Launching today
WorkBuddy
Produce sharpened results faster with a team of AI experts
506 followers
Produce sharpened results faster with a team of AI experts
506 followers
Tencent WorkBuddy is an AI agent built for everyday office work. Make a request. Guide your AI expert team. Bring in a second opinion. Get sharpened, ready-to-use results.
The "finished files in your folders, not trapped in chat" line is the strongest part for me. That last mile is where a lot of AI tools still feel unfinished.
Curious how much control users have over the final deliverable format. Can someone define a preferred structure or template once and have future expert teams follow it?
WorkBuddy
@sergbmw Thanks, that line is basically the whole reason we built this, so glad it landed. On control: you steer the format in your brief, so you can ask for a PDF, a 9-slide deck, a specific section structure, whatever you need, and the experts build to that.
And for the "define it once and reuse it" part, that's exactly what our Skill system is for. You can save a preferred structure or template as a Skill, describe it once in plain language (literally something like "I want the report in this format, save it as a Skill"), and future runs just follow it. So you're not re-specifying the format every time. You can still tweak it on the fly for a one-off, or let the saved template drive it by default. The goal is that the last mile lands in your format, not a generic one.
@sherina_chen That control model is much clearer now. Having the structure live in the brief feels like the right place for it, because it keeps the output tied to intent rather than adding another settings layer. Curious whether teams can save reusable briefs/templates for recurring deliverables.
Tencent's name on this raises an immediate data question for anyone considering it for actual office work. Where is the processing happening, what data residency options exist, and is there an enterprise tier with clear answers to those questions before someone puts sensitive work documents through it?
WorkBuddy
@ansari_adin Fair question. Tasks run in an isolated sandbox and you control what it can touch, so you keep full ownership of your data. On the enterprise side it runs on Tencent Cloud's infrastructure, which covers permission management, runtime auditing, and compliance support. For data residency specifics, happy to connect you with the team directly since it does vary by region and use case.
WorkBuddy
@luki_notlowkey Right now it's user-driven. In the same chat you switch between experts on the fly, and if you summon an Expert Team the specialists collaborate directly so you don't hand-assign each piece. You can also build your own if none fit. Smart recommendations are on the roadmap, but for now you're the one calling the shots.
Congrats on the launch. The part I'm most curious about is data boundaries rather than the synthesis logic - if I spin up a team with a research expert and a legal expert on the same brief, do they see each other's full working context and any files I uploaded, or is each expert scoped to only what it needs for its part? Multi-agent setups are great until one expert quietly has more access than the task calling it actually required.
WorkBuddy
@galdayan Access is something you grant, not something that's open by default. Tasks run sandboxed, and reaching your files needs your explicit permission, so nothing gets touched unless you've said so.
Have been kicking the tires on this one today and the multi-agent setup is honestly pretty clever. Got a messy brief turned into a clean summary and follow-up email in one go. Curious how it handles more technical docs.
WorkBuddy
@yiitwcuf That summary-plus-email-in-one-go flow is the sweet spot. Technical docs hold up better than you'd think since you can pull in an expert tuned for it, though I'd still skim the output on really dense specs. Let me know what you throw at it.
I like the idea of bringing in another expert opinion at any point. In real work, the problem is often not generating content, but knowing whether the direction is actually the right one.
WorkBuddy
@orman_canida Exactly! That's the core idea behind our expert system.
Instead of asking users to become AI experts, we believe AI should bring the right expertise and workflow to every task, so people can focus more on their work instead of figuring out how to get the best results~
Poked around with it for a bit and the "second opinion" angle genuinely caught me off guard in a good way, it actually feels like having a teammate double-check your work instead of just another chatbot agreeing with everything you say. Results came back clean enough to drop straight into a doc.
WorkBuddy
@berkay139616 Thanks so much for giving it a try~
It's great to hear the "second opinion" experience stood out. We built our experts to contribute different perspectives and help users arrive at more professional, well-rounded results—not just generate another similar response.
Really appreciate you taking the time to share your experience!