Launching today
ZooWork
The AI agent delivery platform for FDEs and domain experts
126 followers
The AI agent delivery platform for FDEs and domain experts
126 followers
ZooWork lets you build, deploy, and deliver AI agents to teams or clients — experts start in the Builder UI, developers ship with the Managed Agent API. Turn your expertise into AI solutions built for real business operations.
Free Options
Launch Team / Built With
EneyProactive AI for Mac. Free test, 20,000 credits.
Promoted
How experts decide what parts of their workflow should become automated versus stay human driven?
@nolanpierce03 We think expert knowledge is the most important ingredient in FDE delivery and enterprise agent adoption. Experts know what good work looks like, which exceptions matter, and when a person needs to step in. Start by automating repeatable steps around that knowledge, then test a small workflow and refine the boundaries.
I love the product concept.
Imagine a founder could build an agent that drafts investor updates from approved company notes, then share it with teammates for review, that will be very helpful.
Hi Product Hunt! 👋
I'm Ning, founder & CEO of ZooWork. Some of you may remember us as ZooClaw from our launch here in April.
Since then, we've heard one thing over and over, and felt it ourselves: there are countless tools for building AI agents, but almost nothing for delivering them. Everyone has an agent that works beautifully on their laptop. Almost no one can hand it to a client, a team, or a paying user as a reliable service.
That gap changed what we build, and our name along with it. ZooWork is our answer: an agent delivery platform for forward-deployed engineers, developers, and domain experts, with the whole path from build to production in one place.
Build: Describe what you want in the no-code Builder, or stay in the coding agent you already use (Claude Code, Codex, and more) and ship through our Managed Agent API. Setup is one line:
Deploy: One click to the cloud, from a single agent to a multi-agent pipeline. Agents cold-start in 1–2 seconds, and you pay nothing while they're idle.
Deliver: Reach users where they already are: a shareable link, an API, or directly in WhatsApp, Slack, and more.
Under the hood, we handle the hardest part: the runtime. Every agent runs in its own managed, isolated sandbox, so what you ship keeps working without you babysitting servers. You own the interface, the customers, and the business. We run the agents.
A few of my favorite agents running on ZooWork today:
A proposal deck studio: drop in your notes, get back a client-ready deck. Built by a consultant, not an engineer.
A personal stylist: describe the occasion, get a complete look and the reasoning behind it.
A home layout designer: snap a photo of your room, get a new layout with an interior designer's eye.
If you've ever built an agent that died on your laptop because there was no good way to share it, I'd love to hear the story. And tell us which coding agent or channel you want next. Your answers go straight into our roadmap.
Thanks for being here on launch day! 🙏
@ninghu glad to see it plays nice with Claude Code and Codex straight out of the box. congrats
@ninghu @priya_kushwaha1 Thanks, Priya! 🙌 We wanted people to keep building with the tools they already love. Give it a spin with an agent you’ve built in Claude Code or Codex—once you can hand someone a working service instead of setup instructions, it’s hard to go back.
@ninghu The proposal Deck agent sounds useful. Can users build their own custom agents without coding?
How do you agent performance over time?
An HR consultant could package a workshop intake questionnaire into an agent and share it with clients before the session.
@genedai Exactly—and the consultant’s experience is what makes that intake valuable: knowing which questions to ask, what to follow up on, and what needs a deeper conversation. That’s the expertise we want to help turn into a usable agent. Try it with your own questionnaire—we’d love your feedback! DM me to get a coupon code if you want to take a try.
An operations advisor could package a process diagnostic checklist into an agent and let clients run an initial assessment before a workshop.