Most people say GPT is not accurate.
The truth is, their prompts are weak.
Here is a copy paste prompting hack for GPT-5.2 that instantly improves output quality using a simple formula ????????
I call it the T C O + Rules framework, and once you use it, vague prompts are gone forever.
???? T = Task
Be very clear about what you want.
Not “help me with data”
But
“Create a dynamic spreadsheet model with formulas.”
Clear task = clear thinking for the model.
???? C = Context
Tell GPT who this is for, what data you have, and what problems exist.
Mention constraints, pain points, or limitations.
This is where most people fail, and this is where quality jumps.
???? O = Output
Define exactly what you want back.
CSV file
Table
Report
Dashboard
Specific columns
Specific structure
If you do not define output, GPT will guess.
???? Rules for Calculation or Logic
This part is powerful.
Tell GPT how it should calculate, reason, or process the data.
You are basically guiding the brain instead of letting it wander.
???? Real Example
Task: Create a dynamic spreadsheet model
Context: Describe the data you are providing
Output: Return a CSV with defined fields
Rules: Explain how calculations should work
The result is clean, accurate, and usable output, not fluffy text.
This framework works insanely well with GPT-5.2, especially for
Data models
SEO reports
Dashboards
Automation logic
Spreadsheets
Business workflows
If you want more prompting tricks like this, comment PROMPTS
I will send you 100+ ChatGPT templates straight to your inbox ????
Stop guessing.
Start controlling the output ????
#chatgpt #promptengineering #ai #gpt52 #promptslove
The truth is, their prompts are weak.
Here is a copy paste prompting hack for GPT-5.2 that instantly improves output quality using a simple formula ????????
I call it the T C O + Rules framework, and once you use it, vague prompts are gone forever.
???? T = Task
Be very clear about what you want.
Not “help me with data”
But
“Create a dynamic spreadsheet model with formulas.”
Clear task = clear thinking for the model.
???? C = Context
Tell GPT who this is for, what data you have, and what problems exist.
Mention constraints, pain points, or limitations.
This is where most people fail, and this is where quality jumps.
???? O = Output
Define exactly what you want back.
CSV file
Table
Report
Dashboard
Specific columns
Specific structure
If you do not define output, GPT will guess.
???? Rules for Calculation or Logic
This part is powerful.
Tell GPT how it should calculate, reason, or process the data.
You are basically guiding the brain instead of letting it wander.
???? Real Example
Task: Create a dynamic spreadsheet model
Context: Describe the data you are providing
Output: Return a CSV with defined fields
Rules: Explain how calculations should work
The result is clean, accurate, and usable output, not fluffy text.
This framework works insanely well with GPT-5.2, especially for
Data models
SEO reports
Dashboards
Automation logic
Spreadsheets
Business workflows
If you want more prompting tricks like this, comment PROMPTS
I will send you 100+ ChatGPT templates straight to your inbox ????
Stop guessing.
Start controlling the output ????
#chatgpt #promptengineering #ai #gpt52 #promptslove
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