A social media account named Roundtable has shared a prompt that asks Claude to analyze 10 of a creator's posts, five top performers and five underperformers, and explain what separates them.
Content strategy · Prompt-based post review
Ten posts, two groups: a prompt asks an AI model what separates winners from losers
A shared prompt has users pick their five best and five weakest posts, then asks a general-purpose language model to compare them on hooks, structure, tone, topics and engagement. The approach packages a familiar content-review practice into a reusable instruction.
10
Posts analyzed in total
5 + 5
Top performers paired with underperformers
5
Dimensions compared: hooks, structure, tone, topics, engagement
Equal-sized groups, side by side
Each block represents one post. Both groups contain five posts, so the columns are the same height.
How the prompt works
Step 1
Select five best and five weakest posts
→
Step 2
Ask the model to act as a strategist
→
Step 3
Compare both sets on five dimensions
→
Step 4
Identify patterns behind the winners
The prompt text is cut off before its final instruction, so the full request cannot be confirmed.
Why it is useful
Packages a common content-strategy practice into a reusable instruction
Requires no spreadsheet work or specialist analytics tools
Makes creators look at hooks, tone and topics side by side
What to be cautious about
No test results or measured improvements are reported
Ten posts is a small sample
The model may mistake correlation for cause, such as blaming the hook for what timing or audience size drove
Bottom line
The output is only as reliable as the checks creators apply to it
Engagement varies by platform and audience size, so compare like with like
Verify any pattern against your own data before changing strategy
Durable gains depend on repeating that check over time
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