Common pitfalls in building generative AI applications include using AI unnecessarily, confusing poor product design with bad AI, starting with overly complex solutions, overestimating early success, relying solely on AI for evaluation, and lacking a strategy for use case selection. Focus on practical applications, user experience, validated evaluation methods, and strategic planning to avoid these errors.
Table of contents
1. Use generative AI when you don't need generative AI2. Confuse 'bad product' with 'bad AI'3. Start too complex4. Over-index on early success5. Forgo human evaluation6. Crowdsource use casesSummary27 Impressions