Building AI Automation Workflows with a Unified Model Access Layer

AI automation workflows are becoming common in developer products. A team may use AI to summarize tickets, classify leads, draft internal reports, enrich CRM records, generate structured JSON, or power an agent that calls other tools. At first, many of these workflows begin with one model and one simple API call. That works for a prototype. But as the workflow becomes part of a real product, developers usually need control. Different automation steps may need different model behavior. Some need better structured output. Some need stable formatting that can be passed into another system.