Agentic Ai

Providing AI Services for Business Growth | Automation • Chatbots • AI Tools 🧑🏻‍💻

[Agentic Ai @agenticai6788]

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[Crypto Solana Gems @1z11_]

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https://t.co/zTabnvpy6n

THE COIN KILLER. 🐱💀

[NASMA ELLIS @nasmaemad94]

Okay, but imagine having your research agent, coding agent, and content agent all working on the same project without manually passing context around. I'd love to see that.

[SCARLETT AI✨ @Beast_85]

I have like five different AI tools open every day. Getting them to work together instead of constantly switching tabs would be nice lol

[SYNTAX TITAN @Caromuffet]

Wait, so I can bring my own agents into a shared room and have them work with other people's agents? That's actually a pretty interesting idea

[UMER AI @umer_ai_]

It would be interesting to see how this works with teams using very different agent setups.

[Tahir Ai @TahirAi786]

Keeping the context organized as the room gets busier will be the interesting challenge.

[ZARA NISA @Zaranisa88]

Sometimes the best way to explain a task is just to talk it through.
You don't necessarily want to stop a meeting, open another interface, write a carefully structured prompt and explain the whole thing again.

Being able to speak to your agent in the room where the team is already working feels like a much more natural workflow.
I'm interested to see how https://t.co/hAjuJu34kq develops this voice-first side of collaboration.

[Henry Cavill @Henry_cavil0]

AI collaboration shouldn't stop at one person and one assistant. The next step is having multiple people bring their own agents into a shared environment where everyone can contribute.

[Mr bean @Bean_i_9]

Bug triage is a good example of where agents can help without needing to own the final decision. They can reproduce issues, organize reports and sort things into a room database. The team can then decide what's real, what's important and what actually ships. I like that https://t.co/awllIt7uW0's example keeps that human decision point in the workflow. Automation is useful. Knowing who makes the call is just as important.@Chi_Wang_

[SAIRA 🎀 @_Itx_Saira_]

One thing that gets old quickly with AI workflows: explaining the same project context over and over. The background is in one conversation, the latest decision is in another, and the actual deliverable is somewhere else. https://t.co/vPw7SFgkOg's shared-room idea tackles this from a different angle. Bring the people and their agents into the same space, so the work has a common place to develop.@Chi_Wang_

[SHARI @shari1345]

A distributed team doesn't just need a place to talk. It needs a place where the work can keep moving when someone leaves the conversation. Imagine a project room where the team discusses the next milestone, each person's agent helps with their part, and the shared plan stays accessible to everyone. https://t.co/GUhBfWhgpo is an interesting take on making agents part of the team's working environment rather than just individual assistants.

[James Carter @9DDDG]

There's a meaningful difference between having your own AI assistant and having that assistant work alongside the agents your teammates bring.

A shared room makes collaboration possible without making every agent belong to the same person. I especially like the ownership principle here: each agent works for its own person, within that person's permissions.
That boundary deserves as much attention as the collaboration itself.

[𝐄𝐦𝐞𝐫𝐬𝐨𝐧_𝐣𝐞𝐬𝐲 ♡ @Emr_jesy]

We've spent a lot of time making AI agents smarter, but not nearly enough time thinking about how they work together. https://t.co/8Mb1meMZtE takes an interesting approach by giving different people's agents a shared room instead of keeping every interaction isolated

[AI Growth Hub @AIGrowthHub11]

Imagine asking your agent to handle research while your teammate's agent works on the presentation, both operating around the same project context. That's a much more interesting workflow than passing files and summaries back and forth all day.

[MELIS AI ✨ @_Melis_143]

The voice interaction part caught my attention. Can multiple agents participate in the same conversation, or do you have to address them individually?

[Lyr Aura @Lyr_Soul]

The interesting part for me is the shift from personal AI assistants to shared AI workflows. Curious to see how this works when a whole team starts using it.

[ZELIA @zelia_ai_verse]

We're a small team, and everyone already uses different AI tools. The idea of bringing our agents together in one place is pretty appealing. Might be worth testing on our next project.

[Leo Barrett ⚡ @tysyrrr]

We're considering using https://t.co/N8jPtJDv2q to coordinate support workflows. One agent could categorize incoming issues, another could research solutions, and the team could review everything in a shared room.

[JACK WILSON @jackwilson_76]

The idea sounds simple, but I suspect making multiple agents work together reliably is much harder than it looks.

[Aysel @itx__aysel]

Not gonna lie, the thought of joining a meeting where half the participants are AI agents is both exciting and a little weird lol.

[Mira Nexus ⚡ @Mirhaws]

This is where things could get interesting. Not just humans collaborating with AI, but AI agents collaborating with each other