Founder, Delight Path
Product Coach and Educator

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Every company is racing to add AI features. The problem? Most AI products feel robotic and frustrating, no matter how technically impressive.
You've seen it:
Customers abandon your AI chat after one try
Users ignore your "smart recommendations"
Your personalization falls flat despite perfect technology
The real issue: Speed and intelligence don't create loyalty. They don't create fans who tell their friends or the "core memories" that turn users into evangelists.
This course solves the critical gap: How to build AI that users genuinely love, not just tolerate.
You'll learn the proven frameworks from exclusive case studies from Adobe, Spotify, Mailchimp, Zappos, and others that have mastered:
Why high-emotion companies outperform markets by 800%+
The three pillars of hyper-personalization (Contextual Intelligence, Emotional Resonance, Anticipatory Design)
The trust equation that separates helpful AI from creepy surveillance
This course is based on the forthcoming O'Reilly book Delightful Intelligence (September 2026) by Ramli John and C. Todd Lombardo.
Learn how to build AI products that turn users into evangelists with proven delight frameworks.
Learn from real case studies from Mailchimp, Spotify, Adobe, and others
Apply the framework to your product roadmap via hands-on workshops
Leave with a concrete 90-day implementation plan that transforms one critical AI feature from functional to delightful
Learn frameworks for embedding delight into OKRs, roadmaps, and feature prioritization
Build your team's capability to identify and design for 25 distinct positive emotions
Build your team's capability to identify and design for 25 distinct positive emotions
Product Managers building or enhancing AI features who want users to love their products, not just use them—and need proven frameworks now.
Product Leaders defining AI strategy who need to justify delight investments with data and build cultures that create emotional connections.
Product Designers creating AI experiences who want to design interactions that feel magical, not robotic
Apr
7
Apr
9
Apr
14
Apr
16
Live sessions
2 hrs / week
Tue, Apr 7
4:00 PM—5:00 PM (UTC)
Thu, Apr 9
4:00 PM—5:00 PM (UTC)
Tue, Apr 14
4:00 PM—5:00 PM (UTC)
Thu, Apr 16
4:00 PM—5:00 PM (UTC)
Async content
1 hr / week
$750
USD