Classify
Define the job, consequence, permitted information, and approved environment before material enters the model.
EXECUTIVE ASSISTANT AI
Use generative AI as a drafting, organizing, and reasoning aid inside a controlled executive-support workflow—without handing it authority it has not earned.
The book's operating model puts evidence, checking, and human authority around the AI step rather than treating a fluent draft as finished work.
Define the job, consequence, permitted information, and approved environment before material enters the model.
Name the calendar, notes, register, document, policy, or current source that acts as factual authority for the task.
State the purpose, audience, sources, task, constraints, and output so the model has a bounded transformation to perform.
Verify the failure that matters: dates, decisions, calculations, claims, omissions, disclosure, or commitments.
Keep decisions, commitments, sending, booking, purchasing, and release with the named human or deliberately authorized process.
Record recurring corrections, update the workflow specification, and only expand automation after the lower-authority process is stable.
FREE PRACTICAL GUIDES
These guides focus on the controls that make AI useful in real EA work: a repeatable workflow, information boundaries, meeting follow-up, executive communication, and staged automation.
Executive Assistant AI
Define the input, AI task, check, human decision, and release condition before you rely on a polished AI output.
Read the guideExecutive Assistant AI
Make the confidentiality decision before prompting: use organizational rules, provide only necessary details, and keep restricted information inside approved systems.
Read the guideExecutive Assistant AI
Treat meetings as a lifecycle: prepare from approved sources, extract candidate actions, verify decisions and ownership, then communicate from the checked register.
Read the guideExecutive Assistant AI
Use AI to prepare executive communication without allowing a polished draft to accept dates, promise resources, imply decisions, or reveal private context.
Read the guideExecutive Assistant AI
Increase AI authority one level at a time, prove the lower-authority workflow first, and design permissions, exceptions, logging, and rollback before automated action.
Read the guideTHE COMPLETE BOOK
The book develops the five-stage INPUT → AI TASK → CHECK → HUMAN DECISION → RELEASE model across executive-support work, then adds implementation labs, a failure playbook, reusable governance controls, a thirty-day operating system, a ninety-day maturity roadmap, workflow cards, and release checklists.