Behind the Craft OpenAI and Ex-Shopify Product Lead Reveals How He Builds AI Products | Miqdad Jaffer
Jul 28, 2024
Miqdad Jaffer, former head of AI products at Shopify and now leading enterprise products at OpenAI, discusses the unique challenges of building AI products. He emphasizes that traditional product development methods often fall short for AI. The conversation reveals how Shopify's rapid iteration and user-driven design helped launch generative AI tools. Jaffer also dives into the importance of managing AI's edge cases and hallucinations, advocating for principles that prioritize user control and privacy in AI development.
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AI Product Development Challenges
- Traditional product development struggles with AI's unpredictable edge cases.
- Building AI products requires anticipating that everything that can go wrong, will go wrong.
Shopify's AI Beginnings
- Shopify started its AI efforts by focusing on a small, specific use case: product descriptions.
- They prioritized shipping quickly to get user feedback, rather than creating a large strategy document.
Shopify's "Get Shit Done" Process
- Shopify utilizes a "Get Shit Done" (GSD) process to accelerate AI product development.
- This involves asynchronous reviews, Slack channels, and demo videos for feedback, minimizing meetings.