Build, run and debug long-running or complex workflows in natural language. Inspect and debug each step with the visibility and control production workflows need. Edit and resume where you stopped. OpenAI or Anthropic accounts needed Predictable and deterministic AI: Craft workflows and routines with the consistency and observability needed for production, with multimodality supported between steps. Tip: Use ChatGPT desktop for ++ awesomeness Start building your routines today at trytoone.com
Congrats on your launch @matheus_paranhos1 . The website looks great and the concept looks promising.
I really like the idea of repeatable workflows created once and the visualizing it as a graph is just chef's kiss as it makes things easy to understand for non tech people.
A few thoughts I had:
I like the concept of the AI babysitting the workflow but the video also mentioned watching each task as it gets completed. The thing I like about Claude's agentic workflows is that I don't need to watch it work, I can just specify what I need to get done and how I like it to work so it only interrupts me when it is stuck or when I need to review so I'd probably not like to babysit and watch my own workflow in action. Kind of like a CI pipeline, I want to see where things broke as my tasks might take time to finish. Perhaps you meant it only the first time in the video so ignore if that is the case.
I kind of do some similar things using Claude's md files and I ask it to visualize the workflow in a mermaid diagram. It doesn't look as cool as your UI but it does get the job done, what would you say are some other benefits beyond the UX? I do see the UX as a big benefit for non tech users.
Do we have control about which model your tool will use once I give it access to my Anthropic key? This task probably doesn't need a sophisticated model for deep reasoning as this could have a cost implication.
From a UX perspective:
One thing I'd like is the ability to drag and drop nodes to edit the workflow than chatting again as I feel AI agents sometimes rework everything while dragging and dropping could take me seconds
Adding a voice feature would be great as well not only from an ease of use perspective but imagine for use cases like accessibility and IOT integrations.
I hope this was helpful. Great idea, amazing execution on the website and I'm looking forward to playing with it when it goes live.
Well done and all the best.
Good luck with the launch, guys! What’s your biggest takeaway from today?
Congrats on the launch! Not entirely within my scope but curious who the key demo is and how this might differentiate from similar offerings in the market?
So the next set of users in the upcoming era, as everyone has been anticipating, will be agents. For them to work in a common space, toone is super important. Just dropped my email on the waitlist. Excited to try the product. Congrats on the launch as well, team!
@matheus_paranhos1 Congrats on the launch ! Workflow automations are what we all need today =)
How’s the accuracy with long and complicated ones? Does the accuracy stay consistent when there are lots of steps?
@matheus_paranhos1 - this looks to be a very interesting project. The UI seems simple and clean, I appreciate you are offering free early access, but I am curious has to what @Toone will cost and what model(s) will you be offering: one-off (life-time) payment, subscriptions or pay-as-you go?
Best of luck with the launch.
Hey there, Product Hunt! Matt here, creator of Toone 👋
I rely heavily on AI in my day-to-day work as an entrepreneur and professional, from content creation and outreach to coding. Toone grew out of a problem I kept running into: How to craft workflows more easily, how to make sure they run well and smooth?
Getting an AI automation to do something useful takes work. Then a new project comes in, your needs change, and... you’re back to reworking prompts, rearranging steps, or building the whole thing again from scratch.
I found myself spending more and more time customising the automations that were supposed to save me time. That’s what I started to obsess over: how do I make these workflows reliable without making them a pain to change?
That’s why I started building Toone: to make complex AI workflows easier to create and adapt, with more control over how they run, more predictable execution, and the visibility to understand what’s actually happening before trusting them with production work.
It's been a huge time saver for me, and I hope it is for you as well 👌🙌
Thank you! and have fun on this friday!
About Toone on Product Hunt
“Build complex, reliable AI agent workflows & routines”
Toone launched on Product Hunt on September 18th, 2026 and earned 131 upvotes and 24 comments, placing #12 on the daily leaderboard. Build, run and debug long-running or complex workflows in natural language. Inspect and debug each step with the visibility and control production workflows need. Edit and resume where you stopped. OpenAI or Anthropic accounts needed Predictable and deterministic AI: Craft workflows and routines with the consistency and observability needed for production, with multimodality supported between steps. Tip: Use ChatGPT desktop for ++ awesomeness Start building your routines today at trytoone.com
Toone was featured in Mac (103.7k followers), Artificial Intelligence (478.9k followers) and OpenAI Day (38 followers) on Product Hunt. Together, these topics include over 133k products, making this a competitive space to launch in.
Who hunted Toone?
Toone was hunted by Matheus Paranhos. 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.
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This seems useful in heavy subagent tasks. Whats the comparative token usage lets say for claude code multi agents and using Toone??