Every, a "multi-modal media company" co-founded by Dan Shipper, is reportedly "rewriting the startup playbook" by integrating artificial intelligence into its core software development processes, allowing AI to handle code generation while human teams focus on strategic projects. This innovative approach has enabled the company to achieve a seven-figure annual revenue with a lean team of just 15 employees. The company's unique operational model was recently highlighted in a podcast featuring Shipper and Lenny Rachitsky, as noted by Peter Dedene on social media.
Every operates as a comprehensive media entity, publishing daily AI newsletters, producing podcasts and videos, and developing multiple AI-driven software products. Additionally, the company maintains a million-dollar-a-year consulting arm, advising other organizations on AI integration. This diverse portfolio is managed by a small team, underscoring the efficiency gains from their AI-first strategy.
At the heart of Every's operational success is the extensive use of AI agents, including tools like Claude, Codex, and proprietary agents named "Friday" and "Charlie." These AI systems are responsible for writing virtually all of the company's code, freeing human engineers from traditional coding tasks. Dan Shipper has articulated this shift by stating, > "English is the new programming language," emphasizing that non-technical team members can now develop functional applications rapidly by leveraging AI.
This AI-centric methodology allows Every's human workforce to concentrate on higher-level problem-solving, strategic initiatives, and managing the AI tools themselves. Shipper advocates for a future where generalists thrive, and rigid job titles blur, with individuals becoming "managers" of AI agents. His playbook for making companies AI-first includes leadership setting the example, internal prompt-sharing sessions, and upskilling teams on AI tools.
The broader software development industry is witnessing a significant transformation driven by AI, with tools such as GitHub Copilot and OpenAI's Codex becoming increasingly common. These AI-powered solutions automate repetitive coding tasks, generate code snippets, and even complete entire functions based on natural language descriptions. This trend is leading to faster development cycles, enhanced code quality, and more efficient operations across the software development lifecycle, from design to deployment.