AI AGENT · WORK CASES
AI Agent Workflows with Human Approval
The useful question is not whether an agent replaces work, but what it may read, write and execute, and when a person must approve.
Six workflows and their approval points
Start with a narrow task. Keep input, output, validation and failure records. A person approves publication, sending, payment, deletion and contracts.
Research
The agent collects candidates and sources. A person checks originals, dates, figures and missing contrary evidence.
Document drafting
The agent follows a template. A person confirms facts, legal effect, personal data and meaning.
Web publishing preparation
The agent prepares HTML and link checks. A person confirms scope and the final public screen.
Book production
The agent handles chapter files, contents and typesetting. A person checks omissions, sources, cover and final PDF.
Content adaptation
The agent makes lecture, video and newsletter drafts. A person decides context, wording and channel.
Daily reporting
The agent gathers material and logs. A person separates failed, pending and complete work and approves the next action.
Five safeguards before deployment
Write the stop and recovery rules before granting wider permissions.
Separate read and write
Begin read-only. Allow writing only to named folders after results are verified.
Approve external actions
Require explicit human approval for publication, sending, payment, deletion and settings.
Protect originals and backups
Work on copies and record the recovery file and time.
Keep auditable logs
Record input, output, time, target, result and exit code.
Define stop conditions
Stop on permission errors, inconsistent data, external failure or an unexpected change.
These cases are general workflow guidance. Personal data, client files and company secrets belong only in an approved secure environment.