Architecture Labs
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Lab 006: Observing AI Reasoning with Phoenix
Lab 006 adds observability to AI-enabled processes by tracing judgment functions with OpenTelemetry and Arize Phoenix. Continue reading
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Lab 005: Human Oversight by Design with Streamlit
Architecting for human oversight enables AI-assisted business processes to remain transparent, accountable, and operationally manageable. Continue reading
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Lab 004: Demonstrating the Next Evolution of Enterprise Process Architecture with LangGraph
Using LangGraph, this lab demonstrates how stateful enterprise processes integrate conventional systems, shared context, and probabilistic AI decisions. Continue reading
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Lab 003: Judgment as a Service with Anthropic Claude and Pydantic
This lab demonstrates how Anthropic Claude and Pydantic can be used to encapsulate AI reasoning and judgment as reusable, structured business services. Continue reading
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Lab 002: Context as Infrastructure with Qdrant, RAG, and Hugging Face
Using Hugging Face, Qdrant, and retrieval-augmented generation (RAG), this lab demonstrates how enterprise information becomes accessible as shared context for AI reasoning and judgment. Continue reading
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Lab 001: Encapsulating Enterprise Systems with Claude Code
This lab uses Claude Code and Python to create simulated enterprise systems with stable interfaces, establishing the foundation for the AI capabilities introduced in subsequent labs. Continue reading
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Getting Started: Preparing Your Development Environment for the Enterprise AI Architecture Labs
This guide establishes and verifies the common development environment used throughout the Enterprise AI Architecture Labs series, including Python, Docker, Qdrant, Claude Code, Anthropic API access, and Hugging Face. Continue reading
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From Enterprise Integration to Enterprise AI: Architectural Continuity in the Age of Generative AI
Generative AI extends familiar architectural responsibilities into a new generation of technologies, continuing the evolution of enterprise architecture. Continue reading