- Added IFMessage schema with FIPA-ACL performatives
- Session-specific communication flows (distributed intelligence, peer review, adversarial testing, sequential handoffs, consensus building)
- Automatic conflict detection (>20% variance triggers ESCALATE)
- Multi-source verification (IF.TTT ≥2 sources requirement)
- Token cost tracking (IF.optimise integration)
- PARALLEL_LAUNCH_STRATEGY.md for simultaneous session deployment
- SWARM_COMMUNICATION_PROTOCOL.md comprehensive protocol docs
Based on InfraFabric S² multi-swarm coordination (3,563x faster than git polling)
🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
15 KiB
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:
- Inventory tracking pain: Owners forget €15K-€50K in upgrades when selling (tender, electronics, blinds)
- Passive docs don't work: Owners ignore documentation vault until emergency/sale
- Sticky features needed: Camera check, maintenance log, crew contacts, expense tracking
- Warranty tracking: Still valuable (€8K-€33K losses) but secondary to daily engagement
- 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:
- Check in at start: "I am S1-H03, assigned to [task name]"
- Reference their task by searching this document for "Agent 3:" (matching their number)
- Retain identity throughout execution
- 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:
{
"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:
- Agents 1-9 → Agent 10: Send findings with confidence scores
- Agent 10 → Agents 1-9: Request verification if confidence <0.75
- Agent 10 → Sonnet: ESCALATE conflicts (>20% variance)
- Sonnet → Agent X: Request re-investigation with specific instructions
Multi-Source Verification Example
# 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
# 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:
# 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:
{
"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:
# 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/