A Guide to Preventing AI Hallucinations
While working on AI workflows recently, one thing became very obvious:
Hallucinations are rarely just model problems.
In most cases, the bigger issues are:
- outdated internal docs
- poor retrieval
- missing guardrails
- weak evaluation pipelines
- no monitoring after deployment
A lot of teams still think better prompts will solve everything.
But once AI touches real users or business workflows, the surrounding system matters more than the model itself.
This article explains that idea well:
https://capestart.com/technology-blog/ai-hallucination-prevention/
Curious how others here are reducing hallucinations in production systems.
