Introducing Agent Workflows
ElevenLabs launched a visual editor for orchestrating agent conversations with subagents and human handoffs.
ElevenLabs introduced Agent Workflows for its Agents platform, a visual editor for mapping conversation flows and decision points. Instead of relying on one large agent prompt, teams can route tasks to specialized subagents with scoped prompts, tools, knowledge bases, and credentials. The feature emphasizes auditability, security policy enforcement, human escalation, and per-step model choices to balance cost, latency, and accuracy.
ElevenLabs has released Agent Workflows, a visual conversation-flow editor within its Agents platform, with the goal of letting teams design, route, and supervise AI conversation agents in a more structured way. The company notes that in the past, writing all business logic into a single large agent or a single prompt easily caused prompt bloat, unclear permission boundaries, difficult testing, and poor handling of complex scenarios. The approach taken by Agent Workflows is to break a conversation into an explicit flow: first define decision points, then hand requests off to specialized Subagents based on task type, confidence thresholds, or business rules, and where necessary hand off to a human operator as well.
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