# #7, Part 1 – 2025 in Review: Content Production

An episode of [Math Academy](https://invisiblenetwork.ai/podcast/1850798394), 10 Feb 2026, 1 h 08 min.

Audio: https://anchor.fm/s/10b341c58/podcast/play/115274888/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-1-10%2F417795067-44100-2-83f527ebc5b53.mp3

0:00 - Introduction 3:57 - Added 115 “Missing Middle” topics to SAT Prep 6:06 - Integrating the SAT Missing Middle topics into other courses 9:42 - Added tens of thousands of free response questions 10:34 - Free response questions are useful because they don’t prime you 13:33 - When to use free response vs. multiple choice questions 14:54 - Too many free response questions taxes learners 16:39 - Limiting the length of free response answers 18:08 - Building infrastructure for free response questions was a beast 20:42 - SAT test prep course 22:22 - Machine Learning has been the hardest course to develop so far. 23:12 - People who know machine learning, math, and how to teach them are rare 25:06 - The Eurisko book was the best resource for developing the Machine Learning course 28:51 - Balancing repetition and computational load in Machine Learning problems 29:43 - Designing minimum viable problems for Machine Learning 33:53 - Building the infrastructure for dynamic select questions was a nightmare 36:12 - Dynamic select questions are good for proofs and university-level math 38:03 - The Differential Equations course is almost finished 40:23 - Iterating on course development to make better courses 42:00 - 2026 is the year of scaling up course production 43:03 - How to scale up the team without sacrificing course quality 44:39 - Learning the hard way about hiring too quickly 46:20 - Challenges of managing a fully remote, geographically dispersed team 48:54 - Building tools to measure company output 50:06 - Optimizing content writer performance is like optimizing student learning 52:31 - Incentivizing content creation to improve output 56:36 - Courses planned for the longer term 58:01 - You need to learn concrete computations before abstract proofs 59:32 - Why we separate university-level courses into computational vs proof-based 1:01:07 - The best textbooks for beginners are NOT the most complex 1:02:37 - Teaching proofs and computations at the same time overloads most students 1:04:16 - Intuition through repetition 1:04:49 - Wisdom is the abstract compression of lived experiences 1:07:39 - Mastering details before abstracting Follow on X: Math Academy - https://x.com/_MathAcademy_ Justin Skycak - https://x.com/justinskycak Jason Roberts - https://x.com/exojason Alex Smith - https://x.com/ninja_maths

Shows are listed from Apple Podcasts' charts and directory, and Podcast Index where it is used. Every show and episode belongs to its publisher and plays from the publisher's own feed; this site hosts none of them.