3 What Is a Position?
Many people use AI by starting with a request.
They ask for an explanation, a plan, a summary, or a solution.
But in real work, the starting point should not be a request.
It should be a position.
A position is what allows you to use AI with direction instead of dependence.
3.1 The Basic Definition
A position is your current thinking before using AI.
It is not the final answer.
It is not a polished conclusion.
It is your starting point.
A position may be:
- a problem you are trying to solve
- a direction you want to take
- a hypothesis you want to test
- a judgment you want to refine
- a workflow you want to structure
In simple terms:
A position is the point from which your reasoning begins.
3.2 Why Position Matters
Without a position, AI takes over the direction.
That often leads to:
- generic outputs
- shallow reasoning
- weak ownership
- poor decisions
When you begin with a position, AI becomes more useful.
It can help you:
- sharpen what you already think
- reveal what you may have missed
- organize your reasoning more clearly
- challenge weak assumptions
This is the difference between using AI to think and letting AI think for you.
3.3 A Position Does Not Need to Be Perfect
One reason people skip this step is that they think they need clarity before they begin.
That is not true.
A position can be rough.
It can be incomplete.
It can even be wrong.
What matters is that it exists.
For example:
- “I think this model may be overfitting.”
- “I want to compare these two approaches.”
- “I need to explain this result more clearly.”
- “I suspect this pattern is driven by data quality.”
- “I want to turn this into a reproducible workflow.”
These are not final answers.
They are positions.
And that is enough to begin responsibly.
3.4 Position vs Request
This distinction is central.
A request asks for output.
A position provides direction.
Compare the difference.
3.4.1 Request only
- “Explain machine learning.”
- “Write me a business plan.”
- “Analyze this dataset.”
- “Give me ideas.”
These may produce output, but they do not establish your thinking.
3.4.2 Position-based start
- “I want to understand which machine learning method fits this problem and why.”
- “I am developing a small consulting service and need a realistic business structure.”
- “I want to assess whether variable X is associated with outcome Y.”
- “I am exploring three possible directions and want help comparing them.”
The second set is stronger because the user has already entered the reasoning process.
3.5 The Structure of a Position
A position does not need to be long.
Usually, it contains at least one of the following:
3.5.1 1. A problem
What are you trying to solve?
Example:
“I need to determine whether this result is reliable enough to report.”
3.5.2 2. A direction
What are you trying to do?
Example:
“I want to convert this rough analysis into a clearer workflow.”
3.5.3 3. A hypothesis
What do you think may be true?
Example:
“I think the difference between groups may be driven by sampling imbalance.”
A simple working formula is:
Position = Problem + Direction + (Optional) Hypothesis
This is not a strict rule.
It is a practical way to make your starting point clearer.
3.6 Position Creates Better Prompts
Prompt quality is often discussed as if it is mainly about wording.
That is incomplete.
Better prompts do not begin with better phrasing.
They begin with better thinking.
A well-worded prompt without a position can still be weak.
A simple prompt with a clear position is often much stronger.
For example:
3.6.1 Weak
“Help me write about my project.”
3.6.2 Stronger
“I am building a guide about human-first AI use, and I want help structuring the argument so it is clear, practical, and defensible.”
The improvement comes from the position, not from stylistic complexity.
3.7 Position Improves Ownership
Ownership matters because real work is not just about output.
It is about judgment.
If AI gives you language that you do not understand, you cannot explain it well.
If AI gives you a conclusion that you did not reason toward, you cannot defend it well.
That is why position matters.
It keeps you intellectually involved.
It keeps your thinking active.
It keeps responsibility where it belongs.
If AI gives you the idea, you may repeat it.
If you give AI the idea, you can refine and defend it.
3.8 Position in Real Work
This principle applies across many kinds of work.
3.8.1 In analysis
A position may be:
“I want to test whether this pattern is real or just noise.”
3.8.2 In writing
A position may be:
“I want this explanation to be clear for beginners without losing rigor.”
3.8.3 In strategy
A position may be:
“I think this project needs to focus on reproducibility before expansion.”
3.8.4 In product work
A position may be:
“I want to evaluate whether this feature solves the actual user problem.”
In each case, the position creates direction before the tool is used.
3.9 Common Mistake: Confusing Curiosity with Position
Curiosity is useful, but curiosity alone is not yet a position.
For example:
- “I wonder what AI can do here.”
- “Let me see what it says.”
- “Maybe it has ideas.”
This is passive exploration.
By contrast, position-based use is active.
It says:
- “Here is the problem.”
- “Here is my current view.”
- “Help me test, refine, or challenge it.”
That shift changes the quality of the interaction.
3.10 Common Mistake: Waiting for Perfect Clarity
Another mistake is waiting too long before engaging.
Some people delay because they think they must fully understand everything first.
But a position is not a final conclusion.
It is a starting point for disciplined reasoning.
You do not need certainty.
You need enough clarity to begin intentionally.
3.11 A Practical Test
Before using AI, pause and ask:
- What problem am I trying to solve?
- What do I currently think?
- What do I want AI to help me do?
- What decision or output will still remain mine?
If you can answer these questions, even briefly, you likely have a position.
3.12 From Position to Better Use
Once a position exists, AI can be used more effectively.
Instead of asking it to replace your thinking, you can ask it to:
- challenge your reasoning
- improve your structure
- identify missing assumptions
- compare alternatives
- clarify communication
- stress-test your approach
This is where AI becomes genuinely useful.
Not as a substitute for thought, but as support for it.
3.13 Closing Insight
A position is not about sounding intelligent.
It is about beginning responsibly.
It gives your work direction.
It gives your prompts substance.
It gives your outputs meaning.
Most importantly, it keeps you connected to the reasoning process.
Do not start by asking AI what to think.
Start by stating where your thinking currently stands.
3.14 Key Takeaway
A position is your current thinking before using AI.
It may be a problem, a direction, or a hypothesis.
It does not need to be perfect.
It needs to be clear enough to guide the work.
That is where responsible AI use begins.