According to ElevenLabs (@elevenlabsio), their Forward Deployed Engineers have enabled hundreds of enterprises to rapidly launch AI agents by embedding directly with client teams to scope, build, and deploy production-grade AI systems. This hands-on approach reduces development time and ensures the delivery of scalable, business-ready AI solutions. The model offers enterprises a practical way to realize AI-driven automation and efficiency gains without lengthy in-house ramp-ups, creating significant opportunities for companies looking to quickly integrate advanced AI into their workflows (source: ElevenLabs Twitter, Nov 20, 2025).

According to @AndrewYNg, a new course titled 'Design, Develop, and Deploy Multi-Agent Systems with CrewAI' is now available, taught by @joaomdmoura, Co-founder and CEO of CrewAIInc (source: Andrew Ng on Twitter). This course provides hands-on training in building practical AI multi-agent systems that can automate complex workflows by mimicking human team collaboration. Participants will learn to use CrewAI’s open-source framework to create, coordinate, and deploy AI teams, focusing on agent design, task assignment, and system deployment. The curriculum covers building reliable AI agents with tools and guardrails, developing agent teams for planning and coordination, and deploying production-ready AI systems with monitoring and evaluation. This offering addresses growing industry demand for scalable AI workflow automation and equips professionals with in-demand skills for enterprise AI integration (source: deeplearning.ai course page).

According to Sundar Pichai, Google has introduced Gemini Enterprise, an AI-driven platform powered by their most advanced Gemini models. This enterprise-grade solution enables organizations to interact with internal documents, data, and applications using natural language, facilitating seamless AI-powered workflows. Gemini Enterprise also allows businesses to build and deploy custom AI agents tailored to specific business needs, empowering automation across a variety of use cases such as customer support, data analysis, and process optimization. By grounding AI agents in a company's own information and context, Gemini Enterprise aims to enhance productivity, reduce operational costs, and create new business opportunities for organizations adopting generative AI at scale (Source: @sundarpichai, Twitter, Oct 9, 2025).

According to ElevenLabs (@elevenlabsio), the company is launching a comprehensive video series called Agent Tutorials designed to guide users from beginner to expert in building, deploying, customizing, and testing conversational AI agents using the ElevenLabs platform. This initiative offers step-by-step, practical insights into conversational AI workflows, helping businesses and developers accelerate their adoption of AI-powered voice and chat agents. The tutorials are expected to enhance accessibility and reduce entry barriers for organizations seeking scalable AI-driven customer communication solutions, supporting the growing demand for advanced conversational AI capabilities in the enterprise market (source: ElevenLabs Twitter).