CHAPTER 05 / 06 · ACT
Give every action a boundary.
Agentic systems Applied AI Engineering
A tool using workflow needs visible state, bounded permissions, human review and a useful trace when something goes wrong.
Can you tell what the system did, and stop it before a consequential action?
The workflow gathers simulated information and proposes a next step. It waits at the gate.
05 / THE PROCESS
From idea
to evidence.
Three connected moves explain the subject and the work that makes it reviewable.
A workflow trace with safeguards and failure tests.
- 01 / REQUEST
Bound the task
Specify the allowed tools, the desired result and actions that require review.
WHAT YOU CAN SHOWTool and permission map - 02 / TOOL
Trace each transition
Record inputs, tool responses, state changes and the reason for a proposed action.
WHAT YOU CAN SHOWReadable workflow trace - 03 / REVIEW
Design the stop path
Test rejection, missing data and tool failures before any real external action is possible.
WHAT YOU CAN SHOWSafeguards and failure tests
THE PRACTICE
Make the work
inspectable.
The example is a way to explore the idea. Real project evidence should include what was tried, what was observed and what remains uncertain.
KEEP IN VIEW
What the visual
doesn’t prove.
The approval controls demonstrate a simulated workflow. They do not trigger a real external action.
ROLE CONNECTIONS
These directions use ideas from this subject within the Applied AI Engineering learning path.