THE BOOK
Augmented Expert
A practical guide to AI agents for non-developers
Beyond AI automation toward augmentation. The contest of augmentation is decided by domain expertise and strategy. This book contains the field-tested methods of an author who designed and commercialized those strategies, prompts, and content engines herself.
PUBPLE, 2026
AGENTIC AI × EXPERTISE
AI amplifies expertise, and expertise completes AI
A loop where augmentation compounds, rather than adds up
- AE
Augmented Expert
Where the four stages compound
- E
Expertise
Deep domain
- A
Amplify
AI leverage
- O
Output
Refined work
- T
Taste
Judgment
- and back to expertise, again
AUTOMATION vs AUGMENTATION
Augmentation outruns automation
Automation removes visible work, and it can remove invisible value along with it.
Before automating, use AI to deepen and extend the expertise built on your own experience, stories, and data.
Deciding what to automate and what to augment comes first.
AGENTIC AI
Sorting what to automate from what to augment
AI now decides, executes, evaluates, and improves on its own across your computer, browser, messengers, and cloud. It takes on most of the execution, technical or not. What it cannot replace is your lived experience, your stories, and your data.
Automate
Public data, work with clear logic
- Market and competitor research
- Newsletters, notes, reports
- Content production and distribution
- Performance data aggregation
Augment
Work that needs judgment, taste, strategy
- Positioning and marketing strategy
- Storytelling and content planning
- Insight and strategy extraction
- Customer messaging and response
Automation earns its keep only when it has a purpose, a return, and continuous improvement behind it.
AUTOMATION vs AUGMENTATION
When three hours become three minutes, what deserves your attention
Build an AI operating system around your own work and life, one that sharpens and widens over time, and spend what it frees on the work only a person can do.
Standing still
- An occasional question to a chatbot
- Stops at document work: research, notes, summaries
- More replaceable as models improve
- Competing against AI, faster every year
Expanding
- AI woven through the entire workflow
- Delegates from strategy through execution, review, and refinement
- Keeps widening scope and ownership
- Concentrates on what only a person can do
The more autonomously AI decides and acts, the more your perspective, taste, and judgment matter.
- Perspective
- Taste
- Judgment
- Decisiveness
Converged expertise that cannot be replaced
On top of the 95 percent AI fills, the decisive 5 percent only a person can. That is the Creative Finish.
AI GROWTH PATH
Where are you right now?
- 5
LEVEL 5
AI Amplifier
Expertise and AI amplify each other
- 4
LEVEL 4
AI Orchestrator
Directs several models at once
- 3
LEVEL 3
AI Builder
Builds their own tools and skills
- 2
LEVEL 2
AI Collaborator
Refines the work in dialogue
- 1
LEVEL 1
AI Consumer
Asks, commands, receives
If asking and commanding is Level 1, where do you want to be?
TABLE OF CONTENTS
A practical guide to AI agents for non-developers
- 01
The Augmented Expert
What it takes to thrive, not just survive
- 02
Context Engineering
From prompts to context, harnesses, and loop systems
- 03
Full-Stack and Quick-Stack Talent
Lean teams, ten times the output
- 04
Agentic Orchestration
How to direct several models
- 05
Outcome-Driven AI
Why 96 percent see no return
- 06
Marketing in AI Search
Zero-click, AEO, VEO
- 07
AI Agent Build
Building your own agent
- 08
The Agentic Marketing Playbook
Claude Cowork in practice
- 09
Building an AI Agent Team
A Claude Code collaboration system
- 10
The AI Marketing Workspace
Knowledge cycles with Google AI
FOR YOU
Written for you if
- Anyone who wants agentic AI to lift their limits of time and capacity
- Non-developers who stall at the words agent, automation, and coding
- Solo founders and leaders who must out-deliver a whole team
- Anyone who wants expertise and an AI OS that stays irreplaceable
- Anyone who wants research, reports, proposals, and content automated at quality
- Practitioners whose ChatGPT use stops at summaries and first drafts
Now it is your turn.
Augment yourself
Build an agent system that runs on your own work, data, and judgment. The moat it builds compounds with time.