Download expanded insights
This site is a concise weekly overview of selected non-technical AI podcasts.
Course URL: Weekly summaries for non technical AI podcasts
Weekly summaries for non technical AI podcasts accompanies this weekly preview but is not required to use the site. Use this site for free weekly skims, and use the course when you want deeper structured notes and access to the full material.
Why OPML and Dynalist fit this workflow
Weekly output is distributed as OPML because it works very well with Dynalist:
- Outline browsing: The file opens as a hierarchy, so you can scan episodes and sections visually.
- Search: Dynalist has powerful search capabiities which allow you to search by keyword, by hashtag, within a given podcast (using the ancestor keyword) etc.
- Tags: Insights can include hashtags. Filtering by tag groups related points; show-level tags help you see everything from one podcast together.
- Progress: Checklists make it easier to see what you have already worked through.
- Bookmark: You can bookmark the insights you want to revisit later. While you can already bookmark episodes inside Spotify itself, this allows you to bookmark specific insights from the podcast. You can also name them so that you can recall them more easily later.
OPML remains a portable, text-based format; the outliner is where day-to-day review is most practical.
Episode pages and the course
On this site, each episode’s Insights block follows two patterns: for preview weeks from January 2026 through the week of March 20–26, 2026, all insights include timestamps and answers; for later weeks, the first two insights include a timestamp and brief answer while the rest are questions only. This mirrors the overall split between free preview access and the deeper full-site/course material.
To compare, open a fully expanded preview week such as the week of March 20–27, 2026, then open a later week such as March 27–April 3, 2026. OPML files for the fully expanded preview range are available to download for free from the course as well: Weekly summaries for non technical AI podcasts.