Practical, reusable architect resources: decision frameworks, reference architectures, checklists, and maturity models.
AI Architecture
A decision framework for building the evaluation infrastructure that determines whether an AI agent is production-ready and stays trustworthy — maturity model, readiness checklists, build-vs-buy, governance, security, cost, and a reusable evaluation scorecard.
AI Architecture
A decision framework for standing up a centralized AI gateway as the control plane for LLM traffic — maturity model, readiness checklists, build-vs-buy, governance, security, cost, and a reusable gateway decision scorecard.
AI Architecture
A decision framework for adopting the Agent2Agent (A2A) protocol to coordinate AI agents across teams, vendors, and organizational boundaries — maturity model, readiness checklists, build-vs-buy, governance, security, cost, and a reusable adoption scorecard.
AI Architecture
A decision framework for deciding when — and how — to move from a single agent to a multi-agent system: maturity model, readiness checklists, build-vs-buy, governance, security, cost, and a reusable coordination-pattern scorecard.
AI Architecture
A decision framework for standing up and governing the Model Context Protocol (MCP) as the integration layer between AI agents and enterprise systems — maturity model, readiness checklists, build-vs-buy, governance, security, cost, and a reusable server-registry scorecard.
AI Architecture
A decision framework for choosing, building, or governing the platform layer that runs AI agents in production — maturity model, readiness checklists, build-vs-buy, governance, security, cost, and a reusable platform scorecard.
Architecture Playbooks
A decision framework for enterprise architects and technology leaders running a RAG initiative — maturity model, readiness checklists, build-vs-buy, governance, security, cost, and a reusable platform scorecard.