How Session Replay + Online Evals Revealed My Holiday Pet App's AI
The article describes how the author used LaunchDarkly's observability tools, including session replay and online evaluations, to monitor and improve their holiday pet casting app powered by AI.
Why it matters
Observability is crucial for production AI systems to ensure reliability and user satisfaction.
Key Points
- 1Session replay showed users had a 40-second patience threshold without progress indicators
- 2Adding clear progress steps more than doubled the app's completion rate (35% to 80%)
- 3Online evaluations provided real-time accuracy scores for the AI's casting decisions
Details
The author built a holiday pet casting app that uses AI for personality analysis, role matching, costume generation, and evaluation. To monitor the app's performance, they integrated LaunchDarkly's observability tools. Session replay recordings showed users would often abandon the app after 20-30 seconds if they didn't see progress indicators. By adding clear visual steps like 'Generating Costume Image (10-30s)', the completion rate improved from 35% to 80%. Additionally, online evaluations provided real-time accuracy scores for the AI's casting decisions, allowing the author to validate the model's performance in production.
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