12 Interest Score
5 Discussions
0.42 Engagement
Aug 2025 Launched
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Drag-and-drop AI workflows you can actually debug. When something breaks, see exactly which step failed instead of guessing what went wrong with your prompts or context.

What the Community Said

Hey Product Hunters! I made this thing called Chainix. Here's the problem I had, and how I solved it: 🤔 Problem I was drowning in customer support for my website and tried using AI tools to help. But here's what kept happening: the AI would give terrible responses, and I had absolutely no idea why. Was my prompt bad? Did I give it the wrong context? Was there some weird edge case I didn't think of? Does the AI just not know how to handle this type of request? Every AI tool I tried was basically

— [REDACTED]

Love this visual AI workflows with real debugging is a killer combo. Curious how you trace tokens across steps, mock external calls, and diff runs to isolate failures. We’re live on Product Hunt today too would love if you gave it a quick look.

— [REDACTED]

Hey, Congrats on going live, left support, and a quick peek at ours would be amazing.

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This is truely awesome! The visual workflow builder for debugging AI is such a smart idea – I've been banging my head against the wall with black box AI models for ages. Being able to pinpoint exactly *where* things go wrong instead of guessing is a game changer, right? How customizable are the steps for different kinds of text processing?

— [REDACTED]

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Frequently Asked Questions

Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.

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