General Employee

Blog

Notes on building an AI workforce for the real economy.

Product thinking, operating models, and field notes from the work of bringing AI employees into service businesses with messy tools and real customers.

Editorial focus

AI workforce

Execution, not chat

How agents move from answering questions to completing work.

Service operations

Revenue leaks

Where demand, booking, follow-up, and payments break down.

Computer use

Beyond APIs

Why real businesses need agents that can operate existing software.

Thesis

The next automation layer has to work where the business already works.

Most service businesses do not need another dashboard. They need reliable execution across the calls, inboxes, calendars, portals, and legacy tools their teams use every day.

No clean API required

Computer-use agents can operate software that was only built for people, which expands what can be automated.

Revenue first

The first useful automations are usually close to demand: calls, leads, quotes, bookings, and payments.

Human escalation stays central

The best AI employees know when to complete the work and when to pull in a person with context.

Turn the thesis into a workflow.

General Employee can start with the specific front-office job your team is already doing by hand.