Accelerated: Building Smarter Products with AI
By Vambah Sillah
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.
Audiobook details
GenreBusiness and Economics
Length5 hrs 54 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateMar 13, 2026
LanguageEnglish
Table of contents
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 chaptersShow less
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 & 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
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