# #4, Part 2 – Knowledge Graph Engineering: Mental Models & War Stories

An episode of [Math Academy](https://invisiblenetwork.ai/podcast/1850798394), 3 Dec 2025, 1 h 20 min.

Audio: https://anchor.fm/s/10b341c58/podcast/play/111998252/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2025-11-2%2F413565585-44100-2-3f9f8ce711a5c.mp3

What we covered: – Building a knowledge graph is like city planning & road construction. Too many prerequisites leading into a single topic creates a cognitive traffic jam. – Elegantly rewiring a live knowledge graph: the evolution of our tooling and automatic validations. How to avoid staging servers & migrations and NOT have it blow up in your face. – UI work takes time and adds complexity, so we spend it on the customer. Internal tools are almost entirely command-line; clickable buttons are for customers. – Justin's transition from research coding to real-time systems. He started with mathy, notebook-driven quant code and had to learn production engineering the hard way. Once he did, it was a massive level-up. – Alex's plan for dealing with "content papercuts" - small issues that pile up. Inspired by Amazon’s “papercuts team.” – Our upcoming differential equations course, the last course in the core undergrad engineering math sequence. Timestamps: 00:00:00 - Building a production-grade knowledge graph is like city planning and road construction 00:07:26 - Elegantly rewiring a live knowledge graph: the evolution of our tooling and automatic validations 00:24:47 - Justin's transition from research coding to real-time systems 00:44:51 - Alex's plan for dealing with "content papercuts" - small issues that pile up 00:58:02 - Our upcoming differential equations course Follow on X: Math Academy - https://x.com/_MathAcademy_ Justin Skycak - https://x.com/justinskycak Jason Roberts - https://x.com/exojason Alexander Smith - https://x.com/ninja_maths

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