AI for Product Dev: Achieve Scale but Avoid Slop
Balboa
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AI for Product Dev: Achieve Scale but Avoid Slop
69 просмотров · 6 дней назад
Balboa
15 подписчиков
69 просмотров · 6 дней назад
Engineering capacity used to be the big constraint every product team fought against. AI coding tools just removed it, and product and engineering leaders are finding out that constraint was helping more than anyone realized.
Facilitated by Jay Nathan, CEO at Balboa, and featuring Steve MacLaughlin, SVP, Product at Gobel, this session looks at what happens to product innovation once engineering can build almost anything, almost instantly.
TOPICS
0:00 Welcome & Intros
2:42 The Productivity Paradox
7:36 When Engineering Isn't the Bottleneck
14:26 The Product Triad in the AI Era
18:35 Getting Users to Trust AI
24:05 Validating Before You Ship
31:28 Outcomes Over Outputs: The Treadmill Problem
35:11 Pricing, Build vs. Buy, and Shipping Simple
HOSTS
Steve MacLaughlin, SVP, Product @ Gobel
/ maclaughlin
Jay Nathan, Co-founder and CEO @ Balboa
/ jaynathan
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