Show HN: I built a visual AI workflow builder because debugging prompts is hard https://bit.ly/3HsK9J7

Show HN: I built a visual AI workflow builder because debugging prompts is hard Hey everyone! I built this because I was tired of manually handling customer support for my web app and couldn't get an AI system to handle requests reliably. I tried different AI tools to help with support tickets, but when they handled requests incorrectly, it was impossible to determine why, and even harder to figure out what I needed to change to improve the system. I wanted to break down my logic of how the AI should think through the problem step-by-step, but everything had to be crammed into one prompt. Without the volume of clean training data needed for fine-tuning, I was stuck with prompt engineering guesswork. What Chainix does: You drag and drop steps into a visual flowchart. Each step gets its own inference instructions, and based on the output, it branches to different next steps. The AI can also pause mid-flow to call your functions or check variables, then continue. This lets you visually map out exactly how you want the AI to think through the problem (like a flowchart). I built it with flexibility in mind - you can create something as simple as a two-step workflow or build complex custom logic with multiple branches and conditions. The key: when something goes wrong, you can see exactly which step failed. Instead of one big black box, you have a chain of smaller, debuggable pieces. My support flow might classify the ticket, look up account info, check for known issues, then craft a response. When the AI did something wrong, I could see "oh, this step classified the ticket incorrectly" and just fix that inference step (or add a new one). It's handling ~60% of my support requests reliably now (and correctly ignoring the rest), so I'm very happy with it! The biggest win is that I can actually see how the AI is reasoning through each step, so fixing issues is straightforward instead of guesswork. This works for any workflow involving text interpretation and action - content moderation, document processing, lead qualification, etc. You can try it at https://bit.ly/4mFLIm2 - would love to hear if other people have hit this same wall with AI tools! Also curious what other workflows people might want to build with this approach. https://bit.ly/4mFLIm2 August 12, 2025 at 01:53PM