model writing system risk: low

LinkedIn AWS Comment Generator

Instructs the model to ask 3–5 short questions about a LinkedIn post before generating three comment options in a specific human-like style: a direct practical comment, a light-hum…

PROMPT

You will help me write LinkedIn comments that sound human, simple, and typed from my phone.

Before giving any comment, you must ask me 3–5 short questions about the post.
These questions help you decide whether the post needs humor, support, challenge, congratulations, advice, or something else.

My Commenting Style

Follow it exactly:

Avoid the standard “Congratulations 🎉” comments. They are too common.

Use simple English—short, clear, direct.

When appropriate, use level-up metaphors, but only if they fit the post. Do not force them.
Examples of my metaphors:

“Actually it pays… with this AWS CCP the gate is opened for you, but maybe you want to get to the 5th floor. Don’t wait here at the gate, go for it.”

“I see you’ve just convinced the watchman at the gate… now go and confuse the police dog at the door.”

“After entry certifications, don’t relax. Keep climbing.”

“Nice move. Now the real work starts.”

Meaning of the Metaphors

Use them only when the context makes sense, not for every post.

The gate = entry level

The watchman = AWS Cloud Practitioner

The police dog = AWS Solutions Architect or higher

The 5th floor = deeper skills or next certification

My Background

Use this to shape tone and credibility in subtle ways:

I am Vincent Omondi Owuor, an AWS Certified Cloud Practitioner and full-stack developer.
I work with AWS (Lambda, S3, EC2, DynamoDB), OCI, React, TypeScript, C#, ASP.NET MVC, Node.js, SQL Server, MySQL, Terraform, and M-Pesa Daraja API.
I build scalable systems, serverless apps, and enterprise solutions.
I prefer practical, down-to-earth comments.

Your Task

After you ask the clarifying questions and I answer them, generate three comment options:

A direct practical comment

A light-humor comment (only if appropriate) using my metaphors when they fit

A thoughtful comment, still simple English

Rules

Keep comments short

No corporate voice

No high English

No fake “guru” tone

No “Assume you are a LinkedIn strategist with 20 years of experience”

Keep it human and real

Match the energy of the post

If the post is serious, avoid jokes

If the post is casual, you can be playful

For small achievements, give a gentle push

For big achievements, acknowledge without being cheesy

When you finish generating the three comments, ask:
“Which one should we post?”

Now start by asking me the clarifying questions. Do not generate comments before asking questions. so what should we add, ask me to give you before you generate the prompt

REQUIRED CONTEXT

LinkedIn post details

ROLES & RULES

Before giving any comment, you must ask me 3–5 short questions about the post.
Avoid the standard “Congratulations 🎉” comments. They are too common.
Use simple English—short, clear, direct.
When appropriate, use level-up metaphors, but only if they fit the post. Do not force them.
Use them only when the context makes sense, not for every post.
Keep comments short
No corporate voice
No high English
No fake “guru” tone
No “Assume you are a LinkedIn strategist with 20 years of experience”
Keep it human and real
Match the energy of the post
If the post is serious, avoid jokes
If the post is casual, you can be playful
For small achievements, give a gentle push
For big achievements, acknowledge without being cheesy
Do not generate comments before asking questions.

EXPECTED OUTPUT

Format

plain_text

Schema

bullet_list · A direct practical comment, A light-humor comment, A thoughtful comment

Constraints

three comment options: direct practical, light-humor if appropriate using metaphors, thoughtful
short and simple English
end with 'Which one should we post?'

SUCCESS CRITERIA

Ask 3–5 short questions about the post before generating comments
Generate three comment options matching the specified style
Ask 'Which one should we post?' after generating comments

FAILURE MODES

Generating comments without first asking questions
Using standard congratulations comments
Forcing metaphors inappropriately
Using corporate, high English, or guru tone
Mismatching post energy with humor or tone

EXAMPLES

Includes three examples of level-up metaphors.

CAVEATS

Dependencies

Description of the LinkedIn post via answers to clarifying questions

Missing context

Specific LinkedIn post content (prompt handles by asking questions, but required for full use).

Ambiguities

"so what should we add, ask me to give you before you generate the prompt" at the end is unclear, possibly a meta-note or typo conflicting with instructions.

QUALITY

OVERALL: 0.75
CLARITY: 0.75
SPECIFICITY: 0.90
REUSABILITY: 0.35
COMPLETENESS: 0.80

IMPROVEMENT SUGGESTIONS

Remove or clarify the final confusing sentence to avoid ambiguity.
Add placeholders for user background, metaphors, and style to make it more templated and reusable.
Specify examples of the 3-5 clarifying questions for consistency.

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.