Most AI SaaS apps break when APIs fail. I built one that doesn’t.
I didn’t start NexusAI to build “another AI tool.” I started it after hitting the same frustrating problem over and over:
✅ Everything worked in dev…
❌ Then an AI provider failed in production.
Requests time out. APIs go down. Apps stop working. And almost no one is solving this.
So I rebuilt my system around reliability first:
Fallback system automatically switches between OpenAI, Anthropic, and a backup engine
Full-stack SaaS starter (FastAPI + Next.js)
Auth, multi-tenant support, analytics dashboards, Stripe-ready payments
NexusAI isn’t just a demo — it’s something you can actually launch and depend on.
I’m curious:
Have you ever run into AI API failures in production? How are you handling reliability in your apps?
Repo/Demo available if anyone wants to check it out, feel free to visit my github
https://github.com/Rash54/nexusai-saas-starter
This resonates hard. I'm building Norynth Neural (domain-specific AI for engineers) and ran into the exact same problem — API fails, context drops, user gets a blank response.
Your fallback system between OpenAI, Anthropic, and a backup engine is smart. We're currently using Llama 3.3 70B with custom routing, but fallbacks are next on the roadmap.
Quick question: How do you handle context preservation when switching between providers mid-conversation? That's been our biggest headache.
Also curious — what's your threshold for deciding when to fallback? Latency? Complete failure? Partial response?
Thanks for sharing the repo. Will definitely check it out. 💜