LLMs alone can’t “act.” They generate text. The key to success, and the way to avoid the 80% of AI projects that never leave the prototype stage, is moving beyond conversation to orchestration. This means integrating LLM reasoning with automation frameworks, enabling explainable outcomes and human oversight, adding guardrails, and solving real pain points.
Joining us to demonstrate how AI agents can be orchestrated to take meaningful action within production-grade environments are Alberto González and Mariana López, CTO and COO of WebRTC.ventures and AgilityFeat. Drawing from the company’s AI integration work in real-time and asynchronous applications, they will show us how to identify high-value opportunities for agentic automation, integrate AI agents into existing systems, and apply design patterns for agentic workflows, including single-agent chatbot, RAG agent, multi-agent coordination, human-in-the-loop, and event-driven agent. They’ll also outline strategies for maintaining and scaling sustainable AI operations.
The episode also features Arin Sime and Tsahi Level-Levi’s Monthly WebRTC Industry Chat. This month, they discussed importance of monitoring user-side CPU issues.
Watch Episode 109: Agentic Workflows That Work in Production
Episode highlights and key insights to follow.
Up Next! WebRTC Live #110
Everything You Need to Know About TURN Servers in WebRTC
Panel (guest names to follow)
Wednesday, February 25, 2026 (tentative) at 12:30 pm Eastern
