In this podcast, I chat with Fabrizio Ferri-Benedetti about a variety of topics related to AI and docs, such as applying Italo Calvino's literary principles of lightness and quickness to evaluate docs, the reality of AI review fatigue versus creator fatigue, whether vibe-coded tools are tools slop, developing internal skills for repeatable doc processes, and the utility of running local AI models.

This is a recording of the AI Book Club discussion of Max Tegmark's Life 3.0: Being Human in the Age of Artificial Intelligence. Our discussion explores Tegmark's visions of superintelligence, the unpredictability of AI goals and subgoals, and how the Asilomar principles fare against the relentless market pressures of today's AI arms race. We also contrast the book's theoretical focus on cosmic energy (and how superintelligence might more efficiently extract energy from matter) with the immediate, tangible threats AI poses to cybersecurity and global financial systems.

This is a recording of the AI Book Club discussion of Dan Wang's Breakneck: China's Quest to Engineer the Future. Our discussion tries to tie some of the book's themes to AI (to align with the book club's theme), but only in places where it makes sense. Some topics we discuss include social engineering, electric vehicles, contrasting energy infrastructures and the ability to power AI compute, mass surveillance networks, the differences between America's lawyerly society and China's engineering state. Fortunately, one of the book club members had recently been to China and could share firsthand experiences and impressions of cities...

In this podcast, I chat with Larah Vasquez and Fabrizio Ferri-Benedetti about using skills to extend AI capabilities, the future of agentic engineering, local models like Qwen and Gemma, and whether the tech writer role is shifting into automation architecture. We get into the memory problem in LLMs (and why some of us actually prefer the no memory to extended memory), the progression from prompt engineering to context engineering to compound engineering to orchestrating whole agent systems, and how skills are quietly forcing engineers to write down knowledge they'd never documented before.

I recently gave a presentation to students and faculty in person at Louisiana Tech University on March 30, 2026, focusing on what I call the cyborg model of technical writing. The idea is that the emerging model for tech writing isn't one in which AI replaces tech writers but rather one in which AI augments tech writers. Tech writers interact with AI in a continuous back-and-forth, conversational, iterative manner. This post contains the recording, slides, transcript, summary, notes, and more from my presentation.

In this podcast, I chat with two professors — Nupoor Ranade (Carnegie Mellon) and Jeremy Merritt (James Madison University) — about how AI is reshaping the technical writing profession from the academic side. We discuss dropping enrollments, misconceptions about what tech writers do, historical parallels to past disruptions, agentic AI and organizational restructuring, the cyborg model of human-machine collaboration, and how academics and practitioners can bridge the divide to solve real problems together.

This is a recording of our AI Book Club discussion of If Anyone Builds It, Everyone Dies: Why Superhuman AI Will Kill Us All by Nate Soares and Eliezer Yudkowsky, held March 15, 2026. Our discussion touches on a variety of topics, including whether the book's use of parables strengthens or weakens its argument, the question of whether AI can develop genuine intentions, the competitive dynamics that prevent any single company from pumping the brakes, the limits of recursive self-improvement, and what ordinary people should make of wildly conflicting predictions from leading AI thinkers. This post also includes discussion questions,...

In this podcast, Fabrizio Ferri-Benedetti (passo.uno) and I chat with Manny Silva (instructionmanuel.com), head of documentation at Skyflow and author of Docs as Tests. Manny is working on a follow-up book that incorporates AI, covering validated generation, trusted agents, and self-healing documentation.

This is a recording of our AI Book Club discussion of Careless People: A Cautionary Tale of Power, Greed, and Lost Idealism by Sarah Wynn-Williams, held February 15, 2026. Our discussion touches on a variety of topics, including whether criticisms of the author's complicity are fair, the ethical dilemmas we face working in tech, whether the parallels between social media and AI hold up, the Streisand effect of Meta's attempt to suppress the book, and more. This post also includes discussion questions, key themes, and a full transcript.

In this episode, Fabrizio and I discuss our predictions for tech comm in 2026, focusing on two posts: Fabrizio's My day as an augmented technical writer in 2030 and my 12 predictions for tech comm in 2026. Some of the specific topics we cover include the evolution of writers into automation engineers, the increasing necessity of systems thinking, the economic paradox where high tech valuations are contrasting with stagnant hiring, the risk of the Reverse Centaur dynamic (where humans merely approve AI output), and the growing value of authentic human connection and humanity.

This post provides a recording of our AI Book Club discussion of God, Human, Animal, Machine: Technology, Metaphor, and the Search for Meaning by Meghan O'Gieblyn, held Jan 18, 2026. Our discussion touches upon a variety of parallels between religion and AI, such as the black box nature of AI and the incomprehensibility of divine will, transhumanism and resurrection, predictive algorithms and free will, and more. This post also provides discussion questions, a transcript, and other resources.