Blog
Insights on AI agent observability, governance, accountability, and the engineering practices that make autonomous systems trustworthy.
AI Engineering
Agentic Protocols Compared: MCP, A2A, ACP, and the Protocol Landscape
MCP connects models to tools. A2A connects agents to agents. ACP standardizes agent communication. Here is how they differ, when to use each, and why observability across all of them matters.
AI Engineering
Principles and Patterns of Building Agentic AI Systems
From choosing the right model to orchestrating multi-agent workflows — the foundational ideas and battle-tested patterns shaping how production AI agents are built today.