Build powerful AI automations by simply describing what you need. No coding. No dragging nodes. No workflow builders. No technical expertise. Chatverse designs, builds, tests, and deploys production-ready automations, making advanced automation accessible to everyone.
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Maker
📌
Hey Product Hunt! 👋
I'm excited to share Chatverse with you today.
We built Chatverse because we kept seeing the same problem: automation platforms are incredibly powerful, but they're still designed for technical users. If you don't know APIs, workflow builders, or how to connect dozens of tools, creating an automation can quickly become overwhelming.
Our goal was simple: make automation accessible to everyone.
With Chatverse, you don't build workflows manually. You simply describe what you want in plain English, and Chatverse designs, builds, tests, and deploys the automation for you.
No coding. No APIs. No dragging nodes. No technical expertise.
Whether you're automating emails, documents, spreadsheets, CRM tasks, social media, or other business processes, Chatverse takes care of the technical work so you can focus on the outcome.
We're still at the beginning of our journey, and your feedback will help shape what's next.
A few questions I'd love your thoughts on:
What's the biggest repetitive task you'd like to automate?
Is there an app or integration you'd love to see next?
What would make Chatverse indispensable for your workflow?
Thanks for checking us out and supporting our launch. We're looking forward to hearing your thoughts! 🚀
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Described a basic Slack-to-Notion task in plain English and it spun up a working flow in under a minute, which genuinely surprised me. Slick experience for anyone who dreads dragging nodes around.
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Maker
@elelcizehr93509 Thanks! That's exactly the experience we were aiming for. 😊
Most automation tools assume everyone is comfortable dragging nodes, configuring APIs, and debugging workflows. We wanted non-technical people to simply describe what they need and let the AI handle the rest.
Really glad to hear it felt smooth!
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How does it actually handle more complex multi-step automations when you only describe them in plain language — does it ask clarifying questions or just take its best shot and deploy?
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Maker
@ayazklkylvj Great question! For complex multi-step automations, Chatverse first analyzes your request and, if anything is ambiguous or missing, it asks clarifying questions before building the workflow. It then generates the automation, validates the flow, and lets you review it before deployment. During execution, it can handle conditional logic, branching, and runtime decisions based on the data or responses it receives.
If you'd like, give Chatverse a try yourself! I'd also be happy to give you a personalized demo and walk you through a real use case—just send me a message. 🚀
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How does it handle more complex multi-step automations when one part of the chain depends on something unexpected at runtime?
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Maker
@englhsrevz8oe Great question! Chatverse supports conditional logic, branching, retries, and fallback paths for situations where something unexpected happens at runtime. If an API fails, required data is missing, or a condition changes, the workflow can automatically take an alternative path or retry instead of failing completely.
Feel free to try Chatverse yourself! If you'd like, I'd be happy to give you a personalized demo and build a real automation with you. 🚀
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A built-in cost estimator before deployment would be super helpful, something that shows the expected API spend per run based on the steps the automation takes. Makes it way easier to decide if a workflow is actually worth scaling before you hit production.
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Maker
@nazls86733 That's a fantastic suggestion we've actually been discussing something very similar.
Since some automations use AI models and third-party APIs, showing an estimated credit and API cost before deployment would help users understand what each run is expected to cost before they publish it.
It's definitely on our roadmap. Thanks for the idea! 🚀
Described a basic Slack-to-Notion task in plain English and it spun up a working flow in under a minute, which genuinely surprised me. Slick experience for anyone who dreads dragging nodes around.
@elelcizehr93509 Thanks! That's exactly the experience we were aiming for. 😊
Most automation tools assume everyone is comfortable dragging nodes, configuring APIs, and debugging workflows. We wanted non-technical people to simply describe what they need and let the AI handle the rest.
Really glad to hear it felt smooth!
How does it actually handle more complex multi-step automations when you only describe them in plain language — does it ask clarifying questions or just take its best shot and deploy?
@ayazklkylvj Great question! For complex multi-step automations, Chatverse first analyzes your request and, if anything is ambiguous or missing, it asks clarifying questions before building the workflow. It then generates the automation, validates the flow, and lets you review it before deployment. During execution, it can handle conditional logic, branching, and runtime decisions based on the data or responses it receives.
If you'd like, give Chatverse a try yourself! I'd also be happy to give you a personalized demo and walk you through a real use case—just send me a message. 🚀
How does it handle more complex multi-step automations when one part of the chain depends on something unexpected at runtime?
@englhsrevz8oe Great question! Chatverse supports conditional logic, branching, retries, and fallback paths for situations where something unexpected happens at runtime. If an API fails, required data is missing, or a condition changes, the workflow can automatically take an alternative path or retry instead of failing completely.
Feel free to try Chatverse yourself! If you'd like, I'd be happy to give you a personalized demo and build a real automation with you. 🚀
A built-in cost estimator before deployment would be super helpful, something that shows the expected API spend per run based on the steps the automation takes. Makes it way easier to decide if a workflow is actually worth scaling before you hit production.
@nazls86733 That's a fantastic suggestion we've actually been discussing something very similar.
Since some automations use AI models and third-party APIs, showing an estimated credit and API cost before deployment would help users understand what each run is expected to cost before they publish it.
It's definitely on our roadmap. Thanks for the idea! 🚀