What written resources does the Chain of Thought Podcast offer?

Updated

The Chain of Thought Podcast publishes more than audio. Alongside each episode it offers show notes and transcripts, and it maintains a separate library of short written explainers that answer common questions from AI builders. A newsletter delivers new episodes plus the host's essays. If you want to read rather than listen, the explainers and transcripts are the two main entry points.

Show notes and transcripts

Every episode page includes a "Show notes & transcript" link, so you can read the conversation instead of playing the audio. The episode listing shows this pattern consistently — for example, EP 77 with Kimberly Logan of Walrus Protocol, EP 76 with Sonar CTO Andrea Malagodi, and EP 75 with WisdomAI CPO Kapil Chhabra each carry a show notes link alongside the audio player and a "Download the episode audio" option.

Use this when you want to search a specific claim, quote a guest accurately, or skim a long episode before deciding whether to listen. Episode runtimes run long — EP 75 is listed at 83 minutes — so a transcript is often the faster path to the part you need.

Explainers: plain answers to builder questions

The site hosts a written explainer section described as "Plain answers to the questions builders ask, each linked to the guests who have dealt with it in production." As of the site's October 8, 2026 figures, it lists 73 explainers.

Each explainer pairs a question with the episode or guest who addressed it. Examples from the index:

Question Topic area
Why do most enterprise AI projects fail to show ROI? Enterprise AI
How do you give an AI agent an identity and permissions? AI Security
Should you evaluate AI with an LLM-as-a-judge or with human review? AI Evaluation & Reliability
Should you build a single agent or a multi-agent system? Multi-Agent Systems
What are AI agent guardrails, and how do you set them? AI Agents
What are AI evals, and what should leaders know about them? AI Evaluation & Reliability

This is the resource to start with if you have a specific decision to make — choosing an evaluation method, or deciding between one agent and several — and want a short written answer that points back to a practitioner who has handled it.

Browse by topic

Explainers are organized under topic headings rather than only by date. The listed topics include:

  • AI Agents
  • AI Evaluation & Reliability
  • Enterprise AI
  • Open Source AI
  • RAG & Retrieval
  • AI Hardware
  • AI Observability
  • AI Coding
  • Agent Memory
  • Multimodal AI
  • Context Management

Use the topic index when you don't have a single question in mind but want to see everything written on, say, agent memory or AI observability.

The newsletter

The newsletter carries "Essays from the conversations, in your inbox" — new episodes plus the host's essays on "what they add up to." It reports 1,200+ subscribers and is described as arriving up to once a week, with unsubscribe available anytime. Subscribing requires an email address and agreement to Substack's terms and privacy policy.

Choose the newsletter if you want the host's synthesis rather than raw transcripts, or if you'd rather have new written material pushed to you than check the site.

How to choose

  • You have a specific question → start with the explainers index.
  • You want to verify or quote something from an episode → open that episode's show notes and transcript.
  • You want to browse by subject → use the topic headings.
  • You want ongoing written analysis → subscribe to the newsletter.

One caveat: the site's numbers (77 episodes, 164,924+ downloads and full-episode views, 3,050 YouTube subscribers, 1,200+ newsletter subscribers) are stated as of October 8, 2026, so treat them as a snapshot rather than a live count.