5 AI Agent Error Handling Patterns That Keep Your Agent Running at 3 AM

Last year, a deployment went sideways. An AI agent was running a data enrichment pipeline: pull records from an API, map fields into a schema, write to a database. Every API call returned 200 OK. The agent's dashboard showed green across the board. The agent reported success on every step. Six hours later, a downstream team flagged the data. Half the field mappings were hallucinated. The agent had confidently mapped company_revenue to employee_count , invented values for missing fields, and writ