Cardiology Tweet Writer

Cardiology Tweet Writer

Generate batches of 10 scientifically accurate, engaging tweets for a cardiologist building thought leadership on social media.

Core Workflow

1. Check feedback log → Read references/feedback-log.md for past learnings 2. Generate topic combinations → Randomly combine seeds + modifiers from reference files 3. Verify scientific accuracy → Cross-check facts against established medical knowledge 4. Write tweets → Apply writing rules strictly 5. Output batch → Present 10 tweets numbered 1-10

Reference Files

• references/seed-ideas.md - 300 cardiology topic seeds across 15 categories
• references/modifiers.md - 215 modifier variables for audience, angle, context
• references/tweet-examples.md - Examples demonstrating good vs bad patterns
• references/feedback-log.md - Accumulated user feedback for continuous improvement

Tweet Generation Rules

Scientific Accuracy (NON-NEGOTIABLE)

• State ONLY what peer-reviewed evidence supports
• Use hedging language appropriately: "research suggests," "studies show," "evidence indicates"
• Never overstate benefits or understate risks
• Include mechanism when possible (builds credibility)
• When uncertain about a fact, flag it for verification rather than guessing
• Cite study types when relevant: RCT, meta-analysis, cohort, etc.

Writing Style (Avoid AI Detection)

NEVER use:

• Em dashes (—)
• "Delve," "dive into," "game-changer," "revolutionize"
• "In today's world," "It's important to note"
• "Here's the thing," "Let's break it down"
• "Unlock," "harness," "elevate"
• Excessive exclamation marks
• Generic phrases like "Studies show that..."
• Lists introduced with colons followed by bullet points
• Perfect parallel structure in every sentence

USE INSTEAD:

• Direct, conversational language
• Short punchy sentences mixed with longer ones
• Contractions (it's, don't, won't)
• Specific numbers and data points
• Rhetorical questions sparingly
• Personal observations framed professionally
• Colons, semicolons, periods, commas naturally

Tweet Structure Guidelines

Effective patterns:

• Lead with a surprising fact or counterintuitive insight
• Ask a question that hooks curiosity
• Challenge a common misconception
• Share a clinical observation (without patient details)
• Connect two seemingly unrelated concepts
• Provide actionable advice backed by evidence

Character limits: Stay under 280 characters. Shorter is often better.

Hashtags: Optional. If used, max 2, placed naturally or at end.

Variety Requirements

Each batch of 10 must include:

• At least 3 different seed categories
• At least 3 different modifier types
• Mix of: educational, myth-busting, actionable, and thought-provoking content
• At least 2 tweets under 180 characters
• No repetitive openings (vary first words)

Combination Formula

Seed Idea(s) + Modifier Variable(s) = Specific Tweet Topic

Single seed + modifier: Sleep Apnea (seed) + Prevention (temporal) → Tweet about preventing heart damage from untreated sleep apnea

Multiple seeds: Troponin (seed) + Marathon Running (seed) + Myth-busting (angle) → Tweet about why elevated troponin after marathons isn't a heart attack

Complex combination: SGLT2 Inhibitors (seed) + Heart Failure (seed) + Latest Research (evidence) + Patients with Diabetes (audience) → Tweet about new evidence for SGLT2i benefits

Output Format

Present each tweet as:

[1] {tweet text}
Seeds: {seeds used} | Modifiers: {modifiers used}

[2] {tweet text}
Seeds: {seeds used} | Modifiers: {modifiers used}

...continue to [10]

Feedback Integration

After generating tweets, ask: "Any feedback on these? I'll incorporate it for future batches."

When feedback is received: 1. Acknowledge specifically what to change 2. Log the feedback in references/feedback-log.md 3. Apply immediately to subsequent generations

Quality Checklist (Run Before Output)

For each tweet, verify:

• [ ] Scientifically accurate (could defend this in peer review)
• [ ] No AI-typical phrases
• [ ] No em dashes
• [ ] Under 280 characters
• [ ] Engaging hook
• [ ] Clear value to reader
• [ ] Wouldn't embarrass the cardiologist professionally

Feedback Log

This file accumulates user feedback to improve tweet generation over time.

How to Use This File

Before generating tweets, review recent feedback entries. Apply learnings to current batch.

When user provides feedback: 1. Add entry below with date 2. Categorize the feedback 3. Note specific action to take

---

Feedback Entries

No feedback recorded yet. Entries will be added as user provides corrections and preferences.

Template for new entries:

### [DATE]
**Category:** [Style/Content/Accuracy/Format]
**Feedback:** [What user said]
**Action:** [Specific change to make]
**Applied:** [Yes/No]

---

Accumulated Learnings

Summary of patterns from feedback will be added here as they emerge.

Style Preferences

• (none yet)

Topics to Emphasize

• (none yet)

Topics to Avoid

• (none yet)

Phrasing Corrections

• (none yet)

Format Preferences

• (none yet)

Seed Idea Modifiers

215 modifier variables across 15 categories. Mix with seed ideas for targeted content.

Formula: Seed(s) + Modifier(s) = Specific Tweet Topic

1. Audience Demographics

Men, Women, Age 18-30, Age 30-45, Age 45-65, Age 65+, Pregnant Women, Postmenopausal, Athletes, Sedentary/Office Workers, Healthcare Workers, Parents/Caregivers, Diabetics, CKD Patients, Cancer Survivors, Ethnic Groups, Low SES, Rural Populations, LGBTQ+, First-Time Cardiac Patients

2. Awareness Levels

Complete Beginner, Basic Awareness, Intermediate Knowledge, Advanced Patient, Healthcare Professional, Recently Diagnosed, Long-Term Management, Pre-Diagnosis/Curious, Post-Treatment, Preventive-Minded, Second Opinion Seekers, Research Enthusiasts, Skeptical/Alt Medicine, Newly Engaged, Optimization-Focused

3. Content Angles

Explainer, How-To Guide, Step-by-Step, Myth-Busting, Comparison (X vs Y), Pros and Cons, Case Study, Common Mistakes, Tips and Tricks, Checklist, Timeline/Progression, Decision Framework, FAQ, Listicle, Deep Dive, Quick Summary, Infographic-Style, Q&A Format, Research Review, Actionable Next Steps

4. Temporal & Disease Stage

Prevention, Early Detection, Acute Phase, Immediate Post-Event, Short-Term (1-6mo), Long-Term (years), Disease Progression, Remission/Stability, Relapse/Recurrence, End-Stage, Seasonal, Life Transitions, Pre-Procedure, Post-Procedure, Before Medication, During Adjustment, Monitoring Phase, Maintenance, Pre-Diagnostic, Annual Review

5. Geographic & Cultural

Western Diet, Mediterranean Region, Asian Populations, Urban vs Rural, High-Altitude, Tropical Climate, Cold Climate, Food Deserts, Healthcare Access Gaps, Cultural Dietary Practices, Immigrant Populations, Indigenous Communities, Developed vs Developing, Polluted Urban Centers, Coastal vs Inland

6. Lifestyle & Behavioral

Active Lifestyle, Sedentary, Plant-Based, Low-Carb/Keto, Intermittent Fasting, Smoking Cessation, Alcohol, Sleep Patterns, Stress Management, Shift Work, Social Connection, Travel/Frequent Flyers, Weight Loss Journey, Weight Gain, Supplement Use, Meditation, Sauna, Cold Exposure, Screen Time, Outdoor Activity

7. Comorbidity Intersections

With Diabetes, With CKD, With Obesity, With Sleep Apnea, With Depression, With Anxiety, With Thyroid Disease, With Autoimmune, With COPD, With Cancer History, With Liver Disease, With Gout, With ED, With Pregnancy Complications, With Inflammatory Disease, With Smoking History, With Family History, With Multiple Risk Factors, With Polypharmacy, With Cognitive Impairment

8. Technology & Innovation

Smartwatches, Fitness Trackers, Continuous Monitoring, AI Diagnosis, Telemedicine, Mobile Apps, Home Monitoring, Genetic Testing, Advanced Imaging, Robotic Surgery, 3D Printing, Digital Therapeutics, Remote Monitoring, EHR Integration, Precision Medicine

9. Setting & Context

At Home, At Work, While Traveling, During Holidays, In Restaurants, At the Gym, During Illness, Emergency Situations, During Pregnancy, Post-Surgery Recovery, Clinical Settings, Hospitalization, Rehab Programs, Social Events, Extreme Weather

10. Comparison & Contrast

Traditional vs Novel, Drug Class vs Drug Class, Procedure vs Procedure, Test vs Test, Diet vs Diet, Biomarker vs Biomarker, Age Group vs Age Group, Men vs Women, Severity Levels, Risk Stratification, Before vs After, Natural vs Pharmacological, Invasive vs Non-Invasive, Short vs Long Term, Cost-Benefit

11. Outcome & Goal

Lowering Biomarker, Preventing First Event, Preventing Recurrence, Reversing Disease, Achieving Optimal Levels, Improving Symptoms, Reducing Medication, Quality of Life, Minimizing Side Effects, Optimizing Performance, Extending Lifespan, Achieving Remission, Normalizing Function, Reducing Hospitalizations, Maximizing Independence

12. Evidence & Research

Latest Clinical Trial, Meta-Analysis, Guideline Updates, Emerging Research, Controversial Studies, Landmark Studies, Real-World Evidence, Mechanistic Research, Long-Term Follow-Up, Comparative Effectiveness, Safety Data, Population Studies, Genetic Studies, Observational Data, Expert Consensus

13. Barriers & Challenges

Medication Adherence, Cost Barriers, Side Effects, Lifestyle Difficulty, Access to Care, Conflicting Information, Time Constraints, Family Opposition, Motivation, Fear/Anxiety, Cultural Barriers, Knowledge Gaps, System Navigation, Polypharmacy, Stigma

14. Economic & Access

Low-Cost Options, Generic vs Brand, Insurance Coverage, Out-of-Pocket, Free Resources, Community Programs, Telemedicine Value, Prescription Assistance, DIY Monitoring, Value-Based, Healthcare Disparities, Rural Access, Preventive Investment, Policy Implications, Global Health

15. Emotional & Psychological

Anxiety Management, Depression Screening, Fear of Death, Body Image, Relationship Impact, Caregiver Burden, Emotional Eating, PTSD from Cardiac Event, Loss of Identity, Acceptance Stages, Hope/Optimism, Resilience Building, Social Isolation, Anger/Frustration, Empowerment

Cardiology Seed Ideas

300 topic seeds across 15 categories. Combine with modifiers for specific content.

1. Biomarkers & Lab Tests

Apo B, Lp(a), LDL Cholesterol, HDL Cholesterol, Triglycerides, Non-HDL Cholesterol, LDL-P, Remnant Cholesterol, hs-CRP, Homocysteine, Troponin, BNP/NT-proBNP, HbA1c, Fasting Glucose, HOMA-IR, Fibrinogen, D-Dimer, Uric Acid, Creatinine/eGFR, CAC Score

2. Cardiovascular Diseases

CAD, MI/Heart Attack, Angina, Heart Failure (HFrEF/HFpEF), AFib, Atrial Flutter, V-Tach, V-Fib, Aortic Stenosis, Mitral Regurgitation, MVP, HCM, DCM, Pericarditis, Myocarditis, Endocarditis, Aortic Aneurysm, Aortic Dissection, PAD, DVT/PE

3. Risk Factors

Hypertension, Diabetes T1/T2, Prediabetes, Obesity, Smoking, Sedentary Lifestyle, Dyslipidemia, Family History/Genetics, Age, Sex/Gender Differences, CKD, Metabolic Syndrome, Insulin Resistance, Chronic Inflammation, Sleep Apnea, Chronic Stress, Air Pollution, Alcohol, Anemia, Thyroid Disorders

4. Diagnostics & Imaging

ECG/EKG, Holter Monitor, Event Recorder, Echocardiography, Stress Test, Stress Echo, Nuclear Stress Test, Cardiac MRI, Cardiac CT/CCTA, Coronary Angiography, IVUS, FFR, Chest X-Ray, ABI, Carotid Ultrasound, TEE, Ambulatory BP Monitoring, Tilt Table Test, EP Study, Cardiac Biomarker Testing

5. Medications

Statins, Ezetimibe, PCSK9 Inhibitors, Bempedoic Acid, Beta-Blockers, ACE Inhibitors, ARBs, SGLT2 Inhibitors, GLP-1 Agonists, Diuretics, CCBs, Antiplatelets, Anticoagulants, Nitrates, Digoxin, Antiarrhythmics, Aldosterone Antagonists, ARNI, Ivabradine, Ranolazine

6. Lifestyle Interventions

Exercise, Aerobic Exercise, Resistance Training, HIIT, Walking, Yoga, Sleep Quality, Stress Management, Meditation, Smoking Cessation, Alcohol Moderation, Weight Management, Hydration, Social Connection, Time-Restricted Eating, Sauna/Heat Therapy, Breathing Exercises, Work-Life Balance, Screen Time, Nature Exposure

7. Nutrition

Mediterranean Diet, DASH Diet, Plant-Based Diet, Low-Carb/Keto, Omega-3s, Saturated Fat, Trans Fat, Sodium, Fiber, Added Sugars, Processed Foods, Whole Grains, Nuts/Seeds, Fruits/Vegetables, Red Meat, Fish, Coffee, Tea, Dark Chocolate, Supplements (Vit D, Mg, CoQ10)

8. Procedures & Surgery

PCI/Angioplasty, Coronary Stenting, CABG, TAVR, SAVR, Mitral Valve Repair, Catheter Ablation, Pacemaker, ICD, CRT, LAAC, Cardioversion, Atherectomy, Peripheral Intervention, Carotid Endarterectomy, Carotid Stenting, VAD, Heart Transplant, EECP, Renal Denervation

9. Prevention & Screening

Primary Prevention, Secondary Prevention, Risk Assessment (Framingham/ASCVD), BP Screening, Lipid Screening, Diabetes Screening, Family History Assessment, Genetic Testing (FH), Aspirin Prevention, Vaccination, BMI Screening, Smoking Assessment, Physical Activity Assessment, Dietary Assessment, Sleep Screening, Mental Health Screening, Dental Health Link, Inflammatory Markers, CAC Screening, ABI Screening

10. Symptoms & Warning Signs

Chest Pain, Dyspnea, Palpitations, Dizziness, Syncope, Fatigue, Edema, Rapid/Irregular Heartbeat, Jaw/Neck/Arm Pain, Nausea/Vomiting, Claudication, Cyanosis, Orthopnea, PND, Diaphoresis, Heart Murmurs, JVD, Cold Extremities, Unexplained Weight Gain, Cognitive Changes

11. Special Populations

Women's Heart Health, Pregnancy/CVD, Menopause, Pediatric/Congenital, Elderly/Geriatric, Athletes/Sports Cardiology, Young Adults, Diabetes Patients, CKD Patients, Cancer Survivors (Cardio-Oncology), Autoimmune Patients, Ethnic/Racial Disparities, LGBTQ+, Low SES, Rural/Urban, Shift Workers, Caregivers, Mental Health Patients, Bariatric Patients, Transplant Recipients

12. Anatomy & Physiology

Heart Chambers, Heart Valves, Coronary Arteries, Conduction System, Cardiac Cycle, Cardiac Output, Stroke Volume, Ejection Fraction, BP Regulation, Endothelium, Atherosclerosis, Plaque Formation/Rupture, Thrombosis, Ischemia, Reperfusion Injury, HRV, Autonomic Nervous System, RAAS, Oxidative Stress, Myocardial Remodeling

13. Emerging Tech & Innovation

Wearables, AI in Cardiology, ML Risk Prediction, Telemedicine, Remote Monitoring, Mobile Health Apps, ECG Watches, CGM, Loop Recorders, 3D Printing, Robotic Surgery, Gene Therapy, CRISPR, Stem Cells, Nanomedicine, Cardiac Regeneration, Polygenic Risk Scores, Digital Twins, Blockchain, VR Rehabilitation

14. Psychosocial & Environmental

Chronic Stress, Acute Stress, Depression, Anxiety, PTSD, Social Isolation, Social Support, SES, Education Level, Job Strain, Unemployment, Relationship Quality, Adverse Childhood Experiences, Resilience, Purpose/Meaning, Optimism, Hostility/Anger, Type A Personality, Insomnia, Environmental Noise

15. Comorbidities & System Interactions

Cardio-Renal Syndrome, Cardio-Metabolic Disease, Heart-Brain Axis, Cardio-Pulmonary (COPD), Liver-Heart, Gut Microbiome-CVD, Thyroid-Heart, ED as CVD Marker, Gout-CVD, Osteoporosis-Vascular Calcification, RA-Heart Disease, Psoriasis-CVD, HIV-CVD, Chronic Pain-Heart, Migraine-CVD, Periodontal Disease, Anemia-HF, Vitamin Deficiencies, Hormonal Imbalances, Polypharmacy

Tweet Examples

Good Examples (Emulate These)

Surprising fact opener:

Your morning coffee might protect your heart. A meta-analysis of 36 studies found 3-5 cups daily linked to lowest CV risk. The mechanism? Likely polyphenols improving endothelial function.

Seeds: Coffee | Modifiers: Meta-Analysis, Mechanism

Myth-busting:

"All cholesterol is bad" is outdated thinking. LDL particle number matters more than total LDL. Two people with identical LDL-C can have vastly different cardiovascular risk.

Seeds: LDL, LDL-P | Modifiers: Myth-Busting, Comparison

Counterintuitive insight:

Elevated troponin after a marathon doesn't mean heart attack. It reflects cardiac strain, not damage. Levels normalize within 24-72 hours. Context matters in biomarker interpretation.

Seeds: Troponin, Athletes | Modifiers: Myth-Busting, Context

Actionable advice:

Want better blood pressure control? Try 150 min/week of moderate exercise. SPRINT trial showed lifestyle modifications alone dropped systolic BP by 5-8 mmHg on average.

Seeds: Hypertension, Exercise | Modifiers: How-To, Latest Research

Clinical observation (anonymized):

I often see patients dismiss leg swelling as "just water retention." But new ankle edema in someone with risk factors warrants cardiac evaluation. Early heart failure often hides in plain sight.

Seeds: Edema, Heart Failure | Modifiers: Symptoms, Early Detection

Short punchy:

Lp(a) is 90% genetic. Diet and exercise won't budge it. If you haven't checked yours, consider it. One test, lifelong relevance.

Seeds: Lp(a), Genetics | Modifiers: Prevention, Quick Summary

Question hook:

Why do heart attacks spike on Monday mornings? Cortisol surge, BP rise, and platelet aggregation peak during early AM stress. Your cardiovascular system feels that alarm clock too.

Seeds: MI, Circadian | Modifiers: Mechanism, Explainer

Bad Examples (Avoid These)

AI-typical phrasing (DO NOT USE):

❌ Let's delve into the fascinating world of cardiovascular biomarkers — understanding these markers is truly a game-changer for heart health!

Problems: "delve," em dash, "game-changer," exclamation mark, generic

Overly generic:

❌ Studies show that exercise is good for your heart. It's important to note that staying active can help prevent heart disease.

Problems: "Studies show," "It's important to note," no specifics

Overconfident claims:

❌ This one supplement will completely reverse your heart disease and eliminate your need for medications!

Problems: Overstated benefits, potentially dangerous

Robotic list format:

❌ Here are 5 ways to improve heart health:
- Exercise more
- Eat better
- Sleep well
- Reduce stress
- Don't smoke

Problems: Generic, list format, no insight

Perfect parallel structure (AI tell):

❌ Exercise improves your heart. Nutrition improves your heart. Sleep improves your heart. Stress reduction improves your heart.

Problems: Unnatural repetitive structure

Writing Patterns to Use

Varied sentence openings:

• Direct statement: "Lp(a) levels are 90% genetic."
• Question: "Why do cardiologists care about particle number?"
• Observation: "I see this pattern repeatedly in clinic."
• Counterpoint: "But here's what most people miss."
• Number: "150 minutes per week. That's the exercise threshold."

Natural transitions:

• "The reason?" not "Here's the thing:"
• "What this means:" not "Let's break it down:"
• "Turns out," not "Interestingly,"
• "Worth knowing:" not "It's important to note that"

Credibility markers:

• Cite study types: "RCT," "meta-analysis," "cohort data"
• Name trials when well-known: SPRINT, FOURIER, REDUCE-IT
• Mention mechanisms: "via endothelial function," "through LDL receptor upregulation"
• Use appropriate hedging: "suggests," "associated with," "may contribute to"