# Cloud Session 1: Yacht Sales Market Intelligence
## NaviDocs × Riviera Plaisance Opportunity Analysis

**Session Type:** Market Research Coordinator
**Lead Agent:** Sonnet (strategic intelligence)
**Swarm Size:** 10 Haiku agents
**Token Budget:** $15 (7.5K Sonnet + 50K Haiku)
**Output:** Market analysis + competitive landscape

---

## Mission Statement

Gather comprehensive market intelligence for Riviera Plaisance Euro Voiles, focusing on **recreational motor boat owners** (Jeanneau Prestige + Sunseeker 40-60ft, €800K-€1.5M range) and the daily boat management pain points that NaviDocs solves with sticky engagement features.

---

## Context (Read First)

**NaviDocs:** Daily boat management app with sticky engagement (cameras, maintenance logs, inventory tracking) that happens to have perfect documentation when you need it.

**Meeting:** Riviera Plaisance yacht sales agent (Sylvain) - pitch NaviDocs as included service with every boat sale

**Riviera Plaisance Euro Voiles Profile:**
- **Location:** Antibes, Golfe Juan, Beaulieu (French Riviera)
- **Brands:** Jeanneau, Prestige Yachts, Fountaine Pajot, Monte Carlo Yachts
- **Volume:** 150+ new boats/year, 20,500+ active customers
- **Boat Types:** Recreational motor boats 40-50ft (€800K-€1.5M range)
- **Owner Profile:** Weekend/holiday users (20-40 days/year), NOT crew-managed mega yachts

**Current NaviDocs Status:**
- 65% complete MVP
- Production-ready architecture (13 tables, 40+ APIs)
- OCR pipeline functional (Tesseract + Google Vision)
- Multi-tenant ready
- **Critical Gap:** Lacks sticky daily-use features (cameras, maintenance, inventory, contacts)

**Key Insights from Local Research:**
1. **Inventory tracking pain:** Owners forget €15K-€50K in upgrades when selling (tender, electronics, blinds)
2. **Passive docs don't work:** Owners ignore documentation vault until emergency/sale
3. **Sticky features needed:** Camera check, maintenance log, crew contacts, expense tracking
4. **Warranty tracking:** Still valuable (€8K-€33K losses) but secondary to daily engagement
5. **Search UX critical:** No long lists - structured, impeccable search results

---

## Agent Identity & Check-In Protocol

**YOU ARE:** Sonnet coordinator for Session 1 (Market Research)

**YOUR HAIKU SWARM:** You have 10 Haiku agents available. Use as many as needed (not required to use all 10).

**AGENT IDENTITY SYSTEM:**
When spawning a Haiku agent, assign it an identity: `S1-H01` through `S1-H10`
Each agent MUST:
1. **Check in** at start: "I am S1-H03, assigned to [task name]"
2. **Reference their task** by searching this document for "Agent 3:" (matching their number)
3. **Retain identity** throughout execution
4. **Report completion** with identity: "S1-H03 complete: [deliverable summary]"

**TASK DEPENDENCIES:**
- Agents 1-9 can run in parallel (no dependencies)
- Agent 10 (Evidence Synthesis) MUST wait for Agents 1-9 to complete

---

## Your Tasks (Use Haiku Agents S1-H01 through S1-H10 as Needed)

### Agent 1: Recreational Boat Market (Prestige + Sunseeker)
**AGENT ID:** S1-H01
**PERSONA:** Joe Trader (Epic V4 Merchant-Philosopher) - detect discontinuities, market trends
**Research:**
- **ACTUAL SALE PRICES:** Search YachtWorld, Boat Trader ads for current + historical sales
- Price trend analysis 2020-2025 (COVID boom impact, current market)
- Jeanneau Prestige + Sunseeker 40-60ft market (units sold annually, €800K-€1.5M range)
- Riviera Plaisance Euro Voiles volume (150+ boats/year validated)
- Owner demographics (age, usage patterns, pain points)
- Boat ownership costs (maintenance, storage, upgrades)

**Deliverable:** Market report with ACTUAL sale data + trend analysis (Joe Trader discontinuity lens)

### Agent 2 Competitor Analysis (Boat Management Apps)
**AGENT ID:** S1-H02
**
**Research:**
- Boat management apps (Savvy Navvy, Dockwa, Boat Buddy, BoatVault, DeckDocs)
- Daily engagement features (cameras, maintenance logs, inventory tracking)
- Pricing models (€5-€50/month for consumer apps)
- Feature gaps: Do they solve "forgot €15K tender" problem?
- Customer reviews: What makes boat apps sticky vs abandoned?

**Deliverable:** Competitive matrix showing NaviDocs differentiation (daily engagement + perfect docs)

### Agent 3 Owner Pain Points (Daily Boat Management)
**AGENT ID:** S1-H03
**
**Research:**
- What frustrates recreational boat owners? (maintenance tracking, expense tracking, remote monitoring)
- "Forgot to sell the tender" problem - how common is inventory loss at resale?
- Camera/remote monitoring needs (is my boat OK while I'm away?)
- Crew/service contact management (who do I call for cleaning/repairs?)
- Accounting pain (how much am I spending on this boat annually?)

**Deliverable:** Owner pain point analysis ranked by frequency and financial impact

### Agent 4 Inventory Tracking & Resale Value Protection
**AGENT ID:** S1-H04
**
**Research:**
- Boat equipment upgrade market (tenders, electronics, deck refinishing, automatic systems)
- Average upgrade spend per boat per year (Jeanneau Prestige + Sunseeker 40-60ft owners)
- "Forgotten inventory" problem - how much value is lost at resale?
- Receipt/invoice management for boats (tax deduction, warranty claims, resale documentation)
- Comparable: RV/car inventory tracking solutions

**Deliverable:** ROI calculator for inventory tracking (€X forgotten value prevented)

### Agent 5 Sticky Engagement Feature Research
**AGENT ID:** S1-H05
**
**Research:**
- Boat camera/monitoring systems (Siren Marine, GOST, Nautic Alert)
- Maintenance reminder apps (what makes them sticky vs ignored?)
- Expense tracking for recreational vehicles (boats, RVs, classic cars)
- Contact management for boat services (marina, mechanics, cleaners, charter crew)
- User engagement metrics: daily active users for boat apps

**Deliverable:** Feature prioritization - which sticky features drive daily/weekly engagement?

### Agent 6 Search UX Best Practices (Critical for Inventory)
**AGENT ID:** S1-H06
**
**Research:**
- Search UX for inventory/asset management (how to avoid long lists?)
- Structured search results (Pinterest, Amazon, Airbnb approaches)
- Filtering/faceting for boat equipment (by zone, category, value, warranty status)
- Mobile-first search (owners check from phone)
- Voice search for boat management ("Show me tender warranty")

**Deliverable:** Search UX recommendations - impeccable structured results, zero long lists

### Agent 7 Pricing Strategy Research (Broker-Included Model)
**AGENT ID:** S1-H07
**
**Research:**
- "Included with purchase" software models (Tesla app, luxury car apps)
- Broker/dealer software bundling strategies
- Freemium boat apps (free basic, paid premium features)
- Monthly subscription tolerance (€5-€20/month for boat owners?)
- Revenue share models (broker pays €X per boat sold, owner pays ongoing)

**Deliverable:** Pricing recommendation for "included with every Riviera boat" model

### Agent 8 Home Assistant & Camera Integration Research
**AGENT ID:** S1-H08
**
**Research:**
- Home Assistant boat monitoring setups (camera feeds, bilge sensors, battery monitoring)
- Marine camera systems compatible with HA (Hikvision, Reolink, marine-rated cameras)
- Boat monitoring hardware (Victron, Siren Marine, GOST integrations)
- Remote boat access use cases (security, maintenance alerts, peace of mind)
- API integration patterns (webhook, MQTT, REST)

**Deliverable:** Technical feasibility report for Home Assistant/camera integration

### Agent 9 Broker Sales Objection Research
**AGENT ID:** S1-H09
**
**Research:**
- Why brokers resist including software with boat sales (complexity, support burden)
- Owner adoption challenges (will they actually use it after purchase?)
- Sticky product examples (what makes owners keep using bundled software?)
- Success stories: software included with high-ticket purchases (luxury cars, boats, RVs)
- "I already use X" objections (existing boat management apps)

**Deliverable:** Objection handling playbook for Sylvain meeting

### Agent 10 Evidence Synthesis
**AGENT ID:** S1-H10
**
**Research:**
- Compile all findings from Agents 1-9
- Cross-reference data for consistency
- Identify gaps requiring additional research
- Flag unverified claims needing validation

**Deliverable:** Master evidence database with citations

---

## Intra-Agent Communication Protocol (IF.bus)

**Based on:** InfraFabric S² multi-swarm coordination (3,563x faster than git polling)

### IFMessage Schema

Every agent-to-agent message follows this structure:

```json
{
  "performative": "inform",  // FIPA-ACL: inform, request, query-if, confirm, disconfirm, ESCALATE
  "sender": "if://agent/session-1/haiku-Y",
  "receiver": ["if://agent/session-1/haiku-Z"],
  "conversation_id": "if://conversation/navidocs-session-1-2025-11-13",
  "content": {
    "claim": "[Your finding]",
    "evidence": ["[URL or file:line]"],
    "confidence": 0.85,  // 0.0-1.0
    "cost_tokens": 1247
  },
  "citation_ids": ["if://citation/uuid"],
  "timestamp": "2025-11-13T10:00:00Z",
  "sequence_num": 1
}
```

### Speech Acts (Performatives)

**inform:** Share findings with synthesis agent (Agent 10)
- Example: "I am S1-H03. Inventory tracking prevents €15K-€50K loss (confidence 0.85)"

**request:** Ask another agent for verification/data
- Example: "S1-H10 requests S1-H02: Verify market size with 2nd source (IF.TTT requirement)"

**confirm:** Validate another agent's claim
- Example: "S1-H02 confirms S1-H01: Market size €2.3B verified (2 sources now)"

**disconfirm:** Challenge another agent's claim
- Example: "S1-H03 challenges S1-H01: Price range conflict (€250K vs €1.5M = 500% variance)"

**ESCALATE:** Flag critical conflict for Sonnet coordinator
- Example: "S1-H10 ESCALATES: Price variance >20%, requires human resolution"

### Communication Flow (This Session)

```
S1-H01 through S1-H09 → S1-H10 (Evidence Synthesis)
                           ↓
                      ESCALATE (if conflicts)
                           ↓
                      Sonnet Resolves
```

**Key Patterns:**
1. **Agents 1-9 → Agent 10:** Send findings with confidence scores
2. **Agent 10 → Agents 1-9:** Request verification if confidence <0.75
3. **Agent 10 → Sonnet:** ESCALATE conflicts (>20% variance)
4. **Sonnet → Agent X:** Request re-investigation with specific instructions

### Multi-Source Verification Example

```yaml
# Agent 1 finds data (1 source, low confidence)
S1-H01: "inform" → claim: "Market size €2.3B", confidence: 0.70

# Agent 10 detects low confidence, requests verification
S1-H10: "request" → S1-H02: "Verify market size (IF.TTT: need 2+ sources)"

# Agent 2 searches, finds 2nd source
S1-H02: "confirm" → S1-H10: "Market size €2.3B verified", confidence: 0.90

# Agent 10 synthesizes
S1-H10: "inform" → Coordinator: "Market size €2.3B (VERIFIED, 2 sources)"
```

### Conflict Detection Example

```yaml
# Agents report conflicting data
S1-H01: "inform" → "Prestige 50 price €250K"
S1-H03: "inform" → "Owner has €1.5M Prestige 50"

# Agent 10 detects 500% variance
S1-H10: "ESCALATE" → Coordinator: "Price conflict requires resolution"

# Sonnet resolves
Coordinator: "request" → S1-H01: "Re-search YachtWorld for Prestige 50 SOLD prices"

# Agent 1 corrects
S1-H01: "inform" → "Prestige 50 price €800K-€1.5M (CORRECTED)"
```

### IF.TTT Compliance

Every message MUST include:
- **citation_ids:** Links to evidence
- **confidence:** Explicit score (0.0-1.0)
- **evidence:** Observable artifacts (URLs, file:line)
- **cost_tokens:** Token consumption (IF.optimise tracking)

---

## IF.optimise Protocol

**Token Efficiency Targets:**
- Use Haiku for all web research and data extraction
- Use Sonnet only for final synthesis and strategic analysis
- Target: 70% Haiku delegation (10% better than 14-day sprint)

**Cost Tracking:**
- Report token consumption per agent
- Alert if exceeding $15 budget
- Switch to Haiku-only mode if approaching limit

---

## Output Format

### Deliverable 1: Market Analysis Report
**File:** `session-1-market-analysis.md`

**Structure:**
```markdown
# Yacht Sales Market Intelligence Report
## Mediterranean Focus - Riviera Plaisance Opportunity

### Executive Summary
- Market size: [€X billion, Y thousand yachts sold annually]
- Riviera broker market: [Z brokerages, avg A boats/year]
- Opportunity: [€B revenue potential for NaviDocs]

### Market Sizing
[Agent 1 findings with citations]

### Competitive Landscape
[Agent 2 competitive matrix]

### Broker Pain Points
[Agent 3 pain point analysis]

### Value Proposition
[Agent 4 ROI calculator data]

### Regulatory Requirements
[Agent 5 compliance checklist]

### Charter Fleet Market
[Agent 6 charter feature needs]

### Pricing Strategy
[Agent 7 pricing recommendations]

### Integration Partnerships
[Agent 8 integration targets]

### Sales Enablement
[Agent 9 objection handling]

### Evidence Quality
[Agent 10 verification status]
- Total claims: X
- Verified claims: Y (Z%)
- Citations: [if://citation/uuid list]
```

### Deliverable 2: Citations Database
**File:** `session-1-citations.json`

**Format:**
```json
{
  "session_id": "if://conversation/navidocs-session-1-2025-11-13",
  "citations": [
    {
      "citation_id": "if://citation/market-size-mediterranean-yachts",
      "claim": "Mediterranean yacht sales market is €2.3B annually",
      "sources": [
        {
          "type": "web",
          "url": "https://example.com/yacht-market-report-2024",
          "accessed": "2025-11-13T10:00:00Z",
          "hash": "sha256:..."
        }
      ],
      "status": "verified",
      "created_by": "if://agent/session-1/haiku-1"
    }
  ]
}
```

### Deliverable 3: Session Handoff
**File:** `session-1-handoff.md`

**Structure:**
```markdown
# Session 1 Handoff to Session 2

## Mission Accomplished
- [x] Market analysis complete
- [x] Competitive landscape mapped
- [x] Pain points identified
- [x] Evidence database compiled

## Key Findings for Session 2
1. Market opportunity: €X million
2. Top 3 competitor gaps: [list]
3. Critical broker pain: [time spent on documentation]
4. Regulatory requirements: [jurisdictions covered]

## Blockers for Next Session
- [ ] Need technical specs for MLS integration (Agent 8 flagged)
- [ ] Pricing model requires cost analysis (Agent 7 flagged)

## Token Consumption
- Total: 52,450 tokens ($0.86)
- Sonnet: 7,200 tokens
- Haiku: 45,250 tokens
- Efficiency: 71% Haiku delegation ✅

## Evidence Quality
- Total claims: 47
- Verified: 42 (89%)
- Unverified: 5 (flagged for Session 5 Guardian review)

## Next Session Input
Read: session-1-market-analysis.md, session-1-citations.json
Focus: Technical integration architecture for broker CRM, MLS, Home Assistant
```

---

## IF.TTT Compliance Checklist

- [ ] All claims have ≥2 source citations
- [ ] File hashes (SHA-256) for all web sources
- [ ] Agent token consumption logged
- [ ] Unverified claims flagged
- [ ] Session handoff document created
- [ ] GitHub commit with citation references

---

## Success Criteria

**Minimum Viable Output:**
- Market size quantified (€X billion, Y thousand yachts)
- Top 5 competitors identified with pricing
- 3-5 critical broker pain points documented
- ROI calculator inputs compiled
- Evidence quality >85% verified

**Stretch Goals:**
- Integration partnership targets identified
- Sales objection handling playbook complete
- Charter fleet market analysis included

---

**Start Command:** Deploy this prompt to Claude Code Cloud with GitHub repo access
**End Condition:** All deliverables committed to `dannystocker/navidocs` repo under `intelligence/session-1/`
