

Building AI Products
11 snips Sep 16, 2025
Explore the evolving landscape of AI product management, distinguishing between AI-powered and AI product managers. Discover the intricacies of prompt engineering, including its unique demands and the importance of system design. Learn why observability is crucial for LLM products and the challenges of assessing non-deterministic features. Plus, unpack the hidden maintenance costs of AI solutions and insights into effective risk mitigation strategies. This conversation offers a roadmap for navigating the complexities of building AI products!
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Building A Real AI Product
- Teresa Torres describes building a real AI product over several months, not just casual prompting experiments.
- She realized this required new skills beyond everyday ChatGPT usage.
Two Kinds Of AI Product Roles
- Distinguish an AI-powered product manager from an AI product manager because the latter builds products based on AI.
- Existing materials focus on using AI to do work, not on building AI-native products.
Design Prompts For Scale
- Don’t equate personal ChatGPT prompting with product prompts; product prompts must work reliably at scale.
- Design prompts to succeed on the first try for many users, not through iterative back-and-forth.