Beyond the DAG: Building Agentic Workflows That Loop, Branch, and Scale
Agentic workflows loop, branch, retry, and trigger new work instead of following a fixed DAG. Santosh Kumar Radha explains how AgentField uses typed functions, structured outputs, stopping and escalation patterns, event triggers, and controls for scaling, identity, and authorization.
Fixed workflow graphs become hard to manage when agents need to loop, branch, retry, or ask for human input. Santosh Kumar Radha shows how AgentField represents agents as typed functions with structured interfaces, allowing the workflow graph to emerge at runtime. He maps planning, implementation, review, correction, and approval into reusable patterns, then covers stopping conditions, escalation paths, and event-driven triggers. The discussion also turns to production concerns: control planes, scaling, identity, authorization, policy, revocation, and when teams should reuse an existing harness.
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