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.










Congrats WorkBuddy team. How does WorkBuddy decide which experts should join a task? Is it based on the prompt, the selected team, or user history?
WorkBuddy
@blink_66 Thank you! Right now, users can choose the experts they need based on the actual task and then launch the collaboration. The task prompt gives WorkBuddy the context, and the selected team determines which experts are available to join.
We’re also working on expert recommendations powered by the prompt and memory, so WorkBuddy can suggest the right experts automatically and help people get all kinds of work done faster and better.
WorkBuddy
@blink_66 Right now, it's user-driven. You choose the experts based on your task. We've organized them into categories (Content Creation, Investment Analysis, Legal Consulting and more) so it's easy to find the right fit, and you can also search by title or create your own custom expert. Smart recommendations based on prompt and memory are on the roadmap!
Triforce Todos
100+ pre-built expert teams is a lot, BTW how do you actually find the right one fast? Is there search, or do you browse by category?
WorkBuddy
@abod_rehman Both! You can search by title if you already know what you need, or browse by category like Content Creation, Research, Investment Analysis, Legal Consulting and more. And if none of them quite fit, you can create your own custom expert. It's user-driven for now, so you stay in control of which expert handles what. Smart recommendations based on your prompt and memory are on our roadmap, so it'll get even easier over time.
WorkBuddy
@thys_beesman Hi~Great question!
It mainly depends on the complexity of the task. For straightforward requests, a single expert is usually the fastest and most efficient choice. But for longer, more complex tasks—especially those involving planning, research across multiple sources, or several execution steps—a team of experts can work together, with each contributing its own expertise to different parts of the workflow.
Our goal is to help users get the best results in the most efficient way. WorkBuddy supports both single-expert and expert-teams workflows, so feel free to give them a try and see which works best for your tasks!
the "bring in a second opinion" framing is a nice touch. most AI-work tools stop at one answer, and leaning into an expert-panel idea instead is more how real teams actually decide things. curious how you keep the experts from just agreeing with each other. congrats on the launch.
WorkBuddy
@alex_watson2110 Thanks so much for the thoughtful comment!
That's something we care about a lot. Our experts are designed with different workflows, curated domain knowledge, and specialized skills, so each one can contribute its own perspective to a task.
We're continuously improving them, and we'd love to hear your feedback if you give WorkBuddy a try~
WorkBuddy
@etiennegarcia Thanks a lot! Yes—users can jump in anytime. You can refine direction, adjust scope, or switch/bring in experts mid-way without restarting the workflow.
We designed it to stay flexible and collaborative throughout the process.
Would love your thoughts if you try it!
When two agents are running in parallel and one goes off track, does anything catch that before it bleeds into the final output? Or do you only find out at the end?
WorkBuddy
@boyuan_deng1 Thanks for your great question. We don’t simply merge every agent output as-is.
Today, the main safeguard happens in the review/synthesis layer, where each expert’s output is checked against the original task, context, and other experts’ inputs. If one expert goes off track, that part should be discarded, down-weighted, or explicitly flagged rather than quietly bleeding into the final answer.
We also agree that catching drift only at the end is not enough, so we’re working on stronger in-process checks where experts can flag issues earlier and trigger correction before the final synthesis.
Interesting idea! I'm pretty set with using Claude Code for everything, and I think most people by now use what they are used to. How will you convince users to switch and try WorkBuddy instead of what they are used to?
Also cool logo, here's a free static QR code that goes to your website that I made for you to use if you want:
WorkBuddy
@mjohnson42 Ha, thanks for the QR code, that's a genuinely kind thing to do. And I'm not going to try to pull you off something that already works for you, that's usually a losing pitch anyway. The people we're really built for aren't devs living in the terminal, it's the folks next to them doing business work: reports, decks, research, analysis. Different job than writing code. So it's less "switch your daily driver" and more "when you've got a work deliverable to produce and don't want to babysit it step by step, this is worth a look." If that day comes, I'd love to hear what you think.