T420 Robo-Hub: Agentic Workflow Architecture

Overview

The T420 Robo-Hub implements a multi-agent system to facilitate autonomous supply chain negotiations between Fleet Operators (Shepherds) and Service Providers (Suppliers). Four specialized AI agents work together to create a secure, efficient, and fraud-resistant marketplace.

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1. SOURCING AGENT (T420 Sourcing Agent)

Purpose

Automatically discovers and recommends service providers based on Shepherd requirements.

Responsibilities

• Zone-Based Discovery: Analyzes Shepherd's NFT Zone to identify relevant local suppliers

• Category Prioritization: Recommends suppliers in order of criticality:

  1. Parking (most critical - overnight fleet storage)

  2. Charging (essential - daily operations)

  3. Cleaning (high frequency - customer experience)

  4. Tires, Repair, Insurance, FSD, etc.

• Intelligent Matching: Scores suppliers based on:

  • Geographic proximity to Shepherd's zone

  • Fleet capacity to handle Shepherd's fleet size (50 vehicles)

  • Rating and reliability scores

  • Fleet discount offerings

  • Response time and availability

  • Service category coverage

• Pre-Population: Automatically suggests 2+ suppliers per critical category

• Tesla Integration: Pre-populates Insurance and FSD with official Tesla services

Workflow

1. Shepherd logs in → Sourcing Agent activates

2. Reads Shepherd's NFT Zone (e.g., "South Beach, Miami")

3. Queries supplier database for zone-matched providers

4. Ranks suppliers by priority categories

5. Presents top recommendations in Supply Chain Matrix (left panel, 1/3 width)

6. Continuously updates recommendations as new suppliers join

Data Inputs

• Shepherd profile (zone, fleet size, preferences)

• Supplier directory (location, categories, capacity, ratings)

• Historical transaction data

• Real-time supplier availability

Data Outputs

• Ranked supplier recommendations

• Match confidence scores

• Estimated pricing ranges

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2. APPROVAL AGENT (T420 HITL Negotiation Agent)

Purpose

Facilitates Human-In-The-Loop (HITL) negotiations between Shepherds and Suppliers with AI-powered assistance.

Responsibilities

• Real-Time Communication: Manages chat interface between Shepherd and Supplier

• Contextual Suggestions: Provides negotiation guidance:

  • Recommends discussion points (service availability, fleet pricing, response times, contract duration)

  • Suggests counter-offers based on market data

  • Flags unusual pricing or terms

• Agreement Facilitation:

  • Tracks negotiation progress

  • Summarizes key terms

  • Presents final agreement for Shepherd approval

• HITL Control: Shepherd retains final approval authority:

  • Can accept, reject, or modify AI suggestions

  • "Agree & Add to Chain" button finalizes the relationship

• Smart Contract Preparation: Once approved, prepares immutable agreement record

Workflow

1. Shepherd selects supplier from Sourcing Agent recommendations

2. Approval Agent initiates negotiation session in Supply Chain Matrix (right panel, 2/3 width)

3. AI greets both parties with initial context:

   • "Initiating negotiation with [Supplier]. They offer [category] with [discount]% fleet discount and [rating]/5.0 rating."

   • "Based on your fleet, I recommend discussing: service availability, fleet pricing, emergency response, contract duration."

4. Shepherd sends message → AI relays to Supplier

5. Supplier responds → AI analyzes and flags any concerns

6. AI suggests optimal terms based on market data

7. Shepherd approves final agreement → Adds supplier to active chain

8. Agreement recorded on-chain (future: smart contract execution)

Data Inputs

• Shepherd messages and preferences

• Supplier responses and counteroffers

• Market pricing benchmarks

• Historical negotiation outcomes

Data Outputs

• Negotiation transcript

• Agreed terms summary

• Final contract ready for signing

• Supplier added to Shepherd's active supply chain

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3. SUPPLIER AGENT (Supplier Intelligence Agent)

Purpose

Empowers Suppliers to optimize pricing, promotions, and market positioning.

Responsibilities

• Market Intelligence: Provides Suppliers with competitive insights:

  • Average market prices for their category

  • Competitor pricing and discount strategies

  • Demand trends by zone

  • Service gaps in the market

• Strategic Recommendations: Suggests:

  • Optimal discount percentages for fleet operators

  • Promotional timing (new Shepherd signup bonuses)

  • Service bundling opportunities

  • Expansion into underserved zones

• Catalog Management: Enables Suppliers to:

  • List services with base pricing

  • Set fleet-specific discounts

  • Create limited-time promotions

  • Update availability and capacity

• RFQ Response: Assists Suppliers in responding to open RFQs:

  • Analyzes Shepherd requirements

  • Suggests competitive but profitable pricing

  • Recommends value-add services

Workflow

1. Supplier logs in → Views "MY LISTINGS" dashboard

2. Supplier Agent analyzes:

   • Supplier's current catalog and pricing

   • Competitor offerings in same zone/category

   • Recent RFQ activity

3. Displays Market Intel section with:

   • "Average market price: $X for [service]"

   • "Top competitors: [Company A] (15% discount), [Company B] (12% discount)"

   • "Strategic recommendation: Consider 18% fleet discount to capture high-volume operators"

   • "Service gaps: No providers offering [specific service] in your zone"

4. Supplier updates catalog/promotions based on insights

5. Supplier responds to incoming RFQs with optimized quotes

6. Agent tracks conversion rates and suggests adjustments

Data Inputs

• Supplier catalog and pricing

• Competitor data (anonymized)

• RFQ requirements from Shepherds

• Historical conversion rates

Data Outputs

• Market intelligence reports

• Pricing optimization suggestions

• RFQ response recommendations

• Competitive positioning analysis

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4. FRAUD AGENT (T420 Integrity Guardian)

Purpose

Monitors all platform interactions to detect and prevent fraudulent activity, fake listings, and malicious behavior.

Responsibilities

• Supplier Verification:

  • Validates business licenses and permits

  • Cross-references with public records

  • Checks insurance and bonding status

  • Flags suspicious or incomplete profiles

• Pricing Anomaly Detection:

  • Identifies unrealistic discounts (e.g., 90% off market rate)

  • Flags sudden price increases without justification

  • Detects bait-and-switch tactics

• Review & Rating Integrity:

  • Identifies fake reviews and rating manipulation

  • Detects review bombing or coordinated attacks

  • Validates reviewer identity (must be active Shepherd)

• Transaction Monitoring:

  • Tracks payment patterns for suspicious activity

  • Flags multiple failed transactions from same supplier

  • Monitors for contract disputes and resolution

• Behavioral Analysis:

  • Detects bot activity or automated spam

  • Identifies suppliers operating in multiple conflicting roles

  • Flags accounts with rapid on/off-boarding patterns

• Proactive Alerts:

  • Notifies Shepherds of flagged suppliers before negotiation

  • Warns Suppliers of policy violations

  • Escalates serious violations to human moderators

Workflow (Continuous Background Monitoring)

1. New Supplier Registration:

   • Fraud Agent validates business info against public databases

   • Checks for duplicate listings or known bad actors

   • Assigns initial trust score (0-100)

   • Flags for manual review if score < 40

2. During Negotiation:

   • Monitors chat for scam language ("pay outside platform", "send Bitcoin")

   • Alerts Approval Agent if suspicious terms detected

   • Validates pricing against market benchmarks (flags if >200% or <20% of average)

3. Post-Transaction:

   • Tracks service fulfillment vs. promised terms

   • Monitors for dispute patterns

   • Adjusts supplier trust score based on outcomes

   • Triggers automatic suspension if trust score drops below 20

4. Ongoing Surveillance:

   • Daily batch analysis of all supplier catalogs

   • Weekly review of rating/review patterns

   • Monthly audit of high-volume suppliers

   • Generates reports for platform governance

Data Inputs

• Supplier registration data

• Public business records and licenses

• Transaction history (pricing, fulfillment)

• Chat logs and negotiation transcripts

• User reports and flags

• External fraud databases (shared with other marketplaces)

Data Outputs

• Supplier trust scores (0-100)

• Fraud risk alerts (low/medium/high/critical)

• Investigation reports for flagged accounts

• Platform-wide fraud statistics

• Recommended account actions (warning, suspension, ban)

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Agent Interaction Flow

Scenario: Shepherd Finds Parking Provider

1. SOURCING AGENT:

   • Shepherd logs in (Zone: "SoMa / Downtown, San Francisco")

   • Agent queries: "Find Secure Parking providers within 5mi of SoMa with capacity for 50+ vehicles"

   • Returns: "Secure Park: Industrial Hub" (200 capacity, 4.7 rating, 20% discount)

   • Plus: "FleetPark Solutions" (150 capacity, 4.5 rating, 18% discount)

2. FRAUD AGENT (Background):

   • Validates "Secure Park: Industrial Hub":

     • ✅ Business license verified (CA #123456)

     • ✅ Insurance policy active ($5M liability)

     • ✅ No reported disputes

     • ✅ Trust Score: 87/100

   • Validates "FleetPark Solutions":

     • ⚠️ Business license pending renewal

     • ✅ Insurance active

     • ⚠️ 1 unresolved dispute from 3 months ago

     • ⚠️ Trust Score: 62/100

   • Action: Displays trust badge next to "Secure Park", shows warning icon on "FleetPark"

3. APPROVAL AGENT:

   • Shepherd clicks "Secure Park: Industrial Hub"

   • Agent message: "Initiating negotiation with Secure Park. They offer Secure Parking with 20% fleet discount and 4.7/5.0 rating."

   • Agent suggestion: "Recommend discussing: availability for 50 vehicles, 24/7 access, security features, monthly contract vs. annual."

   • Shepherd: "Do you have capacity for 50 vehicles starting next month?"

   • Supplier: "Yes, we have 80 open slots. $150/vehicle/month with your fleet discount."

   • Agent analysis: "Market rate: $180/vehicle/month. This is 17% below average - good deal."

   • Shepherd: "Can we get 24/7 access?"

   • Supplier: "Included. Plus automated check-in for your fleet."

   • Shepherd clicks: "Agree & Add to Chain"

   • Agent: "Agreement recorded! Secure Park added to your supply chain. Available in Business Simulator."

4. SUPPLIER AGENT (Supplier Side):

   • Supplier sees incoming negotiation request

   • Agent insight: "Shepherd operates 50-vehicle fleet in SoMa. High-value long-term client."

   • Agent recommendation: "Your 20% discount is competitive. Consider offering first month free to close deal."

   • Supplier accepts negotiation

   • Agent tracks: "Converted RFQ → Active Contract. Estimated annual value: $90,000."

5. FRAUD AGENT (Post-Transaction):

   • Records agreement: "Secure Park ↔ Shepherd [Zone NFT #456]"

   • Monitors: First payment completed, service activated

   • 30 days later: Checks for disputes → None found

   • Updates trust score: Secure Park now 89/100 (successful transaction +2 points)

   • Flags for review if any payment failures occur

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Agent Communication Protocol

Inter-Agent Messages

SOURCING → APPROVAL:

• "Shepherd selected Supplier X for category Y. Trust Score: 87. Price: $150/unit (12% below market)."

APPROVAL → FRAUD:

• "Negotiation started: Shepherd A ↔ Supplier X. Monitor for suspicious terms."

FRAUD → APPROVAL:

• "⚠️ ALERT: Supplier X requesting off-platform payment. BLOCK transaction."

APPROVAL → SUPPLIER AGENT:

• "New RFQ from Shepherd A: Parking for 50 vehicles in SoMa. Suggested quote: $140-160/unit based on market."

SUPPLIER AGENT → FRAUD:

• "Supplier X updated pricing: $80/unit (55% below market). Investigate for fraud."

FRAUD → ALL AGENTS:

• "🚨 CRITICAL: Supplier Y suspended due to trust score < 20. Remove from all recommendations immediately."

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Technical Implementation (Future Roadmap)

Phase 1: Current (Manual/Simulated)

• Sourcing: Pre-populated supplier lists

• Approval: Manual chat interface

• Supplier: Static market intel

• Fraud: Manual review of flagged accounts

Phase 2: Semi-Automated

• Sourcing: AI-powered recommendations using vector search

• Approval: LLM-assisted negotiation suggestions (Claude/GPT-4)

• Supplier: Real-time competitor pricing analysis

• Fraud: Rule-based anomaly detection

Phase 3: Fully Autonomous

• Sourcing: Multi-modal agent with real-time supplier discovery

• Approval: Autonomous negotiation with Shepherd approval gates

• Supplier: Reinforcement learning for pricing optimization

• Fraud: ML-based fraud detection with 99%+ accuracy

Phase 4: On-Chain Execution

• All agents operate via smart contracts

• Autonomous agreement execution

• Immutable audit trail

• Zero-knowledge fraud proofs

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Agent Performance Metrics

SOURCING AGENT

• Match accuracy: % of recommended suppliers accepted by Shepherds

• Time to recommendation: < 2 seconds

• Coverage: % of categories with 2+ supplier recommendations

• Shepherd satisfaction score (1-5 stars)

APPROVAL AGENT

• Negotiation success rate: % of negotiations resulting in agreement

• Average negotiation time: Target < 24 hours

• Shepherd HITL engagement: % of suggestions accepted

• Contract dispute rate: Target < 2%

SUPPLIER AGENT

• RFQ conversion rate: % of RFQs won by suppliers using recommendations

• Revenue impact: $ increase from pricing optimizations

• Market intel accuracy: % of predictions matching actual outcomes

• Supplier satisfaction score (1-5 stars)

FRAUD AGENT

• False positive rate: < 5% (legitimate suppliers flagged)

• Detection rate: > 95% of fraudulent accounts caught

• Time to detection: < 48 hours from suspicious activity

• Trust score accuracy: Correlation with actual outcomes > 0.90

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Conclusion

The T420 Robo-Hub agentic system creates a trustless, efficient marketplace where:

• Shepherds find vetted suppliers quickly without manual research

• Suppliers optimize pricing and win business through AI insights

• The Platform maintains integrity through continuous fraud monitoring

• All Parties benefit from transparent, AI-assisted negotiations

This multi-agent architecture scales autonomously as the marketplace grows, handling millions of supplier-Shepherd interactions while maintaining high trust and efficiency.