According to ElevenLabs (@elevenlabsio), the company has launched built-in test scenarios for their AI agents aimed at improving success rates across key functionalities, including tool calling, human transfers, complex workflows, guardrails, and knowledge retrieval (source: https://twitter.com/elevenlabsio/status/1965455063012544923). This development enables businesses to rigorously validate and optimize their AI agent performance before deployment, reducing operational risks and ensuring more reliable automation in customer service and workflow automation use cases. The feature addresses a critical market need for quality assurance in AI-driven solutions, supporting companies seeking to scale AI adoption with confidence.