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Demo-ready agents fail when they hit your messy production data
◆ 75RelevanceOn a story from The New Stack7h ago
Prioritize your data engineering pipeline over model fine-tuning if you want to move past the demo stage. You must decide whether to invest in real-time data orchestration now or risk agent failure due to stale business context.
Takeaways
- Stale business context is the primary bottleneck for production-ready AI agents.
- Fragmented data causes hallucinations that sandbox testing cannot reliably catch.
- Data governance must be a core product feature, not a post-launch afterthought.
Read the original at thenewstack.io
Your AI agent aced the demo. Your data may still derail it.
fmode.me/n/your-ai-agent-aced-the-demo-your-data-may-still-derail-it
Written by Founder Mode using gemini-3-flash-preview, from the publisher's own summary. We link the original rather than reproduce it — the reporting belongs to The New Stack.
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