Blogs

Practical AI engineering blogs you can read one idea at a time.

Blogs and field notes on product interfaces, backend workflows, RAG systems, agent control, LLM evaluation, observability, workshops, and deployment.

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How to use these blogs

  • Blogs explain one idea at a time, without forcing you into a long course path.
  • Each post focuses on product context, architecture, trade-offs, failure modes, and implementation direction.
  • Use blogs for quick learning, and use courses when you want a guided sequence.

Featured

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Articles

Deep technical blogs

5 posts

Article · AI Product Engineering

How AI Products Fail After the Demo

Jun 6, 20262 min read

A practical field note on why AI demos work in controlled settings but fail when real users, unclear workflows, stale data, and missing evaluation enter the system.

AI EngineeringProduct SystemsEvaluationRAG
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Field Notes

Practical lessons

1 posts

Field Note · Teaching and Workshops

What Makes a Full-Stack AI Workshop Useful

Jun 5, 20261 min read

A short note on designing AI workshops around real implementation work instead of only slides and definitions.

WorkshopsGenAITeachingFull-Stack AI
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Updates

Milestones and public activity

1 posts

Update · Portfolio Update

New Writing System Launched

Jun 6, 20261 min read

The portfolio now supports file-based articles, field notes, and news updates using GitHub-backed content.

PortfolioWritingMDXGitHub
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