AAIF Live

Can Your AI Heat My House?

Tim O’Reilly

AI Agents Need a Babysitter

Token Maxxing Is Over and Here Is What Comes Next

The World Wild Web & Bots With Buying Power

Agents Acting Safely on Our Behalf

AAIF Reading Group: Measuring Agent Policy Compliance

LLM-based agents frequently fail to follow complex, long-context instructions, achieving only a 36.2% success rate under strict evaluation criteria. These failures typically manifest as agents ignoring handbook policies, being distracted by environmental noise, or incorrectly self-reporting compliance despite violating...

Bridging the Gap Between AI Builders and Domain Experts

Inside a Game Where AI Agents Never Sleep

How a Logistics Giant Keeps AI Data Locked Down

The Caveman Prompting Challenge

100x More Reliable Voice Agents

AAIF Reading Group - Prompt Injection as Role Confusion: Rethinking Agent Security

Stateless, Yet Durable: MCP Tasks v2

The MCP Tasks Extension

MCPs for Observability Stacks

Agentic DX: Bringing IDP into your IDE

MCP Release Overview: Stateless and the Big Changes in the New Spec

Before the Agent Calls: Source-level Findings from 100 MCP Servers

Responsible Autonomy: Building Governance Frameworks for AI That Act in the Real World via MCP