🧠 Every: A Blueprint for the AI-Native Company

Led by Dan Shipper, Co-founder & CEO

🌐 Company Overview

Every is a pioneering media and product company built for the AI era. With a lean team of just 15 people, it’s proving how small teams can radically scale output, creativity, and impact through tightly integrated AI systems.

🧱 Business Model

Every operates across three synergistic pillars:

1. 📰 Newsletter + Media
   ~100,000 subscribers.
   Focuses on "vibe checks" of new models — real-world practicality over benchmarks.
   Explores how AI feels in the flow of work.
2. 🛠️ AI-Native Products
   Suite includes:
   Cora: AI Chief of Staff (email management).
   Sparkle: File cleaner & digital declutterer.
   Spiral: Automated content workflows.
   Lex (spun out): Collaborative AI writing tool.
   Subscription bundling: All tools under one price.
3. 💼 Consulting & AI Enablement
   Helps enterprise clients go "AI-first."
   Services: AI strategy, workflow design, employee training.
   Focus on embedding intelligence into company operations.

⚙️ AI-First Internal Operations

Every’s internal org structure functions more like a “team of orchestrators over agents”:

• 👨‍💼 Head of AI Operations:
  Constantly builds and maintains prompts, workflows, and AI systems to automate internal tasks and supercharge productivity.
• 💻 Engineers as Orchestrators:
  No traditional hand-written code.
  Use agents and prompt libraries to generate, iterate, and test code.
  Key paradigm: Compounding engineering — each prompt or system adds leverage to the next.
• 🧑‍🎨 Editorial AI Integration:
  Prompts codify editorial feedback.
  AI enforces consistent quality and tone, making writers 2–5x more effective.
• 🧠 Autonomous Agent Stack:
  Core tools include Claude (especially Claude Code), ChatGPT, and command-line AI interfaces.
  Non-technical employees build workflows and complete complex tasks via natural language.

🔥 Dan Shipper’s Hot Takes on AI

1. AI Won’t Kill Entry-Level Jobs — It Will Level Up the Floor
   Shipper believes AI accelerates career growth:
   “People are making a year’s worth of progress in months.”
2. AGI = Economic Viability of Autonomous Agents
   Practical definition:
   “AGI is when it’s profitable to run agents 24/7 with no human in the loop.”
3. Claude Code Is Deeply Underrated
   Especially for non-engineers with access to large documents and command-line tasks.
   A force multiplier for knowledge work without technical bottlenecks.
4. Reshoring via AI Leverage
   AI enables high-skill services to be delivered affordably by small U.S.-based teams.
   Allows a one-person service business to match the capacity of a 10-person team.
5. Generalists Will Rule in the "Allocation Economy"
   In an agent-powered world, the bottleneck is taste, prioritization, and orchestration.
   Being a “smart allocator” — with vision, discernment, and judgment — becomes a core competency.

🚀 What Makes Every a Model AI Company

PrincipleImplementationAI as First-Class CitizenAgents replace traditional roles in code, editorial, and operations.Tools as Internal IncubatorsProducts (e.g., Lex, Cora) often arise from in-house workflows.Continuous AI LiteracyPrompt refinement and experimentation are part of everyone’s job.Tight Feedback LoopsUsage insights from newsletter audience feed directly into product strategy.High Leverage per Employee15-person team operates like a 100-person org, due to AI leverage.

🧭 The Takeaway:

Every isn’t just reporting on AI — it’s becoming the prototype for a new kind of company:

One where human discernment + AI orchestration = exponential leverage.