Tagged: production
14 posts. Prepare AI features and prototypes for real users. Explore operating costs, access controls, testing, and the failures teams need to address before scaling.
Gemini 4 Argon: should your team switch?
MCP security: control what your agent can send
OpenAI DevDay: what changes for your business?
When to replace an LLM classifier with Jev
How to get a vibe-coded app ready for customers
Check your vibe-coded app for data exposure
When to build or buy an AI feature
When an AI feature is not worth building
How to calculate an AI feature's monthly cost
When RAG is the wrong tool for your feature
Why your AI answers are getting worse
Why your AI feature is confidently wrong
What an AI agent needs before production
