Building AI Agents That Actually Work (Not Just Demos)

Most AI agent s look impressive. They answer questions, generate content, and automate simple tasks. ** But once you try to use them inside a real business workflow, things start breaking.** This is where the gap exists. The vs Reality Gap In s: Clean input Clear output No edge cases In real systems: Messy data Incomplete inputs Unexpected user behavior AI alone can’t handle this reliably. AI Agents Need Structure A working AI agent is not just: LLM + Prompt It’s like: Input validation Decision layer (AI) Workflow execution Error handling Logging Without these, your system is fragile.