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Pillar hub

AI agents: design, build, evaluate, and govern

Move beyond demos with explicit state, bounded autonomy, secure tools, measurable outcomes, and production observability.

Start here

Understand the difference between LLM applications and agentic systems, then move into architecture and implementation.

Foundations and industry guide

Agent features, design patterns, challenges, benefits, advanced patterns, and industry applications.

Production tutorials

Detailed design guidance for reasoning, triggers, frameworks, memory, cost, emergent behavior, and observability.

Enterprise use cases

Concrete applications in privacy, audit, compliance, complaints, tax, legal extraction, and document analysis.