Practitioner Guides
Practitioner Books
From boardroom strategy to production code. Each book is free, open-source, and designed for real-world application.
Leading AI in the Real Enterprise
Strategy, governance, and execution for modern leaders navigating AI investment and transformation.
~187 min total reading time
Building AI Products That Ship
From AI ideas to production systems — identify, plan, ship, and scale AI features.
~205 min total reading time
Architecting AI in the Real Enterprise
Patterns, platforms, and enterprise-scale AI delivery for architects.
~248 min total reading time
Building Agentic AI Systems
Agents, orchestration, memory, and production deployment for engineers.
~386 min total reading time
AI for Analysts and QA Teams
Requirements, testing, analysis, and communication with AI for BAs and QA engineers.
~256 min total reading time
Knowledge Graphs for Enterprise AI
GraphRAG, semantic systems, and production knowledge architectures.
~253 min total reading time
The Stack Beneath the Signal
How enterprise IT actually works — legacy systems, IT sprawl, cloud, APIs, and where AI lands.
~113 min total reading time
The LegacyForward Framework
Signal Capture, Grounded Delivery, and Legacy Coexistence — the three-pillar framework for enterprise AI transformation.
~48 min total reading time
Beyond LLMs: Large Concept Models
Concept-space reasoning and the next generation of enterprise AI — SONAR embeddings, hybrid architectures, and transition roadmap.
~168 min total reading time
AI Beyond the Demo
How AI Actually Works in Enterprises — 75 chapters synthesizing all nine practitioner books into a single sequenced journey.
~329 min total reading time
Revised Editions
Prose-Rewritten Editions
The same frameworks, numbers, and examples — rewritten for human cadence. Same content, different voice.
Leading AI in the Real Enterprise
Strategy, governance, and execution for modern leaders navigating AI investment and transformation.
15 chapters · ~180 min
Building AI Products That Ship
From AI ideas to production systems — identify, plan, ship, and scale AI features.
17 chapters · ~181 min
Architecting AI in the Real Enterprise
Patterns, platforms, and enterprise-scale AI delivery for architects.
18 chapters · ~189 min
Building Agentic AI Systems
Agents, orchestration, memory, and production deployment for engineers.
20 chapters · ~345 min
AI for Analysts and QA Teams
Requirements, testing, analysis, and communication with AI for BAs and QA engineers.
18 chapters · ~222 min
Knowledge Graphs for Enterprise AI
GraphRAG, semantic systems, and production knowledge architectures.
20 chapters · ~237 min
The Stack Beneath the Signal
How enterprise IT actually works — legacy systems, IT sprawl, cloud, APIs, and where AI lands.
24 chapters · ~107 min
The LegacyForward Framework
Signal Capture, Grounded Delivery, and Legacy Coexistence — the three-pillar framework for enterprise AI transformation.
9 chapters · ~48 min
Beyond LLMs: Large Concept Models
Concept-space reasoning and the next generation of enterprise AI — SONAR embeddings, hybrid architectures, and transition roadmap.
21 chapters · ~144 min
AI Beyond the Demo
How AI Actually Works in Enterprises — 75 chapters synthesizing all nine practitioner books into a single sequenced journey.
75 chapters · ~323 min