CrewAI

Thank you to everyone who joined the second webinar in our AI agent adoption series! We’re always grateful for the energy and thoughtful engagement our community brings. This session focused on what it really takes to operate AI agents at scale, from visibility and reliability to governance and security. For those interested in getting hands-on, we look forward to seeing you in our upcoming workshop on building, deploying, and managing agentic systems. https://lnkd.in/gsrajCwr

Teams aren’t just experimenting with agents anymore... they’re shipping them to production. And they’re doing it with CrewAI 𝐅𝐥𝐨𝐰𝐬. What makes Flows special is how the DSL is event-driven at its core: → @start kicks things off → @listen reacts to what happened → @router branches based on outcomes Deterministic by nature. Flexible where intelligence matters. 𝐖𝐡𝐲 𝐭𝐡𝐢𝐬 𝐦𝐚𝐭𝐭𝐞𝐫𝐬 𝐟𝐨𝐫 𝐭𝐞𝐚𝐦𝐬: Simple DSL → Build, iterate, deploy faster → 𝐋𝐨𝐰𝐞𝐫 𝐭𝐢𝐦𝐞 𝐭𝐨 𝐯𝐚𝐥𝐮𝐞 Easy to maintain → Your in-house engineers can own this. 𝐍𝐨 𝐬𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐞𝐝 "𝐀𝐈 𝐭𝐞𝐚𝐦" 𝐫𝐞𝐪𝐮𝐢𝐫𝐞𝐝. We've seen teams go from idea to production on CrewAI AMP in days, not months. Same pattern works for: - Slack/Teams assistants - Email triage systems - Document processors - Customer support automation - Internal tooling The backbone is always the same. 𝐓𝐡𝐞 𝐚𝐠𝐞𝐧𝐭𝐬 𝐡𝐚𝐧𝐝𝐥𝐞 𝐭𝐡𝐞 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞.

Deploying an agent ≠ operating hundreds of agents that span multiple business units, departments, and teams. 🚫 Part two of our three-part webinar series will focus on the full agent operations lifecycle, from observation and optimization through management and scaling. Join us tomorrow at 10:00 am PT – you’ll learn: 💡Agent governance and security concepts 📊How to achieve visibility with tracing 🧑💻Ensuring reliability with HITL feedback 📈Scaling with reusable agents and tools Sign up today (P.S. you’ll receive a recording if you can’t attend live): https://lnkd.in/gWwx_KS5

It's fun to build agentic systems, whether with a visual editor and natural language or an API. However, while the path to agentic transformation begins with prototyping and experimentation, it ends with operationalizing and scaling adoption of agentic systems across the organization. Here are a few of the important operational aspects to consider when building a foundation for agentic transformation. 👉 Deployment and monitoring Whether it's AI engineers building and testing locally, or business users building via natural language and a drag-n-drop U, enterprises need a proper deployment process for production -- and that means Git integration, versioning, logging and more. 👉 Security and permissions It's not likely to come up during development, but prior to production deployment, security requirements and standards must be accounted for. In particular, agents may be required to handle sensitive data and perform proprietary internal tasks which require greater governance. 👉 Configuration management Administration doesn't go away with agents. It's still necessary to centralize the configuration and management of things like which inference providers and models agents can be built on (e.g., organizational API keys) , and which enterprise systems and apps they can access as tools (e.g, authentications). 👉 Agent and tools sharing As with the adoption of any disruptive technology, it's important to ensure different teams are not duplicating efforts and benefit from each other. When it comes to agentic transformation, that means building and sharing reusable components such as agents and custom tools across the organization. 👉 Human-in-the-loop management Agentic system frameworks provide a mechanism for agents to receive and incorporate feedback. However, there needs to be an easy way for employees to know when feedback has been requested and to actually provide it -- and for managers to ensure everyone is participating and keeping up. This is what we refer to as agentic operations, and it will be the main focus of tomorrow's webinar. We hope you can join us tomorrow, and next Thursday, we'll conclude our series on accelerating AI agent adoption with a virtual, hands-on workshop. https://lnkd.in/gWwx_KS5

Yesterday's webinar included a special surprise when João (Joe) Moura joined as an attendee to chat with everyone throught, and joined Shane Johnson on the stage with the enthusiam and excitement he is known for!

Vamos fazer um workshop virtual sobre como construir equipes de agentes de IA colaborativos que usam ferramentas (sem precisar programar). O primeiro foi um grande sucesso, e desde então adicionamos uma série de recursos incríveis no Studio. Você sabia que dá para usar o assistente de IA para criar ferramentas personalizadas para você? E não para por aí. Inscreva-se e vamos construir um crew juntos!

Thank you to everyone who attended our webinar on agentic systems today! What an amazing crowd. We will always grateful for the enthusiam and excitement our community brings. Let's build some agentic systems! For everyone who asked about governance and security, we look forward to seeing in next week's webinar on agentic operations. https://lnkd.in/gWwx_KS5

Vamos a realizar un workshop virtual sobre cómo construir equipos de agentes de IA colaborativos que utilizan herramientas (sin necesidad de programar). El primero fue un gran éxito y, desde entonces, hemos añadido una serie de funcionalidades increíbles en Studio. ¿Sabías que puedes usar el asistente de IA para crear herramientas personalizadas para ti? Y eso no es todo. ¡Inscríbete y construyamos un crew juntos!

Announcing! The first Llama Lounge Hackathon for Agentic Developers! Come build with CrewAI, Composio, and Skyfire, and hosted with our friends at Snowflake, with support from the Cerebral Valley team. Fri Feb 27 - Sat Feb 28 in Menlo Park Link to develop registration in comments Llama Lounge is branching out, not just pitch events, but also roll-up your sleeves and building with top developers and top agentic solutions, i can't wait to see what you build.