Dan Shipper is the CEO and co-founder of Every, an AI-native media company that rebuilt its editorial and software stack so that agents write, edit, and publish much of its content. Every operates as Shipper's live experiment in running a knowledge-work business where AI agents do the bulk of production. His thesis is that knowledge work will increasingly be done by AI agents working alongside a small group of senior humans who set direction and curate output. Every itself serves as the test case: five products, seven-figure revenue, 100% AI-written code. Shipper writes on the intersection of AI products, organizational design, and what it means to run a company where agents are co-workers.
Operating themes
- AI-native company building Every is Shipper's running experiment in knowledge-work with AI agents as peers, not tools.
- Organizational capability as the AI bottleneck Access to powerful models is no longer the constraint on AI value; organizational structure and leadership fluency are.
- Agent-native software architecture His 2026 prediction: most new software will be an agent behind a button, with features defined as prompts to an underlying general agent.
Cards
- The bottleneck for AI adoption has moved from model capability to organizational capability, The bottleneck for AI adoption has moved from model capability to organizational capability [Tier B]