Research Automation

Automated research system that searches the web for new developments in peptides, biohacking, longevity, and trending health topics.

What It Does

• - Web Search: Queries multiple sources for latest research, protocols, and trends
• Content Curation: Filters and organizes findings by topic
• Insight Generation: Extracts actionable insights and content angles
• Auto-Save: Stores research in structured markdown files for easy access

Topics Covered

1. 1. Peptides: New peptides, clinical studies, protocols, dosing updates
2. Biohacking Protocols: Emerging techniques, stack combinations, optimization methods
3. Longevity Science: Aging research, interventions, biomarkers, clinical trials
4. Trending Topics: Viral health content, controversial topics, zeitgeist shifts
5. Performance Optimization: Founder health, cognitive enhancement, metabolic optimization

Usage

On-Demand Research

Run a targeted research query:

CODEBLOCK0

Example:
CODEBLOCK1

Scheduled Research (Heartbeat)

The skill runs automatically via heartbeat rotation, cycling through research topics:

• - Peptides (weekly)
• Biohacking protocols (twice weekly)
• Longevity updates (weekly)
• Trending topics (daily)

Output Format

Research is saved to research/[topic]/[date].md:

CODEBLOCK2

Search Strategy

For each research run:

1. 1. Query Construction: Build 3-5 targeted search queries
2. Source Diversity: Mix academic, clinical, and practical sources
3. Recency Filter: Prioritize last 30 days (configurable)
4. Signal Extraction: Identify novel information vs. repetition
5. Content Angle Generation: Translate findings into tweet/post ideas

Integration with Content Creation

Research outputs feed directly into:

• - content/biohacker-angles-[date].md (Twitter content)
• INLINECODE2 (Nattokinase angles)
• INLINECODE3 (Long-form reference)

Search Queries by Topic

Peptides

• - "new peptides 2026"
• "GLP-1 peptides clinical trials"
• "peptide protocols biohacking"
• "BPC-157 latest research"
• "thymosin beta-4 studies"

Biohacking

• - "biohacking protocols 2026"
• "founder health optimization"
• "cognitive enhancement stack"
• "metabolic optimization techniques"
• "bloodwork optimization protocols"

Longevity

• - "aging research 2026"
• "longevity interventions clinical trials"
• "senolytics latest studies"
• "rapamycin longevity research"
• "NAD+ aging protocols"

Trending

• - "health twitter trending"
• "biohacking controversy"
• "peptide discussion twitter"
• "longevity debate 2026"

Filtering Criteria

Include:

• - Novel findings (not widely covered)
• Clinical/scientific backing
• Actionable protocols
• Controversial/debate-worthy topics
• Counter-narrative insights

Exclude:

• - Generic wellness advice
• Repeated information
• Non-peer-reviewed claims without strong reasoning
• Pure speculation without mechanism

Best Practices

1. 1. Run research before content creation sprints - Fresh angles generate better ideas
2. Review weekly summaries - Track emerging patterns and shifts
3. Cross-reference findings - Connect dots between topics (e.g., peptides + longevity)
4. Archive high-value findings - Move breakthrough research to INLINECODE4

Manual Research Workflow

When you need deep research on a specific topic:

1. 1. Specify the topic and angle:

1. 2. Review the output:

1. 3. Generate content:

Heartbeat Integration

To enable scheduled research, add to HEARTBEAT.md:

CODEBLOCK5

Output Locations

CODEBLOCK6

Tips for Maximizing Value

• - Run daily for trending topics - Capture zeitgeist shifts early
• Run weekly for scientific topics - Avoid overwhelming with noise
• Review findings during content planning - Best source of fresh angles
• Cross-pollinate topics - Peptides + longevity = unique positioning
• Archive breakthroughs - High-value findings go to permanent notes