I run a small agency and we’ve been building client websites for years. The work is hands-on, repetitive, and time consuming. We tried platforms like Replit and Lovable, but the output didn’t hold up for production use. Things were missing, editing was limited, and reliability was an issue.
Out of that frustration we built Zylo, an AI platform that generates production-ready web apps. It is not instant like Lovable (our builds take roughly 15 minutes on average depending on complexity) but we focused on completeness and reliability instead of speed.
What Zylo does
Generates full stack Next.js projects including frontend, backend, and database setup
Built-in domain management so you can bring your own or purchase directly inside Zylo
E-commerce system that feels like a lightweight Shopify with product management and categories
Stripe integration through API connection for payments
How it works under the hood
You interact with an AI chatbot that coordinates several agents following the same processes we used manually when building sites
Agents generate code, proofread, and check for missing assets or design issues
Any build, runtime, or TypeScript errors are automatically caught and repaired before deployment
A final agent handles production deployment and gets the project hosted and ready for a domain connection
Editing
We put a lot of effort into the editing side. There is a live Monaco editor that renders the site. You can click directly on any component, section, or entire page and pass that as context back to the agents for regeneration. This was something we found lacking in other tools and wanted to solve.
What’s next
We are currently working on a visual workflow builder. Think of something similar to GoHighLevel’s UI, but instead of manually wiring things, the AI fills in the code and functionality behind the scenes. The idea is to let people map out flows visually and have them actually run in production.
We would love feedback from the HN crowd. The big trade-off we made is slower build times in exchange for more complete and reliable projects. Do you think that trade-off makes sense, or would speed always win out for you?
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Show HN: AI that trades speed for reliability in site generation · HackerTrans
Built-in domain management so you can bring your own or purchase directly inside Zylo
E-commerce system that feels like a lightweight Shopify with product management and categories
Stripe integration through API connection for payments
How it works under the hood You interact with an AI chatbot that coordinates several agents following the same processes we used manually when building sites
Agents generate code, proofread, and check for missing assets or design issues
Any build, runtime, or TypeScript errors are automatically caught and repaired before deployment
A final agent handles production deployment and gets the project hosted and ready for a domain connection
Editing We put a lot of effort into the editing side. There is a live Monaco editor that renders the site. You can click directly on any component, section, or entire page and pass that as context back to the agents for regeneration. This was something we found lacking in other tools and wanted to solve. What’s next We are currently working on a visual workflow builder. Think of something similar to GoHighLevel’s UI, but instead of manually wiring things, the AI fills in the code and functionality behind the scenes. The idea is to let people map out flows visually and have them actually run in production. We would love feedback from the HN crowd. The big trade-off we made is slower build times in exchange for more complete and reliable projects. Do you think that trade-off makes sense, or would speed always win out for you?