What's New
Track meaningful updates to the book. This page is refreshed once a day from the latest changes to the book's content.
Latest Updates
Updates are grouped by day and written automatically from the day's content changes, each linking to the lesson that changed.
2026-07-15
- Clarified the Loop Engineering crash course with plainer guidance on background sessions, timers, scheduling, retries, and stopping loops, plus a cleaner orientation for the event-driven section. (Loop Engineering: A Crash Course)
2026-07-14
- Added a new hero image to the About page to anchor the book and ecosystem overview. (The AI Agent Factory — A Definitive Book and Ecosystem for the Agent Era)
- Clarified the geography note in Why AI Is Non-Negotiable so Shenzhen reads as China's hardware capital and Beijing as its AI capital. (Why AI Is Non-Negotiable)
- Expanded The Forward Deployed Engineer Agent Factory Model with a plain-language explanation of how domain knowledge lives as corpus, map, and reflexes. (The Forward Deployed Engineer Agent Factory Model)
2026-07-13
- Refreshed the Loop Engineering crash course with a plainer, clearer rewrite that keeps the loop shape and stopping rules easy to follow. (Loop Engineering: A Crash Course)
- Added a NemoClaw cage simulation to Scenario 8 so readers can practice the sandboxed OpenClaw setup before they ship it publicly. (OpenClaw with General Agents: A 90-Minute Crash Course)
- Clarified the FDE AF Model page with a plainer explanation and a new forecast section about AI infrastructure spending. (The Forward Deployed Engineer Agent Factory Model)
2026-07-12
- Introduced a new five-layer model page that links the foundation, vertical ecosystems, and customer work into one business blueprint. (The Forward Deployed Engineer Agent Factory Model)
- Rewrote the OpenClaw general-agents course so Scenario 8 explains NemoClaw and OpenShell as a caged setup for sharing with other people, with a clearer agent-led install flow. (OpenClaw with General Agents: A 90-Minute Crash Course)
- Added a checker-ladder visual and a clearer rule for when a writing loop can trust a rubric versus a human review. (Loop Engineering: A Crash Course)
- Added a new section showing how AI infrastructure spending is shifting cash from hyperscalers to chipmakers. (The Agent Factory Thesis)
- Expanded the roles map with a new Skill Author example and a tighter link back to the FDE AF Model. (The Roles This Book Trains)
2026-07-11
- Added a new Ecosystem section with a hub and three product pages for the System of Record, AI Tutor, and AI Developer. (The Agent Factory Ecosystem)
- Refreshed the About page to use the new ecosystem names and point readers to the System of Record, AI Tutor, and AI Developer. (The AI Agent Factory — A Definitive Book and Ecosystem for the Agent Era)
- Added a practical tip to Loop Engineering that helps readers choose the lightest loop that fits the task. (Loop Engineering: A Crash Course)
- Expanded The Roles This Book Trains with a Harari-framed opening about why judgment, specification, and deployment matter more than syntax. (The Roles This Book Trains)
- Expanded Why AI Is Non-Negotiable with a Harari-based framing that turns the objections into hazards on the road to adoption. (Why AI Is Non-Negotiable)
2026-07-10
- Corrected the Agentic Coding crash course so the saved-plan step now happens after plan mode, where writing is allowed. (Claude Code and OpenCode: A Crash Course)
- Expanded Loop Engineering with a new dogfooding section, an interactive loop-shift simulator, and fuller guidance on schedules, channels, and Routines. (Loop Engineering: A Crash Course)
- Expanded The Agent Factory Thesis with a new section on foreign investments in data centers. (The Agent Factory Thesis)
2026-07-09
- Expanded Loop Engineering with clearer guidance on stopping
/loopjobs, a fuller explanation of conditional loops, and a more complete walkthrough of scheduled Routines and cron. (Loop Engineering: A Crash Course) - Added a new Four Survival Skills section on the About page that names direction, orchestration, judgment, and human connection as the skills that matter in the agent era. (The AI Agent Factory — A Definitive Book and Ecosystem for the Agent Era)
2026-07-08
- Expanded Loop Engineering with a clearer four-layer mental model, four more practice projects, and three routine drills in the appendix. (Loop Engineering: A Crash Course)
2026-07-07
- Reframed the Agentic Coding crash course around trust-by-checking, added a verification loop section and a new maturity ladder, and expanded the quiz. (Claude Code and OpenCode: A Crash Course)
- Clarified Loop Engineering by separating the inner loop from the outer loop and spelling out how the layers fit together. (Loop Engineering: A Crash Course)
- Tightened The Agent Factory Thesis with first-party Claude Code evidence and a clearer line between invariants and implementation. (The Agent Factory Thesis)
2026-07-06
- Reworded the Spec-Driven Development crash course in plainer, more accessible language. (Spec-Driven Development: A Crash Course)
- Added Scenario 8 to the OpenClaw crash course, where readers sandbox an AI Employee with NemoClaw, plus new flashcards for that lesson. (OpenClaw with General Agents: A 90-Minute Crash Course)
- Expanded Loop Engineering with a new routines appendix and clearer beginner-friendly explanations of how loops start, run, and recover. (Loop Engineering: A Crash Course)
2026-07-05
- Reworked the preface to frame the book around the line between people who build AI workers and people who get displaced by them. (Preface: The Right Side of the Line)
- Expanded the loop engineering crash course with a clearer outer-loop vs inner-loop model and new diagrams for the six-part loop shape. (Loop Engineering: A Crash Course)
2026-07-04
- Expanded The Roles This Book Trains into a full map of the FDE market, including salary ranges, freelance work, interview prep, and a five-archetype view of the job. (The Roles This Book Trains)
- Tied The Agent Factory Thesis more directly to the Forward Deployed Engineer path and the AI-Native Company Architect. (The Agent Factory Thesis)
2026-07-03
- Refined the Getting Started map and the Mode 2 landing page so the phase labels and course blurbs line up with the sidebar. (Getting Started: Crash Courses)
- Added AI gravity as the named pull toward outsourcing your thinking, with matching glossary wording and a loop-engineering callback. (How to Think in the AI Era: Crash Course)
- Expanded Human-Agent Teams with a Claude Tag example and an extra check question. (Human-Agent Teams: The Operating Model for Your Workforce)
- Refreshed the roles map with a new Forward Deployed Engineer infographic and current Microsoft context. (The Roles This Book Trains)
2026-07-02
- Added a hands-on MCP Apps lab and a refund-approval widget walkthrough to the Designing Agent Experiences crash course. (Designing Agent Experiences: Where Humans Learn to Trust Machines That Act)
2026-07-01
- Shipped a new crash course on designing agent experiences, with a reader track, an Agent Experience Brief, and fresh flashcards, quiz, and teaching aid. (Designing Agent Experiences: Where Humans Learn to Trust Machines That Act)
- Expanded AI Identity with a clearer agent-identity arc, plus flashcards, a 50-question quiz, and a teaching aid. (AI Identity: Human Sign-In and Agent Access)
- Added a new loop-engineering section that frames one fast coding loop inside slower feedback and outside loops. (Loop Engineering: A Crash Course)
- Tightened the roles map's pod-of-one story and linked it back to Human-Agent Teams. (The Roles This Book Trains)
2026-06-30
- Expanded AI Identity into a clearer agent-identity arc with step-by-step build prompts and a more explicit frontier for agent credentials. (AI Identity: Human Sign-In and Agent Access)
- Refined Connector-Native Apps around the new release starter and a cleaner handoff from the old monorepo base. (Connector-Native Apps: A Remote MCP Server Whose Customer Is an AI)
- Reworked Plugins for AI Agents into a more judgment-first course with a clearer opening and a fresh release starter. (Plugins for AI Agents: One Bundle, Your Whole Team)
2026-06-29
- Reworked Connector-Native Apps around a clearer mental model and a cleaner build path for the Reading Room connector. (Connector-Native Apps: A Remote MCP Server Whose Customer Is an AI)
- Added a preview AI Identity course about owning sign-in and giving agents their own bounded credentials. (AI Identity: Human Sign-In and Agent Access)
- Expanded Human-Agent Teams with a teaching aid, flashcards, and a 50-question quiz. (Human-Agent Teams: The Operating Model for Your Workforce)
- Tightened Plugins for AI Agents so the starter path is clearer for both marketplace installs and local development. (Plugins for AI Agents: One Bundle, Your Whole Team)
- Expanded the role map to sharpen the Outcome Architect and add the Connector and Plugin Engineer. (The Roles This Book Trains)
- Added a clearer end-to-end RAG pipeline map to Give Your AI Searchable Context. (Give Your AI Searchable Context: RAG on Postgres with pgvector — A Crash Course)
- Added a new boom-vs-bust section to the thesis so the market-cycle risk is easier to separate from the technology itself. (The Agent Factory Thesis)
2026-06-28
- Added the new Mode 2 plugin crash course, so readers can now extend Claude Code and OpenCode right after Connector-Native Apps. (Plugins for AI Agents: One Bundle, Your Whole Team)
- Clarified Connector-Native Apps with gentler first-contact explanations and more consistent build instructions. (Connector-Native Apps: A Remote MCP Server Whose Customer Is an AI)
- Refreshed the About page to better explain the book, its ecosystem, and the channels it ships through. (The AI Agent Factory — A Definitive Book and Ecosystem for the Agent Era)
2026-06-26
- Fixed the Getting Started course map so the engineer path now points to Course 17 for Build AI Agents and keeps the Digital FTE sequence aligned. (Getting Started: Crash Courses)
2026-06-25
- Reframed Personal Agent Harnesses as the shared step where readers build an owned persistent agent, with clearer OpenClaw and Hermes choices. (Personal Agent Harnesses)
- Added a new Mode 1 path with a task-diagnosis lesson and a bridge from one-off solves to workers. (Mode 1 — Problem-Solving)
- Added section overview pages for the General Agents and Mode 2 Manufacturing tracks, so each track now opens with a guided map. (General Agents, Mode 2 — Manufacturing)
About This Page
This book is continuously updated. Instead of version numbers, we track changes here so you can see what's new since your last visit.
- Each entry links to the specific lesson that changed
- A short digest is written once a day from the latest content changes on main
- Only changes to book content (not infrastructure) appear here
Tip: Bookmark this page to quickly check for updates.