Original research
Original data and analysis from Chain of Thought. Every report ships with its methodology and the underlying numbers — cite freely, link back.
This section is for analysis with a stated dataset and method. Start with The State of AI Podcast Feeds, which examines public RSS feed declarations, publishing cadence and feed hygiene. Its collection date and methodology matter when interpreting the results: a feed's transcript tag tells you what the feed declares, rather than proving whether a transcript exists elsewhere.
Read the report's scope and limitations before reusing a figure, then consult its downloadable data to check the comparison. For the conversations behind the wider site, visit the episode archive. The AI infrastructure hub and evaluation hub provide other routes into the engineering discussions; the essays develop arguments from those conversations.
A public-signal benchmark of 8 AI engineering podcasts: feed-declared transcripts, publishing cadence, feed hygiene, catalog depth, and recency. Five of the eight declare zero transcripts in their RSS feeds. Data collected June 11, 2026.
5 of 8
