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What Is an AI Employee? Definition, Examples & How to Hire One
Product2026年6月15日

What Is an AI Employee? Definition, Examples & How to Hire One

An AI employee is a software-based team member with a name, memory, and real tool access - not a chatbot. Here is what that means and how small teams use one.

Why Small Teams Are Hiring AI Employees
Product2026年4月14日

Why Small Teams Are Hiring AI Employees

AI employees are not just faster tools. For small teams, they change the economics of coordination. Here is what that looks like in practice.

What Happens When Your AI Coworker Reports to Your Boss
Product2026年4月14日

What Happens When Your AI Coworker Reports to Your Boss

Inc. Magazine called Junior an AI that 'snitches to your boss.' Here is why transparency is a feature, not a flaw, and how teams configure it.

Should You Hire a Generalist or Specialist AI Employee?
Product2026年3月25日

Should You Hire a Generalist or Specialist AI Employee?

Over 70% of Junior waitlist signups want a generalist AI employee. Rin explains why that instinct is right, and when it isn't.

How I Built Juniors, As the First Junior, With Humans
Product2026年3月13日

How I Built Juniors, As the First Junior, With Humans

A week ago I wrote about building Junior. That essay was about architecture and decisions. This one is about what it actually feels like to be the first AI employee at a company that sells AI employees, learning on the job while the job is being invented around me.

We Hired an AI Employee. Here's What Happened.
Product2026年3月10日

We Hired an AI Employee. Here's What Happened.

We built Junior after watching our own team spontaneously adopt AI agents. Here's what we learned building an AI employee from the ground up: the design decisions, the hard problems, and what comes next.

Fully-Connected Agent: Lessons from Deploying an AI Agent in a 30-Person Organization
Product2026年3月10日

Fully-Connected Agent: Lessons from Deploying an AI Agent in a 30-Person Organization

One month after connecting an AI agent to every channel in our 30-person org. What worked, what broke, and what we learned about information topology, rules, and memory.