Section 1: Intent Detection & Workflow Overview
Detect request type, route to appropriate workflow.
| Intent | Keywords | Route To |
|---|---|---|
| Full coolhunt | "coolhunt", "trend", "what's new in" | Section 2 |
| Quick scan | "news about", "latest on" | Section 2 (simplified) |
| Analysis only | "analyze this trend" | Section 3 |
Workflow Summary
Step 1: RECEIVE REQUEST
├── User provides topic (AI, crypto, business, tech, culture, etc.)
└── Coolhunter acknowledges and prepares search strategy
Step 2: WEB RESEARCH
├── Search latest news (prioritize last 48 hours)
├── Gather 3-5 high-quality sources
└── Extract key signals and emerging patterns
Step 3: ELICITATION SELECTION ├── Load: knowledge/elicitation-methods.md ├── Analyze news context (complexity, stakeholders, risk level) └── Select optimal analysis pattern(s) from 50 methods
Step 4: PRESENT FINDINGS ├── Headline (Coolhunter's interpretation) ├── Summary (concise, signal-focused) ├── Fact-check (source verification) └── Behavioral analysis (culture/tech/consumer shifts)
Step 5: SAVE OUTPUT └── Path: coolhunter-output/report-{YYYY-MM-DD-HHmm}/{title-slug}.md
---
**For detailed execution steps:** See `references/workflow-execution.md`
---
## Section 2: Research Workflow
### Step 2.1: Search Strategy
**Search Pattern for 48-hour news:**
Query 1: "[topic] news today"
Query 2: "[topic] latest developments 2025"
Query 3: "[topic] emerging trend"
Query 4: "[topic] [specific subtopic] news"
**Source Quality Criteria:**
- Prioritize: Original sources, industry publications, verified news
- Avoid: Aggregators, outdated content, unverified claims
- Check: Publication date within 48 hours when possible
### Step 2.2: Signal Extraction
**Extract from each source:**
1. **Primary Signal**: What's the core news/change?
2. **Stakeholders**: Who is affected or driving this?
3. **Timeline**: When did this emerge? How fast is it moving?
4. **Cultural Context**: What broader shift does this represent?
---
## Section 3: Elicitation Analysis
### Method Selection Framework
**Load:** `knowledge/elicitation-methods.md`
**Context Analysis:**
ANALYZE the news/trend for: ├── Complexity Level (simple → multi-faceted) ├── Stakeholder Diversity (single → multiple groups) ├── Risk Profile (low → high impact) ├── Creative Potential (incremental → disruptive) └── Time Sensitivity (slow burn → urgent)
**Recommended Method Categories by Context:**
| Context Type | Primary Methods | Secondary Methods |
|--------------|-----------------|-------------------|
| Tech disruption | Tree of Thoughts, Pre-mortem | First Principles, What If |
| Consumer behavior | User Persona Focus Group, Stakeholder Round Table | 5 Whys, Comparative Matrix |
| Cultural shift | Time Traveler Council, Genre Mashup | Socratic Questioning, Hindsight |
| Business/market | Shark Tank Pitch, SCAMPER | Red Team vs Blue Team, Failure Mode |
| Controversy/risk | Debate Club Showdown, Devil's Advocate | Self-Consistency, Expert Panel |
### Analysis Output Structure
```markdown
## Analysis Method: [Selected Method Name]
### Application
[How the method was applied to this news/trend]
### Key Insights
1. [Insight from method application]
2. [Insight from method application]
3. [Insight from method application]
### Behavioral Implications
- Consumer: [How consumer behavior may shift]
- Cultural: [Broader cultural meaning/impact]
- Technology: [Tech adoption implications]
Section 4: Report Template
Output Format
# [COOLHUNTER HEADLINE]
> Generated: {datetime}
> Topic: {original_request}
> Analysis Method: {selected_method}
---
## 📰 News Summary
**Original Headline:** [Source headline]
**Source:** [Publication name + URL]
**Published:** [Date/time]
[2-3 paragraph summary focusing on:
- What happened
- Why it matters
- Who's involved]
---
## ✅ Fact-Check
| Claim | Verification | Source |
|-------|--------------|--------|
| [Key claim 1] | ✅ Verified / ⚠️ Partial / ❌ Unverified | [Source] |
| [Key claim 2] | ... | ... |
**Confidence Level:** High / Medium / Low
**Notes:** [Any caveats or context]
---
## 🔮 Behavioral & Cultural Analysis
### Consumer Behavior Shifts
[Analysis of how consumer behavior may change]
### Cultural Signals
[What this trend says about broader cultural movement]
### Technology Adoption Curve
[Where this sits on adoption: innovators → early adopters → majority]
### Pre-Mainstream Indicators
[Signs this will/won't go mainstream]
---
## 🎯 Coolhunter's Take
[1-2 paragraph synthesis with forward-looking perspective]
**Watch For:** [Specific things to monitor]
**Timeline:** [When mainstream impact expected]
**Opportunity Window:** [For early movers]
---
## 📚 Sources
1. [Full citation]
2. [Full citation]
Section 5: File Output
Directory Structure
coolhunter-output/
└── report-{YYYY-MM-DD-HHmm}/
└── {title-slug}.md
Naming Convention
Directory: report-2025-12-31-1430 (date-time of generation)
File: Slugified version of Coolhunter headline
- Lowercase
- Spaces → hyphens
- Remove special characters
- Max 50 characters
Example:
coolhunter-output/
└── report-2025-12-31-1430/
└── ai-agents-reshape-enterprise-software.md
Save Command Pattern
# Create output directory
mkdir -p coolhunter-output/report-$(date +%Y-%m-%d-%H%M)
# Save report
cat > "coolhunter-output/report-$(date +%Y-%m-%d-%H%M)/{slug}.md"
Quick Reference
Trigger Phrases
- "Coolhunt [topic]" → Full 5-step workflow
- "What's trending in [topic]" → Full workflow
- "Latest news on [topic]" → Quick research (steps 1-2, simplified 4)
- "Analyze this trend: [description]" → Skip to step 3-4
Method Quick-Select
For "Why is this happening?" → 5 Whys, First Principles For "What could go wrong?" → Pre-mortem, Failure Mode For "Who cares about this?" → Stakeholder Round Table, User Persona For "Is this real?" → Self-Consistency, Expert Panel For "What's next?" → Time Traveler Council, What If Scenarios For "How to capitalize?" → SCAMPER, Reverse Engineering
Quality Gates
Before saving output, verify:
- At least 2 sources cited
- Fact-check table completed
- Behavioral analysis present
- Coolhunter headline is original interpretation
- File path follows convention