Evaluation Is an Engineering Problem
Why AI evaluation is not a report card after launch, but a design constraint from day one.
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Blog
AI engineering essays and practical lessons.
General notes across projects: production thinking, evaluation, deployment, architecture choices, and lessons beyond the demo.
Essay library
Build beyond the demo.
These posts are the connective tissue around the projects: how to think, what to test, what usually breaks, and what to design before production pressure arrives.
AI Systems Need Evidence, Not Just Outputs
A practical framework for making AI outputs reviewable, traceable, and trustworthy in real workflows.
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From Demo to System: The Practical AI Checklist
A compact 8-check framework for deciding whether an AI idea deserves a production workflow, before you spend weeks building around it.
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Why Most AI Demos Fail Before Production
A visual guide to the gap between a working AI demo and a production workflow that survives real inputs, users, review, cost, and failure.
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