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.
AI made the thinking part faster, but you still spend hours turning "the response" into an actual file. WorkBuddy closes the execution gap with a team of AI experts that helps produce sharpened, ready-to-deliver results.
Here's how it works:
Pick an expert team.
Describe what you need in plain language.
The team gets to work in parallel, dividing the task, cross-checking each other, and synthesizing everything into sharpened, ready-to-deliver results.
Not sure which way to go? You can also bring in another expert opinion to guide the direction.
Why you want WorkBuddy:
A team, not a bot: experts cross-check each other into sharpened results
100+ Pre-built Expert Teams: across every domain, call them like a colleague, not a tool
You stay in control: bring in another opinion and guide the direction, at any point
Parallel by default: multiple agents run in parallel, no waiting in line
Real deliverables: finished files in your folders, not trapped in a chat
To celebrate our launch, we're giving the first 300 users who come from Product Hunt an extra 500 Credits. First come, first served. Claim by July 20 🎉 Claim here → [link]
What can it do that Claude can't? In other words, what's the reason of existence of this product? Internet is already a graveyard of so-called productivity agents those grant a number of monthly credits, which usually burns out with a few play aiming users to upgrade in the loop hole.
I like that you're showing how people can guide the AI instead of pretending it always knows the right answer. What happens if two of the AI experts recommend different approaches? Does the system try to resolve that on its own, or does the user decide which direction to take?
I’d like to have Workboddy take over my browser to perform repetitive tasks, but I’m very concerned about the potential leakage of my account details, payment information, and personal data. How do you handle the uploading and protection of personal information?
For enterprise teams, governance will matter. Are there admin controls for which files WorkBuddy can access, where outputs are saved, and what context is remembered?
@sherina_chen Congrats to the entire team on this success. Looking forward to see how impactful the product will be as time goes on. how does your product deal with agents working cross function? in a situation where 2 different agents could possibly do different task but have 2 identical task they can both do, which of the agents will take up the task?
I hope you do understand my question?
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.
How does the pricing work for the AI expert team — is it a flat subscription or do you pay per agent or per task?
Used it for a quick report draft and the multi-agent angle actually helped, gave me three different angles in like a minute instead of one generic answer. Slightly clunky UI but the results felt noticeably more useful than my usual single-prompt tools.
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.
Congrats on the launch! 🎉 I really like the "team of AI experts" concept. How do you decide which specialists get assigned to a task? Is it automatic or can users customize the team?
The part I'd poke at: asking in the brief is prompt-level, and in my runs a plain-language 'keep the dissent' held up fine until the context got long, then the minority take quietly vanished maybe 1 in 5. Is preservation actually enforced in the synthesis step, or is it the model choosing to honor the instruction each time? That gap is what decides whether I'd trust it on anything with a real decision attached.
This looks like a huge time-saver! I've been struggling to coordinate different AI tools for my projects, so having a unified team of AI experts sounds ideal. How exactly do the different AI "experts" communicate with each other within the platform?
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?
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.
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?
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:
The disagreement-survival question Omri raised is the one that bit me hardest building this stuff. What worked for me wasn't a smarter merge prompt, it was giving each expert a flag field the synthesizer literally can't drop, so a minority-of-one objection still renders in the final output. The moment I let the combine step weigh objections by confidence, the useful contrarian take got averaged into mush. Do your experts write to a shared structured object, or hand back prose the synthesizer re-reads and re-summarizes?
Love the idea of experts cross checking each other instead of just one model guessing alone, that debate before delivery feels like the real innovation here.
“Produce sharpened results faster with a team of AI experts”
WorkBuddy launched on Product Hunt on July 5th, 2026 and earned 399 upvotes and 86 comments, earning #1 Product of the Day. 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.
WorkBuddy was featured in Productivity (656.2k followers), Artificial Intelligence (473.7k followers) and Tech (628k followers) on Product Hunt. Together, these topics include over 419.2k products, making this a competitive space to launch in.
Who hunted WorkBuddy?
WorkBuddy was hunted by Chris Messina. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how WorkBuddy stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Chris Messina
Hey Product Hunt,
I'm part of the team that built WorkBuddy.
AI made the thinking part faster, but you still spend hours turning "the response" into an actual file. WorkBuddy closes the execution gap with a team of AI experts that helps produce sharpened, ready-to-deliver results.
Here's how it works:
Pick an expert team.
Describe what you need in plain language.
The team gets to work in parallel, dividing the task, cross-checking each other, and synthesizing everything into sharpened, ready-to-deliver results.
Not sure which way to go? You can also bring in another expert opinion to guide the direction.
Why you want WorkBuddy:
A team, not a bot: experts cross-check each other into sharpened results
100+ Pre-built Expert Teams: across every domain, call them like a colleague, not a tool
You stay in control: bring in another opinion and guide the direction, at any point
Parallel by default: multiple agents run in parallel, no waiting in line
Real deliverables: finished files in your folders, not trapped in a chat
To celebrate our launch, we're giving the first 300 users who come from Product Hunt an extra 500 Credits. First come, first served. Claim by July 20 🎉 Claim here → [link]
Try WorkBuddy today 👉 workbuddy.ai