AAIF Live

Structured Dissent Patterns for Agentic Production Reliability

MCP Security: What Happens When Your Agents Talk to Everything?

Multi-Agent Systems for the Misinformation Lifecycle

Real-Time Voice Agents in Production

Inside OpenAI's AI Agent Collaboration System

Enterprise AI Operations: The Missing Piece

Accelerating Growth Through Optimizing GPU Usage // Sahil Khanna // AI in Production 2025

Building Agentic Tools for Production // Sam Partee

AI REWIND 2025 - MLOps Reading Group Year-end Special

The podcast features a panel of AI experts dissecting consequential AI developments from the past year, categorized into architecting AI workflows, multi-agent orchestration, and model cognition. Discussions cover the evolution of AI agents from experimental demos to production systems, emphasizing the importance of co...

The Future of AI Agents are Sandboxes

Context Engineering 2.0

Big Updates to Redis: Context Engine, Tools, and Memory

Does AgenticRAG Really Work?

How Sierra AI Does Context Engineering

Building robust AI agents for enterprise requires a departure from traditional software development cycles, favoring a "constellation of models" that operate in parallel to manage complex reasoning and real-time voice latency. Sierra’s methodology centers on "critical simulations" and "LLM-as-a-judge" frameworks to ens...

Governance for AI Agent Deployment

Tool definitions are the new Prompt Engineering

Voice AI's Biggest Weakness Exposed

How Linear Builds AI Agents

MCP-Enabled Agents

Why Agentic RAG is Worth the Hype