Unify
Meet Your First Fully Virtual Colleague 🧑💻
487 followers
Meet Your First Fully Virtual Colleague 🧑💻
487 followers
Hire AI colleagues you onboard just like real people — with live screenshares, docs, and calls. They have their own computer, work across your team's channels, and get better the longer you work with them. Built with a fully custom tech stack for realtime responsiveness (not OpenClaw) ⚡
This is the 3rd launch from Unify. View more
Unify
Launched this week
Hire AI colleagues you onboard just like real people — with live screenshares, docs, and calls. They have their own computer, work across your team's channels, and get better the longer you work with them. Built with a fully custom tech stack for realtime responsiveness (not OpenClaw) ⚡
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Launch Team / Built With
Unify
We've been heads down for the past ~10 months building (custom stack, not OpenClaw) 🧑💻, and we’re excited to finally launch our virtual colleagues into the wild! 👀 Sign up with $50 free credits if you want to dive right in.
These are not limited to single-user assistants, but are actual colleagues that can integrate into the team — with their own name, their own personality, their own full computer, and their own ever growing memory and skills 🔧
You onboard them exactly how you'd onboard any new hire. Share your screen and walk them through your tools, send onboarding docs, record voice notes, hop on a call, or whatever is easiest. They learn how your team works, and they continually reflect, ask follow up questions, and improve over time 📈
We built our own stack from scratch for this (it's not built on top of OpenClaw, though we’re big fans 🦞). The reason is simple: making something that genuinely feels like a colleague, with a fully realtime “there in the room with you” experience — required a fundamentally different architecture.
Your new colleague can be simultaneously using their own computer, talking to you via voice on a meet, following your own live guided screenshare instructions, and consolidating all of these into new skills on-the-fly, just like a person can. They can be interrupted and redirected at any point in time, and they’re continually chunking all of their experience into reusable skills. People don’t perform tasks in “prompt then execute” windows, and neither should your virtual colleagues.
We're really happy with the feedback we’ve received thus far. We’ve helped many teams streamline processes which would have taken hours to “prompt” into a traditional AI tool or manually written skill, because these tasks are hard to fully articulate upfront. They require incremental judgment, context, and working with people to really learn and internalize.
If you're curious to see how human your virtual teammate can be, then give it a try with this free credit link! Would love to hear what people think (both positive and negative) - thanks! 🫶
The custom tech stack for real-time responsiveness is a bold move—building outside of the OpenClaw ecosystem is no small feat! @dan_lenton , I’m curious how that low-latency architecture translates to more 'physical' workflows.
Since these colleagues have their own virtual computers, can they interface with hardware-specific environments? For example, could I onboard a Unify colleague to monitor IoT device clusters or manage remote hardware via a web console without the typical 'lag' you see in standard agents? Would love to hear how the custom stack handles that high-frequency data.
Unify
@imdc on a technical level the main difference is the that the tool loops are fully asynchronous, downward steerable (`ask`, `interject`, `pause`, `resume`, `stop`), upward steerable (`notify`, `request_clarification`) and concurrent (run multiple tasks at the same time, with the same entity/personna in command). The OpenClaw skills are still discoverable via web search and git cloning though, and so the ecosystem (or any other OS ecosystem for that matter) still remain a git clone away, and can be ingested directly into their skills/knowledge for future interactions.
In terms of monitoring IoT device clusters, yes so long as there is some REST API package or similar that you can authenticate them with, then you should be good to go! Just the same as how you'd authenticate a person to do the same really :)
Let me know if you have any other questions!
"Gets better the longer you work with them" is a real value prop but also a real commitment - you're investing time onboarding something that might not pay off for weeks. How do you handle the gap between when someone starts and when it actually feels useful? And I'm curious how that plays out when the team itself changes. A real colleague picks up on shifts naturally - new person joins, priorities shift, processes evolve. Does the AI recalibrate on its own, or does someone have to actively re-onboard it every time something significant changes? Congrats on the launch!
Unify
@jared_salois I should clarify, it's not like it knows nothing on the fist day, it just doesn't know the unique way you and your team work, and the more intricate parts of the tasks it needs to do. It's still very good on day 1 (powered by opus-4.6 under the hood). As for recalibration, yes it continually "refactors" and reorganizes all of the internally acquired skills and reusable functions. It therefore drifts as the team drifts. Let me know if there's anything else I can clarify, thanks! :)
The onboarding model is what sets this apart. Most AI tools expect you to fully articulate the task upfront, but I love the gap @Unify bridges: learns through the same process a real colleague would. Tried the hiring flow and the "there in the room with you" experience comes through immediately. Excited to see where this goes.
Unify
@olamide_od Thanks so much! Let us know if you have any other feedback as you continue to work with your new teammate 🤖
Unify
So excited this is finally out in the wild! 🎉
We've spent the last few months building the brain of this thing — the part that lets your colleague hold a voice conversation with you, run a task in the background, and accept corrections mid-flight without starting over. Getting that to feel natural required rethinking a lot of assumptions about how agents should work.
Most tools in this space are still "prompt it, wait, get a result." What we think we've built is closer to how you'd actually work with a person — you can redirect it, ask how it's going, share your screen and walk it through something live.
Genuinely can't wait to see how people's first onboarding sessions go. Drop a comment if you try it — any feedback (good or bad) is more than welcome ❤️
Unify
Really excited to see @Unify launch on Product Hunt today! 🚀
This has been a huge amount of work from the team over the past few months, and it’s exciting to finally share it. The idea of AI colleagues that learn how your team works - with memory, their own computer, and real onboarding is something I think people need to experience firsthand.
A big part of that comes from moving away from the typical "single loop, one tool call at a time" setup, and instead making things fully async and steerable. That means you can interject, pause, or adjust tasks in real-time while they're happening, and the system manages multiple nested actions concurrently without losing context or restarting from scratch.
If you get a chance to check it out, I’d genuinely love to hear what people have to say. 🫶
What about the confidentiality of sensitive data?