Things we've learned about building AI products (newsletter.posthog.com)

PostHog has shared insights from its experience developing ten AI products, including PostHog AI and Replay Vision, which serve nearly 100,000 users monthly. A key takeaway is that integrating AI can sometimes degrade product quality, emphasizing that not every problem warrants an AI solution. PostHog suggests that products should be designed with AI capabilities in mind from the start, focusing on user needs rather than simply adding AI features. For instance, their AI install wizard dramatically reduces onboarding time, resulting in higher conversion rates. The company highlights the importance of reliability over capability, noting early user feedback centered on inconsistent performance rather than functionality. As AI models evolve, assumptions about product design must be revisited; thus, it’s critical to establish AI observability and refine prompts for efficiency. PostHog encourages developers to facilitate agent capabilities by allowing them to interact with code and simplify context management. Overall, the insights emphasize adaptability in product design, user-centric development, and the necessity of ongoing experimentation in the rapidly evolving AI landscape.