Writing
Notes on AI employees
64 pieces for operators on one-process builds and the parts that still need a person. RSS
· People
From pilot to production AI employees
A pilot proves a demo. Production proves a Monday. Those are different projects, and only one needs an owner.
· People
Multilingual AI employees
If you cannot review it in the language you send, you do not have a multilingual employee. You have a lottery.
· People
When the model is wrong
Wrong output is not a vibe. It is a state on the work: escalated, owned, and still attached to the facts.
· People
Training your team to work with an AI employee
The team does not need a lecture on models. They need a week of reviewing real cases without rubber-stamping the output.
· People
Who owns the AI employee
If nobody can stop it, take the exceptions, and explain a miss, you do not have an AI employee. You have a demo with a login.
· People
Write a job description for the AI employee
If you cannot write the job on one page, you are not ready to automate it. Models do not fix a fuzzy role.
· People
Checklist before you automate a process
If you cannot write the steps, count the pile, and name the exceptions, you are not choosing a model. You are choosing a mess.