a dedicated SEO agent setup using QuickCreator, and it’s been smooth sailing so far. At the end of the day, I feel like you have to treat an agent exactly like you’d treat any other enterprise software. Do your due diligence and set preventative

I guess my question is, what makes security risks in AI agents that much different than the typical software we use then? Why are people so panicky over it?

Hey everyone,

I’ve been using a lot of AI tools (ChatGPT, Claude, etc.) and kept running into the same issue:

I never knew which one would actually give the best answer.

So I’d end up opening multiple tabs, pasting the same prompt over and over, and comparing manually. It worked… but it got pretty repetitive.

So I built something simple for myself.

It lets you enter one prompt and see responses from 40+ AI models side-by-side.

What surprised me most is how different the answers can be depending on what you’re asking. For things like:

• writing
• coding
• explanations

…the “best” AI isn’t always the same.

I recently opened it up for others to use (it’s $10/month mainly to cover costs), but honestly I’m not here to hard sell anything.

I’m more interested in learning:

• Do you actually compare AI tools, or just stick to one?
• Would something like this save you time, or not really?
• What would you want to see in a tool like this?

If anyone’s curious, I can share the link — but I’d genuinely appreciate feedback more than anything.

Thanks 🙏

Over the last 48 hours I've noticed a substantial decline in functional ability in the model. It fails to use the basic tools that I've built for it in my repo that it previously used to one-shot new problems and features in under 20 minutes. Yesterday, and all through today it has repeatedly fumbled basic tasks and failed to understand how to use basic tools even when given highly explicit directions in the prompt (far more explicit than I needed to give it before).

What makes me go from "suspicious" to "confident that it's been throttled" is that it's not taking the time to remember or understand assignments. It defaults to guessing blindly even when told not to. It's been getting stonewalled by medium-difficulty problems.

There are entire classes of already solved/implemented features/bug-solutions that already exist in my code base that it fails to utilize in it's problem-solving even when pointed at them. The sudden drop in quality is large enough absolutely undeniable from my perspective.

Introduce AgentsMeetRL, a GitHub awesome list repo.

Not just prompting, but actually using reinforcement learning to train agentic LLMs.

273 repos across 16 categories. 327.8k total stars. To my knowledge, this is the first awesome list focused on RL for LLM agents, and it’s been actively maintained for a year.

It spans everything from base frameworks to specialised agents, covering memory, self evolution, and environment design. Each entry includes the paper, GitHub repo, affiliation, star count, and key technical choices such as scaffold design, RL algorithm, reward type, and agent behaviour mode.

PRs and issues are very welcome if something’s missing or could be improved.

For the past few weeks I've been doing my pre-market prep almost entirely through conversation. I open Claude, describe what I'm looking for — something like "show me large caps with RSI under 35 that are still above their 200 SMA and have increasing volume" — and it just… does it. Gives me names, explains the setups, flags the ones with weird fundamentals or recent news.

I have an MCP set up that feeds Claude real-time market data — price, RSI, MACD, Bollinger Bands, ATR, support/resistance levels, candlestick patterns, short interest, fundamentals, the whole thing. So it's not hallucinating numbers, it's actually pulling live data and reasoning over it.

I'm still doing my own analysis and making my own calls — Claude is not placing trades for me, let's be clear about that. But having a research assistant that actually understands what I'm asking and has access to real data? It's like having a junior analyst who never sleeps.

Curious if anyone else here is using AI as part of their trading workflow. What does your setup look like? Would love to compare notes.

Can I build agent or use the existing tools for my coding journey to help me out and what are the agents available for that and if I ever decide to build them myself, should I consider building one or just use existing tools