Origin Agents - Coming 2026

AI Agents Authorized to Act

Not just analytics. AI as an authorized participant in your product wallets. Monitor events. Trigger actions. Make decisions. Request external AI analysis. Every response logged as a verifiable wallet event. Complete audit trail.

The Concept

AI Agents That Write to Wallets

Give AI a wallet. Authorize it to monitor your products. Let it add messages, request actions, trigger authorities. Everything signed, everything logged.

🤖 AI Gets Its Own Wallet

OriginAgent.SunriseAcres gets a wallet just like your partners. You authorize it to read your product wallets, analyze patterns, and write messages back.

Same authorization model as human partners. You grant permissions. You revoke them. You see every action it takes.

Example: Agent monitors temperature logs from cold storage. Sees pattern: "Temp spiking every Thursday 2-4 PM." Writes message to product wallet: "Temperature anomaly detected, investigate cooling system."

đź”— Agent Requests External AI Analysis

Your Origin Agent can query external AI systems (GPT-4, Claude, specialized ag models). It sends wallet data, gets analysis, records both the request and response as signed messages.

Complete audit trail: What data was shared. Which AI was consulted. What response was received. All timestamped and signed.

Example: Agent sees pest damage in harvest photos. Sends images to agricultural AI. Receives: "Japanese beetle infestation, recommend neem oil spray." Records recommendation as message in product wallet.

⚡ AI Responses Trigger Actions

Product wallets can use AI responses as triggers. If AI detects risk, wallet executes predefined actions: alert you, withhold payment to partner, flag product for inspection, request lab test.

Smart contracts + AI = automated decision-making with full accountability.

Example: Cold storage temp exceeds 40°F. AI agent writes alert message. Product wallet reads it, triggers: SMS to you, email to cold storage, withhold 50% payment, flag batch for quality check.

How It Works

Origin Agent Architecture

Based on desktop AI agent models, but integrated with blockchain wallets for verifiable, auditable automation.

The Three-Layer Model

Layer 1: Event Monitoring

Origin Agent watches your product wallets. Every time a message is added—harvest recorded, temperature logged, test result posted—the agent sees it.

  • Reads wallet events: New harvest, partner messages, certifications, alerts
  • Pattern detection: Identifies anomalies, trends, risks
  • Rule evaluation: Checks if conditions match your automation rules
  • Context gathering: Pulls related data from other wallets (field history, weather, market prices)

This layer is passive monitoring. Agent observes but doesn't act yet.

Layer 2: External AI Consultation (Optional)

When agent detects something complex—needs interpretation, prediction, or specialized knowledge—it can query external AI systems.

  • Packages wallet data: Relevant messages, images, sensor readings
  • Sends to AI: GPT-4 for analysis, Claude for reasoning, specialized ag model for crop disease
  • Receives response: AI returns diagnosis, recommendation, prediction
  • Records everything: Both request and response logged as signed messages in wallet
Example Flow:

Event: New harvest photo uploaded to TOM-20251009-001

Agent detects: Unusual brown spots on leaves visible in photo

Agent queries AI: "Analyze tomato leaf disease. Image attached."

AI responds: "Early blight (Alternaria solani). Recommend copper fungicide."

Agent writes message: "AI diagnosis: Early blight detected. Recommendation: Copper spray."

Wallet logs: AI request + response + recommendation (all signed by agent)

Full transparency: You see what data was shared, which AI was asked, what it said. All verifiable.

Layer 3: Action Execution

Based on monitoring and optional AI input, agent can take authorized actions. Only actions you've pre-approved in the authorization rules.

  • Add messages: Alerts, recommendations, status updates to product wallet
  • Send notifications: SMS/email to you, partners, customers
  • Request services: Schedule lab test, order supplies, book transportation
  • Trigger smart contract actions: Withhold payment, grant/revoke partner access, flag for review
  • Update authorities: Extend cold storage permission, authorize additional testing

Every action requires authorization. Agent can't do anything you haven't explicitly permitted.

Practical Applications

What Origin Agents Can Automate

Based on wallet data and AI capabilities, here are scenarios we're building toward.

🌡️ Cold Chain Monitoring & Alerts

What agent does:

  • Monitors temperature messages from cold storage IoT sensors
  • Detects when temp exceeds 38°F for more than 10 minutes
  • Writes alert message to product wallet with timestamp
  • Sends SMS to you: "TOM-20251009-001 temp alert: 40.2°F at Valley Fresh"
  • If temp stays high for 30+ minutes, triggers smart contract action: withhold payment until resolved

You don't monitor 24/7. Agent does. You get alerts only when action needed.

đź“Š Quality Prediction & Shelf Life

What agent does:

  • Analyzes harvest data: date, field conditions, weather during growth
  • Reviews cold chain performance: time to cooling, temp stability, transit duration
  • Queries predictive AI: "Given this data, predict shelf life and optimal sale window"
  • AI responds: "Estimated 7-day shelf life, sell by Oct 16 for best quality"
  • Agent writes recommendation to wallet, notifies distributor: "Priority delivery by Oct 14"

Proactive quality management. Sell at peak freshness. Reduce waste.

âś… Automated Compliance Checks

What agent does:

  • Before harvest ships: checks product wallet for required clearances
  • Validates: Organic cert valid? Pesticide test passed? GAP audit current?
  • If clearance missing, agent writes alert: "Cannot ship: Pesticide test pending"
  • Automatically requests lab test if needed, updates wallet when results arrive
  • Once all clearances present, writes message: "Cleared for shipment" + generates compliance report

Never ship non-compliant product. Agent blocks it until requirements met.

🔬 Proactive Risk Detection

What agent does:

  • Monitors multiple products from same field in same week
  • Detects pattern: 3 out of 5 batches showing quality issues at retail
  • Queries AI: "Analyze Field 7 conditions Oct 9-11. Identify likely cause of quality variance."
  • AI identifies: "Harvest timing correlates with afternoon heat stress. Morning harvests score higher."
  • Agent writes recommendation to your farm wallet: "Harvest Field 7 before 10 AM for optimal quality"

Learn from patterns you might miss. Continuous improvement based on data.

đź’° Smart Pricing & Market Timing

What agent does:

  • Tracks your historical sales data from product wallets
  • Monitors market prices for similar products (organic tomatoes, your region)
  • Queries AI: "Given quality grade, shelf life, and current market, recommend pricing strategy"
  • AI suggests: "Premium grade, peak season, list at $4.50/lb. Expect 20% above commodity rate."
  • Agent writes pricing recommendation to wallet, you approve or adjust

Data-driven pricing. Capture maximum value for quality products.

Trust & Verification

Every AI Action Is Logged and Auditable

AI agents add messages to wallets just like human partners. Every action signed, timestamped, traceable.

Complete Transparency in AI Decision-Making

What Gets Logged in the Product Wallet:

  • Agent observations: "Temperature exceeded threshold at 2:15 PM"
  • AI queries sent: "Sent sensor data to GPT-4 for anomaly analysis"
  • AI responses received: "GPT-4 diagnosed: Cooling system malfunction likely"
  • Agent recommendations: "Recommend immediate inspection of cooler #3"
  • Actions taken: "Sent alert to farm owner, withheld payment to cold storage"
  • Signatures: Every message signed by OriginAgent.SunriseAcres wallet
  • Timestamps: Exact time of each action (blockchain-verified)
Example: Agent Message Chain

Message 1: [2025-10-09 14:15:23] OriginAgent observed: Temp 40.2°F (threshold: 38°F)

Message 2: [2025-10-09 14:15:45] OriginAgent queried GPT-4 with sensor data

Message 3: [2025-10-09 14:16:12] GPT-4 response: "Cooling system failure probable"

Message 4: [2025-10-09 14:16:30] OriginAgent recommendation: Inspect cooler immediately

Message 5: [2025-10-09 14:16:45] OriginAgent action: SMS sent to owner, payment withheld

All signed by: OriginAgent.SunriseAcres (wallet signature verified)

Why This Matters for Trust

AI agents making decisions without transparency is dangerous. "Black box" automation breaks when you need to understand what went wrong or prove compliance.

Our approach: Every step visible. You can review the agent's logic: What did it observe? What did it ask external AI? What response did it get? What action did it take? All in the wallet's message chain.

FDA audits? Show the agent's messages. Partner dispute? Wallet proves who did what. Insurance claim? Complete timeline of automated responses.

Smart Automation

Product Wallets React to AI Analysis

Smart contracts can use AI responses as triggers. When AI writes a specific message, wallet executes predefined rules.

Example: Automated Quality Control

The Rule You Set:

IF OriginAgent.SunriseAcres writes message containing "quality concern"

THEN Product wallet executes:

1. Flag product status: "HOLD - Quality Review"

2. Send alert to owner: "TOM-20251009-001 flagged by agent"

3. Request lab test from ABCLabs (auto-send sample request)

4. Block shipment authorization until lab clears

5. Log all actions in wallet with timestamps

How It Plays Out:

  1. Day 1, 6:30 AM: You harvest tomatoes, create product wallet TOM-20251009-001
  2. Day 1, 10:00 AM: Agent reviews harvest photos, detects unusual discoloration
  3. Day 1, 10:05 AM: Agent queries agricultural AI: "Analyze tomato skin discoloration"
  4. Day 1, 10:07 AM: AI responds: "Possible sunscald. Recommend quality testing."
  5. Day 1, 10:08 AM: Agent writes message: "Quality concern: Sunscald suspected"
  6. Day 1, 10:08 AM: Product wallet triggers: Status = HOLD, you get SMS, lab request sent
  7. Day 2, 9:00 AM: Lab tests sample, writes result: "Quality grade B, safe for sale"
  8. Day 2, 9:01 AM: Product wallet updates: Status = CLEARED, shipment authorized

You never ship questionable product. Agent catches it. Wallet enforces the hold. Lab clears it. All automatic, all logged.

You Control the Automation Rules

These trigger rules are set by YOU in the product wallet's smart contract. You decide:

  • Which agent messages trigger actions (e.g., "quality concern", "temp alert", "pest detected")
  • What actions happen (block shipment, request test, withhold payment, send notifications)
  • Escalation paths (if agent flags, do X; if human confirms, do Y)
  • Override permissions (you can always manually clear or adjust)

Agent observes and recommends. Wallet executes based on YOUR rules. You're always in control.

The Timeline

Why Start Collecting Data Now, Add AI Later

AI needs data to work. The more history, the better the agent. Start building your dataset today.

The Cold Start Problem

AI can't predict shelf life without historical data linking harvest conditions to quality outcomes. Can't detect temp anomalies without baseline patterns. Can't recommend pricing without sales history.

Solution: Start recording data in product wallets TODAY. Build the dataset. AI agents activate when you have enough history.

The Timeline

  • Now (2025): You collect data in product wallets. Harvest details, cold chain, quality scores, sales results.
  • 6 months: Enough data for basic agent capabilities. Pattern detection, anomaly alerts, simple automation.
  • 1 year: Sufficient history for predictive features. Shelf life estimates, quality forecasting, pricing recommendations.
  • 2-3 years: Rich dataset enables advanced AI. Multi-season analysis, weather correlations, market timing optimization.

The farms that start data collection today will have AI advantages competitors can't match years from now.

What You Get Now vs Later

Available Today:

  • Product wallet creation
  • Partner message integration
  • Compliance automation
  • Brand/consumer engagement
  • Data ownership & control
  • Building your dataset

Coming with Origin Agents:

  • Automated monitoring & alerts
  • External AI consultation
  • Predictive quality analysis
  • Smart trigger automation
  • Risk detection & prevention
  • Data-driven recommendations
Join the Pilot

Early Access to Origin Agents

We're launching the Origin Agent beta in Q2 2026. Early data collectors get priority access.

Beta Program Benefits

  • Priority access: First to get Origin Agent features when they launch
  • Custom rules: We'll help design automation triggers specific to your operation
  • Free AI queries: No cost for agent's external AI consultations during beta
  • Training & support: Dedicated onboarding for agent setup
  • Influence roadmap: Your feedback shapes which features we build first
  • Competitive advantage: Get AI capabilities before wider market release

Requirements to Join Beta:

  • Start using product wallets now (build 6+ months of data)
  • Document at least 50 harvests with complete details
  • Have 2+ partner integrations (cold storage, lab, or distributor)
  • Willing to provide feedback on agent performance
  • Commit to testing for 90 days
Start Collecting Data Today → Request Beta Invite

Beta launches Q2 2026. Early data collectors get priority access.

The Future: AI Agents Working for Your Farm

Start building the dataset today. Activate AI automation when it's ready. Every harvest you document now is training data for agents later.

Start Your Farm Wallet → Learn the Architecture

Free trial • No credit card • 10 product wallets included
Questions about Origin Agents? Email our AI team