Turning AI engineering work into useful public knowledge.

Why Engineerious exists

AI moves faster than anyone can casually keep up with — new models, new failure modes, new tooling every week. I didn’t want to fall behind, so I built Engineerious: a system that forces me to stay current, test what I read instead of just skimming it, and turn that work into something useful for other engineers instead of leaving it in my own notes.

What this site is for

AI engineering changes quickly, but reliable systems still depend on clear questions: What did we test? What failed? Which evidence supports the claim? What would make us change our mind?

I use Engineerious to work through those questions across evaluation, agents and MCP, retrieval, models, and production reliability. The goal is useful technical judgment, not a high-volume news publication.

Publishing standard

• First-person claims are reviewed before publication.
• Reported, tested, and opinionated claims are kept distinct.
• AI-generated or AI-assisted published text is disclosed.
• Primary sources and reproducible details are preferred.
• Corrections are part of the work, not an embarrassment to hide.

What comes next

I’m expanding the engineering blog, publishing focused model comparisons, and improving the research workflow behind each article. Automated feeds stay behind human review so speed never replaces judgment.