- Edition Note: From Using AI to Managing AI Work
- Operating Proposition: From Assistance to Execution
- How to Use the Playbook
- Prompt Engineering Standard 1.1 at a Glance
- Navigation: Categories, Indices and Prompt Chains
- Q4 2026 Executive Brief
- Entering Q4 2026: The Operating Model Is Now the Constraint
- Scale Only What You Can Control
- Operating Frameworks
- From Assistance to Execution
- AI Work Design
- AI Work Allocation Matrix
- Delegation Contract
- Context Stack
- Verification Ladder
- Judgment Threshold
- AI Value Equation
- Machine Management Operating System
- Human Advantage Model
- Five Management Questions
- From Framework to Prompt Engine
- Prompt Engine Introduction
- How to Read a Prompt Card
- Complexity × Verification
- Inputs, Variables & Tool Requirements
- From One Prompt to a Prompt Chain
- AI Tools & Workflows
- Business & Productivity
- Marketing & Sales
- Content Creation
- Social Media
- Personal Growth
- Retrieval Indices
- By Category
- By Business Outcome
- By Complexity
- By Tool Requirement
- Prompt Chain Quick Reference
- Methodology, QA & Release
THE AI PLAYBOOK: Q4 2026
Professional Edition: From Assistance to Execution
This book is 100% completeLast updated on 2026-10-04
Move from using AI to managing AI work. A 457-page professional operating resource with 360 executive prompts, 12 prompt chains, 24 worked examples and practical frameworks for controlled, repeatable and verifiable AI execution.
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About
About the Book
AI is moving from assistance into execution. The management challenge is no longer simply how to get a better answer from a model. It is deciding what work AI should perform, what authority it should receive, how its work is verified, and who remains accountable for the result.
THE AI PLAYBOOK: Q4 2026 - Professional Edition is a 457-page operating resource for leaders and professionals who want to move from using AI to managing AI work. It brings together 360 executive prompts, 12 prompt chains, 24 worked examples and 12 operating frameworks covering work design, delegation, context, verification, judgment, value, machine management and human advantage. Its six practice areas span AI Tools & Workflows, Business & Productivity, Marketing & Sales, Content Creation, Social Media and Personal Growth.
Its six practice areas span AI Tools & Workflows, Business & Productivity, Marketing & Sales, Content Creation, Social Media and Personal Growth.
This is not a generic prompt collection. Each prompt is structured around a defined business outcome, required inputs, complexity, verification requirements, tool access and an explicit output contract.
Your Professional Edition includes:
• 457-page THE AI PLAYBOOK: Q4 2026
• 360-Prompt Professional Library
• Searchable Prompt Retrieval Directory
• Prompt Chain Execution Workbook
• AI Work Implementation Workbook
• Executive Quick-Start Guide
• Professional-Use Licence
The Playbook provides the intellectual and operating foundation. The Professional Toolkit helps you retrieve, adapt, execute and implement the work in practice.
Together, the Playbook and Toolkit form a professional operating resource for controlled, repeatable and verifiable AI execution.
Author
About the Author
Logan Sivanasen
I am a global commercial, marketing and growth leader with more than 20 years of experience across SaaS, DaaS, AdTech, MarTech, Big Data, location intelligence, digital commerce, retail and AI-led transformation.
Across my career, I have worked at the intersection of commercial strategy, technology, marketing and business transformation, contributing to more than US$130 million in cumulative commercial impact. My recent leadership experience has spanned six regions, 19 countries, multiple brands and solution portfolios, with responsibility for global teams, go-to-market strategy, demand generation, marketing operations and revenue-led growth.
Artificial intelligence now forms a significant part of my professional, research and publishing work. My areas of focus include AI strategy, generative AI, agentic AI, AI governance, responsible AI, human-machine collaboration, prompt engineering, retrieval-augmented generation, AI-enabled workflows, automation, decision systems and the organisational redesign required as machines take on more execution.
I hold a Six Sigma Black Belt and have completed extensive professional certification and advanced learning across artificial intelligence, AI strategy, generative AI, responsible AI, governance, agentic workflows, analytics, automation, digital transformation, marketing and business strategy. I am also pursuing a Commonwealth Executive MBA, bringing together commercial leadership, structured problem-solving and continuous professional development.
I write and publish extensively on artificial intelligence, commercial strategy, marketing transformation, growth, the future of work and organisational decision-making. My work includes more than 100 articles, white papers, executive briefings and research-led publications developed for business leaders, practitioners and professionals.
My writing is published across LinkedIn, Academia.edu, SlideShare and Speaker Deck. My research publications and scholarly records also extend across Zenodo and SSRN, with my research identity connected through ORCID.
A significant body of my current work examines the practical consequences of AI moving from assistance into execution. This includes AI governance, agentic systems, verification, human accountability, work redesign, decision quality, automation risk, commercial transformation and the management systems organisations need around increasingly autonomous technology.
My approach to writing is practitioner-led and evidence-informed. I focus on translating complex shifts in technology and business into clear frameworks, operating principles and decision tools that leaders and professionals can apply to real work.
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