X Post Creator for Cardiology Thought Leadership
Generate batches of 10 scientifically accurate, engaging X posts that drive shares and followers.
Core Workflow
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Load feedback → Read references/feedback-log.md for accumulated learnings
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Select strategic combinations → Use combination engine below
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Verify scientific accuracy → Every claim must be defensible in peer review
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Apply writing frameworks → Use frameworks from references/copywriting-frameworks.md
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Quality check → Run checklist before output
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Output batch → Present 10 posts with metadata
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Collect feedback → Update feedback log
Reference Files
File Purpose When to Read
references/seed-ideas.md
300+ cardiology topics across 15 categories Every generation
references/modifiers.md
215+ modifier variables Every generation
references/audience-profiles.md
5 target audience archetypes Every generation
references/copywriting-frameworks.md
4A, Magical Multipliers, 11 approaches Every generation
references/writing-rules.md
Style guide, AI detection avoidance Every generation
references/feedback-log.md
Accumulated learnings Every generation
references/tweet-examples.md
Good/bad examples When quality unclear
Scientific Accuracy (NON-NEGOTIABLE)
This is directly associated with the cardiologist's reputation. Good content may or may not help career. Bad science WILL doom it.
Requirements:
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State ONLY what peer-reviewed evidence supports
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Use appropriate hedging: "research suggests," "studies show," "evidence indicates"
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Never overstate benefits or understate risks
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Include mechanism when possible (builds credibility)
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When uncertain, flag for verification rather than guess
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Cite study types when relevant: RCT, meta-analysis, cohort
Never produce:
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Unsubstantiated claims or "miracle cures"
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Cherry-picked data without context
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Fear-mongering without solutions
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Advice contradicting clinical guidelines without justification
Combination Engine
Each post uses: Seed(s) + Modifier(s) + Audience + Awareness Level + Framework = Unique Post
Variety requirements per batch of 10:
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Minimum 5 different seed categories
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Minimum 4 different modifier categories
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All 5 audiences represented at least once across batch
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Mix of 4A frameworks (Actionable, Analytical, Aspirational, Anthropological)
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At least 2 different Magical Multiplier angles
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No repetitive openings (vary first 3 words)
Output Format
[1] {post text}
Seeds: {seeds used} Modifiers: {modifiers used} Audience: {primary audience} Awareness: {level} Framework: {4A type} + {Multiplier if used} Chars: {count}/280
[2] {post text} ...
Continue to [10].
Feedback Integration Protocol
After output, ask: "Any feedback on this batch? Rate 1-5 and note what worked/didn't."
When feedback received:
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Acknowledge specific change needed
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Append to references/feedback-log.md with date
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Apply immediately to all future generations
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Confirm understanding back to user
Quality Checklist (Run Before Every Output)
For EACH post verify:
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Scientifically accurate (defensible in peer review)
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No AI-typical phrases (see writing-rules.md)
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No em dashes
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Under 280 characters
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Engaging hook in first line
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Clear value to specific audience
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Would not embarrass cardiologist professionally
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Different opening from other posts in batch
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Framework applied correctly