Artificial Intelligence: Case study—what killed our first assistant
1 min read
TL;DR
The blog post discusses a fallback mechanism implemented when their AI content generation service fails. This ensures complete blog posts are always published, prioritizing site functionality over AI content. Future steps include re-enabling stricter AI prompts, analyzing user engagement with AI vs. fallback content, and using data to iterate on the system.
Artificial Intelligence cmec6uh4n0000qmhi2qqno2ij">Artificial Intelligence: Case study—what killed our first assistant
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
AItechnologyresearchfutureblog