Five practical patterns for connecting a local LLM to external tools via MCP — natural-language SQL, autonomous research, note management, offline smart-home control, and sandboxed file operations.

A practical playbook for deploying autonomous AI agents safely — agent-specific risk drivers, pre-deployment governance, IAM and guardrails, inter-agent security, traceability, contingency planning, and a deployment gate.

Claude comes in three tiers: Opus for power, Sonnet for balance, Haiku for speed. Here is how they differ and a simple rule for choosing between them.

A comparison of leading LLM observability platforms, breaking down the strengths, limitations, and ideal use cases for tools like Maxim AI, Arize, Langfuse, and LangSmith.

Vector databases are specialized systems for fast similarity search in high-dimensional embedding spaces. This guide covers why ordinary databases fail at it, the core ANN algorithms (HNSW, IVF, PQ), the recall-latency trade-off, and when you actually need one.