Product Build · AI Employee Playbook
A practical guide for defining and supervising one useful AI role.
This historical Product Build organizes role selection, context preparation, workflow design, review, and measurement into a guided operating record. Access is handled through inquiry.
Product thesis
Teams need an operating method before they need a larger collection of prompts.
The playbook helps a business choose one responsibility, identify the required context, define the human review point, and decide whether the workflow should continue.
- Role brief The job, owner, input, useful output, risk, and approval decision.
- Context checklist The approved business information, examples, tools, and access required.
- Workflow map The steps from request through creation, review, correction, and completion.
- Review scorecard Accuracy, usefulness, exceptions, rework, time, and responsible next action.
System map
The page shows the operating parts without publishing an unsupported outcome.
Role brief
The job, owner, input, useful output, risk, and approval decision.
Context checklist
The approved business information, examples, tools, and access required.
Workflow map
The steps from request through creation, review, correction, and completion.
Review scorecard
Accuracy, usefulness, exceptions, rework, time, and responsible next action.
Operating flow
Move from a clear decision to a controlled review record.
-
01
Select the responsibility
Choose one recurring job with a clear owner and outcome.
-
02
Prepare the record
Gather the instructions, sources, examples, boundaries, and access.
-
03
Test the workflow
Run supervised examples and record every correction.
-
04
Make a decision
Continue, narrow, redesign, or stop based on the reviewed evidence.
Publication boundary
This page documents the system and preserves every proof restriction.
Can describe
The business problem, system design, workflow, controls, related service, and inquiry path.
Cannot claim
Traffic, savings, revenue, conversion, ranking, endorsement, or another result without approved evidence and permission.
AI Employee Playbook
Want a version built around your operation?
Tell Anthony what exists, where the work slows down, and what the system needs to support.