Building Your AI Workflow
Up to this point, you have learned how to:
- start with a position
- use AI to extend thinking
- interrogate outputs
- make results defensible
- apply AI in real workflows
The next step is to build your own workflow.
The Core Principle
Do not use AI randomly. Use it within a defined workflow.
A workflow gives you:
- consistency
- clarity
- control
What Is an AI Workflow?
An AI workflow is a structured way of working where:
- each step has a purpose
- AI is used intentionally
- human judgment remains central
The CDI Workflow Model
You can use this simple structure:
Define Position
- What is the problem?
- What do you think?
- What do you want to achieve?
Use AI to Extend
- Generate ideas
- Structure approach
- Identify gaps
Interrogate Output
- What assumptions are present?
- What is missing?
- Is it aligned with your position?
Make It Defensible
- Rewrite in your own words
- Justify reasoning
- Add limitations
Decide and Act
- Make a decision
- Implement
- Communicate
Visual Summary
Position → AI → Interrogate → Defensible → Decide
Adapting to Your Work
Your workflow may vary depending on your domain.
Analysis
- Position → AI (methods) → Test → Interpret → Decide
Writing
- Position → AI (structure) → Draft → Refine → Finalize
Decision-making
- Position → AI (options) → Evaluate → Decide
Keep It Simple
A workflow does not need to be complex.
Even this is enough:
- Start with a position
- Use AI
- Question the output
- Make it your own
- Act
Iteration Matters
Your workflow is not static.
It improves over time.
After each use, reflect:
- What worked?
- What was unclear?
- What can be improved?
Then adjust.
Common Mistake: No Workflow
Without a workflow:
- AI is used inconsistently
- results vary
- reasoning becomes fragmented
Common Mistake: Over-Complex Workflow
Too many steps can:
- slow you down
- reduce clarity
Balance is important.
Personalizing Your Workflow
Your workflow should reflect:
- your type of work
- your level of expertise
- your goals
It should be:
- practical
- repeatable
- adaptable
Key Insight
A workflow turns:
- random interaction
into:
- structured reasoning
Consistency in process leads to consistency in results.
Takeaway
- Build a simple, structured workflow
- Keep AI within that workflow
- Maintain human control
- Improve over time
This is how AI use becomes:
- systematic
- reliable
- aligned with real work