Introducing Agent Workflows

ElevenLabs · Beginner ·🧠 Large Language Models ·8mo ago

Key Takeaways

ElevenLabs introduces Agent Workflows, a visual editor for designing conversation flows in Agents Platform, enabling handling of complex scenarios with specialized Subagents and optimized LLM usage

Full Transcript

11 Labs just took a major step towards agentic control and it all starts here. Our new visual editor for designing complex agent conversation flows. This brand new functionality lets you orchestrate every scenario, blending artificial intelligence, complex logic, and deterministic action. Whether it's triggering real world events, verifying and authorizing callers, or transferring to a human operator, you decide the user flow for every scenario. And each sub agent can draw from its own tools, knowledge base, or language model, optimizing for cost, latency, and accuracy at every stage. Control, precision, and escalation. All done at scale with agent testing integration, allowing you to depend on 11 Labs agents with confidence. So take control today with workflows from 11 Labs.

Original Description

Introducing Agent Workflows A visual editor for designing conversation flows in Agents Platform. Instead of building all of your business logic in a single agent, Workflows enable you to handle more complex scenarios by routing to specialized Subagents. Subagents each have their own system prompt and access to task-specific knowledge bases and tools. With Workflows, you define when to hand off to Subagents and when to transfer to human operators. Workflows allow agents to connect securely to systems, apply business logic and route conversations seamlessly. This means you can optimize cost, latency, and accuracy with narrower prompts and knowledge bases, using the ideal LLM for each step of the conversation. Agent Workflows put you in control. Start building structured, secure, and scalable conversational agents: elevenlabs.io/app/agents
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 33 Year in Review with special guest TIME's CTO Burhan Hamid
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 46 Meet GibberLink, Conversational AI's secret language
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 47 Building a Personal AI Receptionist
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 48 Cross-platform AI Voice Agents with Expo React Native
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Agent Workflows is a visual editor for designing conversation flows in Agents Platform, allowing for more complex scenarios and optimized LLM usage. With Workflows, users can define when to hand off to Subagents and when to transfer to human operators, enabling secure and scalable conversational agents. By using Agent Workflows, users can optimize cost, latency, and accuracy in their conversational agents.

Key Takeaways
  1. Define conversation flows
  2. Create Subagents
  3. Assign system prompts and knowledge bases
  4. Determine handoff points to Subagents or human operators
  5. Connect agents to systems
  6. Apply business logic
💡 Agent Workflows enables users to handle complex scenarios by routing to specialized Subagents, optimizing LLM usage and improving conversational agent performance

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