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"It was a wonderful experience interacting with you and appreciate the way you have planned and executed the whole publication process within the agreed timelines.”
Subrat SaurabhAuthor of Kuch Woh PalHead of AI at Hiver, where he leads AI products development for a customer support platform used by 10,000+ teams. He builds AI that ships – and writes honestly about what doesn’t.Read More...
Head of AI at Hiver, where he leads AI products development for a customer support platform used by 10,000+ teams. He builds AI that ships – and writes honestly about what doesn’t.
Read Less...
Most AI products fail not because the model is wrong, but because the product is. This book is the corrective.
Every SaaS team is shipping AI. Few are shipping AI that works. Built from real world experience leading AI at a platform serving 10,000+ teams, this book replaces hype with hard-won lessons – including the failures nobody talks about.
From choosing the right problems, to building trust through design, to proving ROI to customer
Most AI products fail not because the model is wrong, but because the product is. This book is the corrective.
Every SaaS team is shipping AI. Few are shipping AI that works. Built from real world experience leading AI at a platform serving 10,000+ teams, this book replaces hype with hard-won lessons – including the failures nobody talks about.
From choosing the right problems, to building trust through design, to proving ROI to customers – this is the practitioner’s guide to AI that delivers outcomes, not demos.
INSIDE
Problem Selection
Signals Over Data
Trust & UX
Prompt Engineering
AI Workflows
Shipping Safety
Cost & Scale
Monetization
Measuring ROI
Most AI products fail not because the model is wrong, but because the product is. This book is the corrective.
Every SaaS team is shipping AI. Few are shipping AI that works. Built from real world experience leading AI at a platform serving 10,000+ teams, this book replaces hype with hard-won lessons – including the failures nobody talks about.
From choosing the right problems, to building trust through design, to proving ROI to customer
Most AI products fail not because the model is wrong, but because the product is. This book is the corrective.
Every SaaS team is shipping AI. Few are shipping AI that works. Built from real world experience leading AI at a platform serving 10,000+ teams, this book replaces hype with hard-won lessons – including the failures nobody talks about.
From choosing the right problems, to building trust through design, to proving ROI to customers – this is the practitioner’s guide to AI that delivers outcomes, not demos.
INSIDE
Problem Selection
Signals Over Data
Trust & UX
Prompt Engineering
AI Workflows
Shipping Safety
Cost & Scale
Monetization
Measuring ROI
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