For business owners and functional leaders who want useful AI, not a louder demo.
FIELD NOTE 01 / THE FIRST PILOT↘
01Business outcome
→
02AI-fit task
→
03Guardrails & measures
→
04Controlled pilot
Start with the work that matters. Then make the experiment small enough to learn from.
USEFUL · DELIBERATE · HUMAN · MEASURED ·USEFUL · DELIBERATE · HUMAN · MEASURED ·
01 — THE BOOK
A field guide for the part that comes after the demo.
Most conversations about AI begin with possibility. This book stays with the harder, more useful questions: where a capability fits, what it needs to work, and who remains accountable when it does not.
THE WORKING BRIEF
From Possibility to Pilot
What Generative AI Can Do, What It Cannot Do Yet, and How Business Leaders Can Start Safely
Length
35,000–45,000 words
Manuscript
Target: end of August 2026
Practice
Singapore · Vietnam · global
READERS WILL LEARN TO
01Find useful AI opportunities
02Separate real value from impressive demos
03Reject unsuitable or risky use cases
04Design a safe first pilot
05Set review, accountability, and measurement practices
02 — TABLE OF CONTENTS
From possibility to a decision you can defend.
Four parts, thirteen chapters, and a set of decision tools for moving from “What could AI do?” to “What should we do next?”
Every chapter opens with a real case, then turns the lesson into a practical capability map and a decision tool.
PART I
See Clearly
Understand how Generative AI behaves before making an adoption decision.
01
The Decision Is Not ‘Should We Use AI?’
Decision tool: AI Decision Brief
↗
02
A Model Is a Probabilistic Collaborator
Decision tool: Trust-Boundary Worksheet
↗
03
The Capability Map
Decision tool: Capability–Risk Map
↗
04
Start With the Work, Not the Tool
Decision tool: Workflow Decomposition Canvas
↗
PART II
Choose Wisely
Find valuable work, and learn to say no to demos that should not become systems.
05
Where AI Earns Its Keep
Decision tool: AI Use-Case Scorecard
↗
06
Good Demo, Bad Use Case
Decision tool: Reject-or-Proceed Risk Gate
↗
07
Context Is the Product
Decision tool: Context-Readiness Checklist
↗
08
Human Judgment Is Part of the System
Decision tool: Human Decision-Rights Map
↗
PART III
Pilot Safely
Turn a promising idea into a small, measurable experiment with real guardrails.
09
Design the Smallest Useful Pilot
Decision tool: Safe Pilot Charter
↗
10
Guardrails People Actually Use
Decision tool: Minimum Viable Guardrail Set
↗
11
From System of Record to System of Action
Decision tool: Build–Buy–Integrate Matrix
↗
12
Measure, Kill, Scale
Decision tool: Pilot Review Scorecard
↗
PART IV
Lead the Journey
Build a repeatable practice for seeing, selecting, shielding, piloting, learning, and scaling.
13
Your AI Decision Journey
Decision tool: AI Decision Journey Map
↗
03 — THE CAPABILITY MAP
Possibility is not the same as permission.
The useful question is not only “Can the model do this?” It is “What would make this responsible enough to try?”
01↘
What AI can do now
Create, transform, summarize, classify, retrieve, analyze, and use tools within defined boundaries.
02↘
What AI needs
Relevant context, trusted source material, examples, clear instructions, human review, and escalation paths.
03↘
What AI cannot own yet
Truth, accountability, unstated context, business judgment, ethics, and risk ownership.
04 — THE INVITATION
The best examples are already happening inside real work.
I’m speaking with AI practitioners, business owners, and functional leaders about how they actually use AI: what works, what fails, what they stopped doing, and what they would test next.
FOR CURIOUS READERS
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From Possibility to Pilot | A practical book for leaders deciding where AI belongs