LLM Evaluation Journal: reducing hallucinations through better test design

I spent the day reducing cognitive overhead for engineers and analysts—introducing clearer table contracts, simpler failure modes, and concise runbooks that let teams act faster.

The friction I kept seeing was simple: most delays come from hidden dependencies, not from missing features.

Instead of adding more moving parts, I tested a smaller scope with clearer acceptance criteria.

March for me has been about tightening execution after an idea-heavy February.

What I changed today

• I documented one decision that usually lives in hallway conversations.
• I reduced unnecessary variability by standardizing one recurring pattern.
• I clarified ownership for one high-impact surface so escalations are faster.

What changed my thinking

Delivery speed held, while ambiguity dropped. That is a win in real teams. Across these projects, clarity in operating rules keeps outcomes stable under pressure.

Tomorrow’s focus

Tomorrow’s focus is to stress-test this with less ideal inputs and see where it bends.

References

• RAG design and evaluation guide
• Azure Well-Architected for AI workloads
• Microsoft Foundry documentation\n\n## Takeaways\n\nAdd a concise, personal takeaway and recommended next steps here.\n