AI Practice
Put AI into real work, not just demonstrations
From task breakdown and tool selection to human review and iteration, this page documents how AI enters foreign trade, content, websites and day-to-day operations.
01 / Practice Map
Four areas of continued testing
The focus is not a list of tools. It is what AI can reliably do within clear task boundaries, quality controls and human judgment.
AI workflows
Break complex work into steps that can be executed, checked and improved.
02 / AgentAI Agents
Test task boundaries, tool use and context management for agentic work.
03 / AutomationAI automation
Reduce repeated work while preserving quality control and a human fallback.
04 / Tool TestsAI tool tests
Record where tools help in real work, where they fail and where they fit.
02 / Working Practice
From one task to a reviewable system
Each direction starts with a concrete task: define the input and goal, then arrange tools, review points and failure handling.
Break down the task before automating it
Separate input, processing, review and output before deciding which steps suit AI and which require human judgment.
- Task breakdown
- Tool stack
- Review points
- Exception handling
Give Agents clear boundaries
Define the task, context, available tools and stop conditions instead of treating autonomy as an absence of management.
- Task boundaries
- Context
- Tool use
- Human takeover
Automated work must remain inspectable
Automation should remove repetition, not verification. Important steps need to be observable, pausable and reversible.
- Triggers
- Quality checks
- Human fallback
- Process records
Human Review
AI can accelerate execution, but it cannot replace business judgment.
I care whether it understands the task, whether its output can be verified, whether failure is visible and where a person must take over.
03 / Field Notes
Latest AI practice notes
Processes under test, tool behavior, failure causes and adjustments.
No related AI practice article has been published yet. No fictional content is used as a placeholder.
View all articles04 / Selected Work
Related AI practice projects
Only projects that can publicly show a real working process belong here.
Phoenix has not yet provided related AI project materials that can be published. No fictional content is used as a placeholder.
Keep Testing
Start testing AI with a real task.
Begin with the methods. If you are working through a specific AI problem, bring the task context and start a conversation.