LLM Status vs Production Grade AI Starters

Track where every AI model is used across your apps, and get warned before one is deprecated or retired.

Browse production-grade AI starters with hardened prompts, prompt-injection defenses, server-side AI routes, rate limits, safe error handling, and deployment-ready...

About LLM Status

Track where every AI model is used across your apps, and get warned before one is deprecated or retired. Run mm for the full terminal dashboard: it scans the current repo on launch, then you arrow through every model it calls, browse the registry, and see what's new, live. Both pull the signed registry from cdn.llmstatus.ai once, then run offline. The Here and What's New tabs read straight off the signed registry, no account, works offline.

About Production Grade AI Starters

Browse production-grade AI starters with hardened prompts, prompt-injection defenses, server-side AI routes, rate limits, safe error handling, and deployment-ready guardrails. Some templates use their own authentication patterns, so the shared focus is prompt hardening, secret safety, and safer AI behavior in production. Some projects use their own authentication approach, so the shared hardening focus is protecting prompts, credentials, and AI behavior before these starters move into production. A Next.js RAG chatbot starter that lets users upload PDFs or text, create OpenAI embeddings, store vectors in Pinecone, retrieve source chunks, and answer questions with clickable citations.