Four LLM Workflows That Actually Survive Production

Dev.to AI
Generative AI AI Safety

Most teams waste time trying to ship a magical assistant before they have one boring workflow that makes money or saves hours. The production wins usually come from narrow tasks, hard guardrails, and obvious success metrics. If you are responsible for getting an LLM feature past the stage, these are the patterns I have seen hold up when traffic, messy input, and annoyed users show up. 1. extraction beats conversation when you need reliability A lot of business data is trapped in PDFs, emails, tickets, forms, and chat transcripts.