THE STACK TRACE

● systems-design explainers for the AI stack

AI infrastructure, explained like it's a system you can actually trace.

Clean, animated, systems-design-style explainers on how AI/ML tooling actually works — vector search, RAG pipelines, agent frameworks, inference serving — the plumbing layer most content skips past.

Episodes

2 published
01
Episode 01

How Vector Search Actually Works

From brute-force comparison to the approximate algorithms that make searching millions of vectors feel instant.

Watch on YouTube
02
Episode 02

How RAG Pipelines Actually Work

What actually happens between a question and a grounded answer — retrieval, augmentation, generation, and the three failure modes behind most bad RAG answers.

Watch on YouTube

New episodes on AI infrastructure internals, dropped every few weeks.

What this channel is for

For engineers

Understand what's actually happening underneath the AI tools you use or build with — not hand-wavy explanations, real systems-design detail.

For technical leaders

Evaluating a vendor's AI claims, doing technical diligence on an acquisition, or assessing whether your own stack is AI-ready? Start here.

Contact

get in touch