Building Reliable Agent Tools: Schemas, Idempotency, Recovery
A production-shaped guide to designing AI agent tools that the model can actually use without breaking things. Schema choices, idempotency keys, error responses the model can act on, granularity tradeoffs, versioning, and the patterns that separate demo-quality tools from ones that hold up in real workloads.
LLM vs AI Agent vs Agentic AI: Drawing the Lines That Matter
The capability spectrum from stateless LLM to multi-agent orchestration is one of the most conflated concepts in the 2026 AI market. The distinctions matter. They change architecture, they change cost by an order of magnitude, and under the EU AI Act they change compliance posture.
Model Context Protocol in Production: One Year Review
One year after MCP shipped, this is what adoption actually looks like — server ecosystems, integration patterns, security concerns like tool poisoning and prompt injection, and the open questions heading into 2026.