A practical AI governance guide for software teams building production AI systems, with controls that support delivery instead of blocking it.
How to Build an Enterprise AI Roadmap That Actually Ships
A practical enterprise AI roadmap for leaders and engineering teams who want pilots that move into production instead of staying in slide decks.
AI App Architecture: Frontend, API, Model Layer, and Data
A practical guide to AI app architecture, covering frontend UX, API design, model orchestration, data controls, retrieval, evals, and monitoring.
MCP Explained: How AI Agents Connect to Tools and Data
A plain-English explanation of Model Context Protocol, how it helps AI agents connect to tools and data, and what teams should secure.
How to Add ChatGPT to an Internal Business App
A practical architecture guide for adding ChatGPT-style AI to internal business applications with the right controls and rollout plan.
AI Agent Security Checklist for Enterprise Teams
A practical AI agent security checklist for enterprise teams covering data access, tool permissions, prompt injection, approvals, logs, and evals.
RAG vs Fine-Tuning: Which One Should Your AI App Use?
A practical comparison of RAG and fine-tuning for AI applications, including when to use each, how they affect cost, and how to choose safely.
How to Build an AI Agent for a Business Workflow
A practical guide to building an AI agent for a real business workflow, from use case selection and tool access to evals, security, and rollout.