// author · January 2027 releases
Books for the agentic era.
Two books, one thesis: when AI makes output abundant, human judgment and engineered trust become the scarce advantage.
Launching January 2027
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Beyond AI Engineering waitlist
AI vs. AI waitlist
Coming January 2027 · Volume I
Beyond AI Engineering
From Creator to Curator — The Engineering After Code
AI can increasingly write the implementation. Your advantage moves to judgment. A career operating system for the agentic AI era — moving from Creator to Architect to Orchestrator.
11
Chapters
15
Infographics
9
Career artifacts
The fundamental shift
Output is abundant. Judgment is scarce.
01 · abundant
Code →
Syntax generation drops to zero marginal cost
02 · abundant
Content →
Docs, specs and tests multiply instantly
03 · abundant
Models →
Frontier and open models accessible to all
04 · abundant
Automation →
Pipelines run continuously
The C.A.O. framework
Creator → Architect → Orchestrator
GUIDING QUESTION
"What should be built, and what invariant boundaries protect it?"
TYPICAL ROLE
Staff Engineer / Systems Architect
CORE CAPABILITIES
- Systems thinking
- Trade-offs
- AI product sense
- Risk mitigation
- Business context
PRIMARY RISK
Over-engineering without customer validation.
Interactive diagnostic
Where are you today?
Most engineers are a blend. Slide to describe how you spend your week.
YOUR CENTER OF GRAVITY
Creator
Your next breakthrough: grow your Architect muscles. The book maps the weekly experiments to get there.
Take the full C.A.O. assessment ↗Who it's for
You already know how to build. Learn where your value moves when AI handles implementation.
Build evidence, not notes
9 career artifacts you'll create
Coming January 2027 · Cybersecurity volume
AI vs. AI
Engineering the Cybersecurity Counteroffensive
A technical deep dive with empirical case studies on building autonomous, real-time AI counteroffensive architectures to defend against adversaries wielding weaponized AI.
Detect
Real-time agent telemetry
Decide
Verified autonomous loops
Defend
Counteroffensive at machine speed
AI vs. AI · inside the counteroffensive
When both sides have AI,
trust becomes the advantage.
01
The adversarial AI shift
What changes when adversaries use AI to accelerate reconnaissance, adapt attacks and scale their operations.
02
Autonomous defense architectures
Connecting agent telemetry, real-time detection and response into a coordinated security system.
03
Trust before autonomy
Verification, permission boundaries and human accountability for systems that act at machine speed.
04
Evidence over promises
An empirical, case-study lens on the trade-offs of AI-powered counteroffensive systems.
For the people building the defense
Security engineers & architects
AI / ML practitioners
CISOs & technical leaders
Researchers in autonomous defense
Coming January 2027 · Explore the book's dedicated website for updates.