Artificial Intelligence: Conversational UIs beyond chat — risks, trade-offs, and roadmap
1 min read
TL;DR
This blog post discusses a fallback mechanism for a website using AI-powered conversational UIs. Even with AI service outages, the site ensures complete content delivery, prioritizing functionality over perfect AI generation. Future steps involve re-enabling stricter AI prompts, analyzing user engagement with AI vs. fallback content, and iterating based on user metrics.
Artificial Intelligence cmecs1gfj0000xg8dazj06aie">Artificial Intelligence: Conversational UIs beyond chat — risks, trade-offs, and roadmap
Fallback article because the AI service was unavailable or returned empty text.
Why this still works
Even when the model is down, the site continues to publish complete posts to test layout, navigation, and cross-linking.
Key ideas
- Always return a full body (never empty)
- Build related links after we have content
- Keep generation robust to transient API failures
"Perfect is the enemy of shipped."
Next steps
- Re-enable stricter prompts once stable
- Compare engagement on AI vs. fallback posts
- Iterate based on read time/scroll depth
Key terms
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