Job-Hunting With a Resume That Doesn't Look Like a Resume

AI tools for financial market analysis are appearing almost every day. Chart analysis, sentiment...

Be honest: when was the last time you opened a 400-line PR, scrolled through a sea of clean-looking...

Integrity-OS: Promise → Proof This is a submission for the Sanity Challenge, Path Two:...

If you only want the number: 1,000 words of ordinary English is roughly 1,300 tokens. Going the other...

This is the most common architectural flaw I encounter in enterprise agent deployments, and the...

The hidden costs of AI code generation

Lessons and code patterns from running Jev on 8,000 logs. Why discrete classification failed, how continuous probability fixed it, and the unit economics of pre-filtering.

Two models. Same prompt, same tool description, same request. One of them returned this: { "kind":...

A post by Daniel Nwaneri

An embedding is just a list of numbers on a map. Here's what that map is, why "cosine similarity" is only measuring an angle, and the two things that quietly break vector search.