The core principles of building a good AI feature

AI's integration into products is a current trend, but not all features are successful or genuinely innovative; many are merely superficial enhancements. At an OpenAI developer event, Sam Altman advised startups against competing directly with ChatGPT or creating features that offer minor improvements over existing LLM services. Successful AI features, as outlined, should offer low friction and utilize unique data. For example, GitHub's Copilot and Notion's AI search are highlighted as successful due to their seamless integration and exclusive data access. In practice, AI features should enhance an existing user experience, as demonstrated by Graphite's AI-generated branch names, which simplify the naming process while leveraging unique data. The future might see changes in AI's role within products, but currently, the focus remains on creating user-friendly features that stand out due to their low friction and data uniqueness.

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