Teamily AI - Your personal agent, agent teams & people in one messenger
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The human-agent platform where people and always-on agents get work done together in one unified, context-aware space. Unlike single-user personal agents, Teamily AI enables multi-user, multi-agent teamwork. Built on an AI-native messenger, it connects people, agents, docs, meetings, calls, workflows, and business systems to automate office work and customer service. Agents become real teammates with persistent memory, proactive intelligence, and continuous self-improvement. Free to get started.
Replies
Getting a finished research task back in the group thread sounds handy. Everyone can see the result and ask questions together. Nice work!
@marianna_tymchuk right, many of our enterprise customers teach each other the usage of AI in the way you described.
@marianna_tymchuk thanks Marianna!! that's exactly the moment we designed for, the result lands where everyone already is, so the questions happen together instead of in five separate DMs 😄 and if you want to go further, Agent Loop lets you build your team's own workflow on an open canvas!
Keeping feedback attached to the exact draft would help in a shared chat. The next person joining the conversation needs to know which version everyone reviewed.
@oleksii_sekundant Yeah, otherwise the first thing you have to ask is “Wait, which draft are we talking about?” Keeping the comments with the version people actually reviewed would save a lot of scrolling.
@oleksii_sekundant Oleksii yes!! and late joiners are the real test 😅 if they can't tell which version got the thumbs-up, the whole thread is just noise to them. keeping feedback pinned to the exact draft is one of the things I care most about getting right
Our project context is always scattered between chat, docs, and task tools. Keeping it together would help.
@irving_ai Yeah, the task says what changed, but the reason is buried in a chat from two weeks ago. We built Teamily AI around the idea that when you tag an agent, you shouldn’t have to piece that story together for it every time.
@irving_ai @michellegv Irving yes!! this is exactly the pain we started from 🙌 chat, docs and tasks all in one room, so the context stays with the team and your agents always know the backstory. would love for you to try it and tell us how it feels!
The human approval flow will probably decide how comfortable teams feel using this.
@ibitekukie Yeah, if an agent drafts a client reply in the group chat, the team can read it and decide what actually goes out. I’d want that to feel as easy as asking a coworker, “Can you take a look before I send this?”
@ibitekukie Agree Chenyue 💯 Approving has to feel lighter than doing it yourself, otherwise nobody hands anything off. I think of it like asking a coworker "can you look before I send this?", quick, clear, and you know exactly what you're saying yes to.