Every startup can build a demo.
Then comes everything else: authentication, databases, hosting, monitoring, email, analytics, real-time infrastructure. None of it makes the demo, and every team rebuilds it anyway.
Aram Shatakhtsyan spent nearly a decade scaling a startup and kept hitting the same thing. Too much engineering went into infrastructure that looked nearly identical from one product to the next.
Modelence is a production-ready framework and cloud platform for the era of AI-generated software, where developers spend their time on product logic instead of rebuilding the same foundation.
Generate a full-stack app from a prompt. Auth, database, and production deploys wired in from day one. Inspect, edit, and own the code.
Deploy it to Modelence Cloud with production infrastructure, monitoring, scaling, and a custom domain, without assembling a stack of separate services.
Prototypes are easy. Production isn't.
We filmed this episode with Aram on January 23. Since then, the AI App Builder hit #2 Product of the Day on Product Hunt, and their new Mobile Builder launched in July.
"Build production-ready apps with AI"
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00:57 β The scaling challenges that inspired Modelence
01:22 β Why every startup keeps rebuilding the same infrastructure
02:01 β Why TypeScript became the foundation for AI-native development
03:06 β Building the TypeScript equivalent of Ruby on Rails
03:45 β Why infrastructure matters more than another AI app builder
04:18 β The difference between prototyping and production software
05:14 β Why today's frameworks weren't designed for AI coding agents
06:03 β Designing AI systems with guardrails instead of prompts
07:16 β The vision for production-ready AI applications
08:07 β What Aram hopes developers build with Modelence next
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