Every's Dan Shipper on the "dirty secret" of writing with AI
Summary
Platformer host Casey Newton interviews Dan Shipper, CEO of Every, a hybrid AI publication and software studio. They discuss how Every’s “flywheel” model integrates writing and product development, allowing small teams to build tools like email assistants using AI agents. The conversation also covers the challenges of building on rapidly changing models and the role of human taste in automation.
Topics discussed
Intro: Dan Shipper, Every, and AI's impact on entry-level jobs
Stanford study: AI exposure and declining employment for young workers
Tacit knowledge, AI skills, and the difficulty of learning while unemployed
Ad break and introduction to Dan Shipper and Every's hybrid model
Dan's daily routine: Coordinating AI agents vs. deep work and writing
Productivity tools, OCD, and the emotional roots of organization systems
Mental health, Zoloft, and parallels between psychiatry and AI
The Every flywheel: From essays to products and vibe checks
Navigating rapid AI changes and the value of an ecosystem bundle
Automating copy editing: Compounding taste and human oversight
Why automation increases hiring: The need for expert refinement
AI in writing: Authorship, taste, and the creative process
Listen ad-free on Castria