Breaks the modern AI system into five layers — infrastructure, data and development, foundation models, serving and orchestration, applications and agents — and explains the two shifts reshaping it: inference economics and the agentic runtime.

The creator of Claude Code doesn’t code faster — he orchestrates a fleet of agents. Here’s the workflow, broken into five repeatable principles.

A tiered comparison of the top large language models available via API — the S-Tier, A-Tier, and B-Tier models from OpenAI, Anthropic, Google, and the open-weight world — to help you choose the right one.

A reference architecture for a secure, RAG-based enterprise AI assistant built from open-source models, with policy guardrails for redaction and access control.

A curated map of open-source MCP tools — frameworks, CLIs, and automation platforms — for building agentic AI workflows from proven components.