Insights
Practical writing on AI systems, security, and software architecture.
Field notes and technical explainers from Zero Harm AI for teams building production AI applications.
AI EngineeringOctober 29, 2026
The Architecture of Agentic AI Systems
A visual primer on reasoning loops, agent memory, multi-agent topologies, the MCP and A2A protocol stack, and the risks to plan for in production.
Read article →AI SecurityOctober 29, 2026
Securing Cloud Applications in the Age of AI Agents
A practical six-layer framework for securing AI workloads in the cloud: Identity, Connectivity, Execution, Credentials, Data, and Detection.
Read article →AI EngineeringJuly 8, 2026
What Is an AI Agent?
A technical primer for engineers building AI agent systems, from planning and memory to MCP, A2A, and production failure modes.
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