RAG Engineering Log: fixing retrieval before touching prompts

I turned implicit processes into explicit operating rules—defining owners, acceptance tests, and lightweight runbooks so teams can move confidently and recover quickly.

The friction I kept seeing was simple: teams over-rotate on tooling when alignment is the real bottleneck.

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

April is where Q2 intentions either become systems or remain slideware.

What I changed today

• I reduced unnecessary variability by standardizing one recurring pattern.
• I clarified ownership for one high-impact surface so escalations are faster.
• I aligned a technical decision with a business-facing success metric.

What I want to keep doing

The work felt less heroic and more repeatable, which is exactly the direction I want. Good systems feel calm because decision paths are explicit before incidents happen.

Tomorrow’s focus

Tomorrow I will review this with the team so the decision is shared, not personal.

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