Business and Economics

Accelerated: Building Smarter Products with AI

Vambah Sillah

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Length5h 54m

About this audiobook

What if the future isn't something that happens to you—but something you actively build? In a world where technology moves faster than policy, where AI reshapes industries overnight, and where access to innovation determines who thrives and who gets left behind, standing still is not an option. "Accelerated: Building Smarter Products with AI" is not just about artificial intelligence—it's a roadmap for those who refuse to be bystanders in the digital revolution. Drawing from years of hands-on experience in product management, Vambah Sillah delivers a no-nonsense guide to using AI as a tool for transformation and economic mobility. Inside, you'll discover: - Techniques to think like a product leader - AI strategies that work for real businesses - The mindset shifts that separate those who adapt from those who get disrupted - Practical frameworks to build, launch, and scale AI-driven products The digital revolution won't wait. Those who accelerate will be ready.

Artificial Intelligence

Futuristic

Political Intrigue

Exploration

Audiobook details

GenreBusiness and Economics

Length5 hrs 54 mins

Narrated bySelect Your Own

FormateBook with Audio

Publish dateMar 13, 2026

LanguageEnglish

1Opening Credits

19Chapter 14: The Decision Theater

2Dedication

20Chapter 15: Mapping the Decision Theater

3Epigraph

21Chapter 16: Influence Before Impact

4Foreword

22Chapter 17: The Shift

5A Critical Note on Data Safety

23Chapter 18: From Insights to Systems

Show all chapters

6Chapter 1: Build Smarter, Move Faster, Stay Human

24Chapter 19: To Jobs from Noise (ClientQ)

7Chapter 2: The Priority Trap

25Chapter 20: Synthetic Signals (SudoPoll)

8Chapter 3: Killing The Blank Page

26Chapter 21: Strategic Shifts (StratQuest)

9Chapter 4: Answer Driven Discovery

27Chapter 22: Designing the Future (VisionScope &amp; MarketCraft)

10Chapter 5: The Product Lifecycle Problem

28Chapter 23: Influence on Demand (Persuasive GPT)

11Chapter 6: Dynamic Personas

29Chapter 24: Acceleration At Scale

12Chapter 7: Discovery - From Feedback to Signal

30Chapter 25: The System That Learns

13Chapter 8: Roadmaps Without Regret

31Chapter 26: What Comes Next

14Chapter 9: From Doc to Dev - Writing PRDs that don’t Drift

32Bibliography

15Chapter 10: Learning Roadmaps

33About the Author

16Chapter 11: Push to Pull

34Closing Credits

17Chapter 12: The Metrics That Matter

35Retail Sample

18Chapter 13: The Learning Plan Framework

About the author

Vambah Sillah

Vambah is a Director of Product Strategy at a Fortune 500 company, and an innovator dedicated to transforming how technology and equity intersect in America. Raised in Roxbury, Massachusetts by a Liberian immigrant father and an African American mother, His life has been a study in systems—how they empower, how they exclude, and how they can be redesigned to unlock opportunity. His experience in the METCO program and his early exposure to both hardship and possibility shaped the lens through which he views equity, technology, and the future of work.View all by Vambah Sillah