Table of Contents
Every chapter, with a summary.
The full map of The Context Advantage — 31 chapters across 7 parts. Chapters 1, 2, and 3 are free in the reader.
Part 1 — Foundations
- CH 01The Day Data Started Talking BackWhen the model is smart but the meaning is missing. 11 min Free
- CH 02The Agentic Era Is Not Just About AgentsAgents in simple English: answer, reason, plan, use tools, take action. 11 min Free
- CH 03Smart Models Still Need Smart SystemsWhy intelligence alone is never enough at enterprise scale. 12 min Free
- CH 04The 4 C's FrameworkA simple lens for designing trusted enterprise AI. 12 min Paid
Part 2 — Context
- CH 05Context Is the New Data LayerWhy meaning sits above storage and compute. 12 min Paid
- CH 06Business Meaning Beats Raw RetrievalNaive RAG is not a context strategy. 12 min Paid
- CH 07Semantic Layers, Ontologies, and Metrics in Simple WordsThe big context words, explained without the jargon. 13 min Paid
- CH 08From Data Catalog to Business MemoryCatalogs describe data. Memory describes meaning. 12 min Paid
- CH 09The Context EngineerA new role at the heart of agentic systems. 11 min Paid
Part 3 — Control
- CH 10Governance Was Built for Humans. Agents Need More.Access control is not action control. 12 min Paid
- CH 11From Access Control to Action ControlMoving from who can see to what can act. 12 min Paid
- CH 12Guardrails, Approvals, and Audit TrailsDesigning safe agent behavior in practice. 13 min Paid
- CH 13Trust Is Designed, Not AssumedHow leaders earn confidence in AI systems. 11 min Paid
- CH 14Human in the Loop Still MattersWhen humans should approve, review, or fully own the decision. 12 min Paid
Part 4 — Cost
- CH 15The Hidden Cost of Agentic AIWhere the dollars actually go. 12 min Paid
- CH 16Not Every Task Needs the Best ModelRouting, cascades, and right-sized intelligence. 11 min Paid
- CH 17Budget-Aware AI DesignDesigning for budgets from day one. 13 min Paid
- CH 18Quality, Speed, and Cost TradeoffsHow to balance accuracy, latency, and spend. 12 min Paid
Part 5 — Choice
- CH 19The Danger of AI Lock-InHow yesterday's choices limit tomorrow's options. 11 min Paid
- CH 20Open Formats, Open Interfaces, Open ThinkingWhy openness is a strategic moat. 12 min Paid
- CH 21Build for ChangeDesigning for change you can't predict. 11 min Paid
- CH 22Platform Independent, Platform AwareLearn the concepts. Map them to Databricks, Snowflake, AWS, Azure, GCP, and open source. 12 min Paid
Part 6 — Career
- CH 23The Agentic Data ProfessionalHow your role evolves in the next five years. 13 min Paid
- CH 24Skills That Will Matter More Than ToolsDurable skills that outlast every framework, model, and platform. 12 min Paid
- CH 25Speaking the Language of Business and AIHow to explain technical ideas to leaders, product teams, and customers. 12 min Paid
- CH 26Career Roadmap for the Agentic EraLearning paths for beginners, intermediates, and senior professionals. 14 min Paid
Part 7 — Practice
- CH 27The Trusted Agent ArchitectureA nine-step end-to-end reference architecture for production agents. 15 min Paid
- CH 28Building Your First Context LayerA step-by-step practical guide from zero to a working layer in eight weeks. 14 min Paid
- CH 29The 4 C's Readiness AssessmentA full scoring rubric you can run on any AI project or program. 13 min Paid
- CH 30The 90-Day Enterprise AI Learning PlanThirty days to understand, thirty to build, thirty to design. 13 min Paid
- CH 31Designing Multi-Agent Systems That Actually WorkWhen one agent is not enough — and how to make many cooperate without chaos. 13 min Paid
Read the whole thing.
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