coolhunter

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

Query 1: "[topic] news today"
Query 2: "[topic] latest developments 2025"  
Query 3: "[topic] emerging trend"
Query 4: "[topic] [specific subtopic] news"

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)

## 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]

# [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]

coolhunter-output/
└── report-{YYYY-MM-DD-HHmm}/
    └── {title-slug}.md

coolhunter-output/
└── report-2025-12-31-1430/
    └── ai-agents-reshape-enterprise-software.md

# 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"