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Building eval systems that improve your AI product
A practical guide to moving beyond generic scores and measuring what matters
Sep 9
•
Hamel Husain
and
Shreya Shankar
312
10
Why your AI product needs a different development lifecycle
Introducing the Continuous Calibration/Continuous Development (CC/CD) framework
Aug 19
•
Aishwarya Naresh Reganti
and
Kiriti Badam
507
4
Essential reading for product builders—part 2
10 more timeless essays you probably haven’t read but should
Aug 12
•
Lenny Rachitsky
321
2
25 proven tactics to accelerate AI adoption at your company
Practical advice from AI-forward companies like Shopify, Ramp, Zapier, Duolingo, Intercom, and Whoop
Aug 5
•
Peter Yang
292
Essential reading for product builders—part 1
7 timeless essays you likely haven’t read but should
Jul 15
•
Lenny Rachitsky
354
26
What people are vibe coding (and actually using)
50+ useful/fun/clever examples of what non-technical people are building—to inspire your own vibe-coding journey
Jul 8
•
Lenny Rachitsky
437
30
How to get your entire team prototyping with AI
A guide to creating AI prototypes that match your brand and are integrated into every step of your development lifecycle
Jun 10
•
Colin Matthews
280
6
How to ship like a startup
Seven lessons from the story of Figma Slides
Mar 25
•
Mihika Kapoor
276
7
A guide to AI prototyping for product managers
How to turn your idea into a working prototype in minutes
Jan 7
•
Colin Matthews
640
15
How should you monetize your AI features?
What we can learn from the monetization strategies of leading tech companies, including GitHub, Zapier, Adobe, Loom, and Microsoft
Jul 30, 2024
•
Palle Broe
183
5
Counterintuitive advice for building AI products
Lessons from 20+ top product builders, including Scott Belsky, Elad Gil, Rahul Vohra, and Sarah Guo
Jul 2, 2024
•
Kyle Poyar
172
3
My favorite decision-making frameworks
Templates and guides to help you make better decisions with less drama
Feb 6, 2024
•
Lenny Rachitsky
266
5
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