Every

An AI-native company — "part publication, part product company, part consultancy" — used throughout The AI Daily Brief — Why Agents Still Need Humans as the lead case study for how agent-saturated work actually plays out. Led by CEO Dan Shipper.

What it is

A ~30-person team that "walks the walk" on running an AI-native company: it alpha-tests new models from OpenAI, Anthropic, and Google before release, and uses Codex and Claude Code across coding, writing, design, and customer service. They "don't write code by hand anymore," and in Slack "it's a toss-up whether you're talking to a human or an agent."

Why it matters here

Every is the empirical anchor for the episode's thesis. Despite maximal automation, it "hasn't fired all of our employees in favor of agents" and finds "more human work to do than ever" — the paradox at the heart of Dan Shipper — After Automation. Its concrete agents:

• "Andy" — editorial coworker agent; collects story "nuggets" from Slack into digests/first-pass takes (Agents as Employees vs Human-Agent Collaboration).
• "Fin" — embedded customer-service agent (formerly Intercom).

Every also produced the field evidence behind Personal vs Team Agents — abandoning per-employee personal agents for shared "unit" agents.

Connections

• Dan Shipper — CEO; author of the essays driving the episode.
• Personal vs Team Agents — Every's reversal on agent ownership.
• The Human Sandwich — pattern coined by an Every employee.
• AI Commoditizes Expertise — observed inside Every ("ops people issue PRs; marketers make thumbnails").
• Leadership, Lab, and Crowd — wiki connection (not cited by Mollick): Every reads as a worked example of his prescription — it did the organizational innovation (cross-functional reorg, shared agents) and so captured the organizational gains most firms miss.

Sources

• The AI Daily Brief — Why Agents Still Need Humans — via Dan Shipper — After Automation and a second Every essay on agent design.