Engineering notes
Practical engineering notes on embedded validation, agentic systems, and machine learning.
Twenty in-depth articles on building reliable automation, reviewable AI workflows, and maintainable ML systems.
Featured · Jul 25, 2026
Agentic Workflows Need Boundaries, Not More Autonomy
The useful question is not how much an AI agent can do, but which actions it may take, under what conditions, with what evidence, and who remains accountable.
Jul 24, 2026
A Practical RAG Pipeline Starts Before Retrieval
Retrieval-augmented generation is not an embeddings feature. It is a controlled path from approved sources to a grounded answer, with access, freshness, and evaluation designed into every stage.
Jul 23, 2026
How to Evaluate an Agentic Workflow Before It Touches Production
An agent is not ready because its answers look plausible. Evaluate the complete workflow across task quality, grounding, tool use, permissions, recovery, and human review effort.
Jul 13, 2026
Prompt Injection Is a System-Boundary Failure
Treat retrieved documents, messages, webpages, and model output as untrusted data. Security comes from separating instructions, evidence, authority, and deterministic enforcement.
Jul 12, 2026
Human Approval That Actually Controls an Agentic Workflow
An approval gate is meaningful only when the reviewer sees the exact action, evidence, uncertainty, and consequence—and the system executes nothing materially different afterward.