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Interactive visual guides, deep dives, and practitioner field guides on AI architecture, LLMs, enterprise agents, and security.
Series
How LLMs Work
An interactive visual journey through the complete LLM pipeline — from neural networks and tokenization through transformer architecture, attention mechanisms, and real-time inference.
Building Enterprise AI Agents
Practical guides to building, deploying, and operating AI agents in enterprise environments — covering orchestration, context engineering, and real-world patterns.
Explore by Format
Under the Hood
Interactive visual explorations of core concepts with diagrams and animations.
Deep Dives
Long-form technical articles exploring topics in depth with practical examples.
Field Guides
Practitioner field guides — downloadable PDFs with actionable frameworks.
Academy
Structured courses and workshops for teams and individual practitioners.
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Models, Context & Reasoning
How models behave inside real systems — architecture, context, training, and inference.
Browse →Enterprise Agents
Building production-grade AI agent systems with orchestration, tools, and governance.
Browse →AI Security
Securing AI systems — prompt injection, model safety, and trust boundaries.
Browse →Identity & Authorisation
OIDC, OAuth, zero-trust, and modern identity architecture patterns.
Browse →Runtimes & Protocols
Agent runtimes, coordination protocols, and execution frameworks.
Browse →