Articles

AI engineering notes from real workflow work

Practical writing on agentic systems, orchestration, automation design, and the operating patterns behind reliable AI delivery.

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RAG • Mar 13, 2026

DropTicks Field Notes: RAG source quality

Opinionated engineering notes for practical AI and software delivery. how document quality, chunking, metadata, and citations affect answer quality

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RAG • Mar 11, 2026

Scaling Notes: RAG source quality

How the workflow changes as traffic, users, or data volume grows. how document quality, chunking, metadata, and citations affect answer quality

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RAG • Mar 10, 2026

Tooling Map: RAG source quality

A map of useful tools, libraries, and platform decisions. how document quality, chunking, metadata, and citations affect answer quality

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RAG • Mar 08, 2026

Team Workflow: RAG source quality

How engineering, product, and operations teams should collaborate. how document quality, chunking, metadata, and citations affect answer quality

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RAG • Mar 07, 2026

RAG Is Not Enough: Retrieval Needs Evals, Routing, and Observability

Reliable retrieval systems need measurable answer quality, retrieval quality, traces, reranking, and failure review.

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RAG • Mar 07, 2026

Deployment Playbook: RAG source quality

How to prepare the workflow for CI/CD and production operations. how document quality, chunking, metadata, and citations affect answer quality

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RAG • Mar 05, 2026

Security Review: RAG source quality

The security and permission concerns that should be reviewed. how document quality, chunking, metadata, and citations affect answer quality

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RAG • Mar 04, 2026

Evaluation Strategy: RAG source quality

How to measure quality, reliability, and operational readiness. how document quality, chunking, metadata, and citations affect answer quality

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RAG • Mar 02, 2026

Common Failure Modes: RAG source quality

The mistakes teams should identify before launch. how document quality, chunking, metadata, and citations affect answer quality

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