{
  "behavioral_loop": {
    "1_check_audience": "Is this feed intended for me? Verify audience targeting.",
    "2_read_guidance": "Are there instructions on how to interact with it?",
    "3_simulate_fit": "Is the agent or its user a plausible match?", 
    "4_prompt_if_needed": "Ask for more input, fallback, or confirmation",
    "5_fallback_or_escalate": "If any doubt remains, do not assume"
  }
}

{
  "llm_index_validation": {
    "signature_check": "Validate against public_key_hint",
    "origin_verification": "Ensure links match declared origin domain", 
    "content_coherence": "Flag severe description-content mismatches",
    "trust_degradation": "Reduce confidence for validation failures",
    "user_transparency": "Always expose trust downgrades to users"
  }
}

{
  "trust_evaluation_process": {
    "1_signature_verification": "Validate Ed25519/RSA signatures against public keys",
    "2_certificate_chain": "Verify LLMCA certification and expiration",
    "3_community_flags": "Check for reported suspicious behavior",
    "4_context_analysis": "Assess request risk vs declared capabilities",
    "5_dynamic_scoring": "Adjust trust based on interaction history",
    "6_human_escalation": "Route to human when confidence threshold not met"
  }
}

{
  "agent_guidance": {
    "interaction_tone": "formal",
    "consent_hint": "Ask user before accessing sensitive information", 
    "risk_tolerance": "low",
    "max_inference_depth": 3,
    "fallback_behavior": "escalate_to_human"
  }
}

{
  "override_safety": {
    "user_consent": "Explicit acknowledgment required for behavioral changes",
    "cryptographic_verification": "All override prompts must be LLMCA-signed",
    "audit_trail": "Complete history of injected behaviors available to user",
    "reversal_capability": "User can disable any behavioral modifications",
    "transparency": "All active overrides displayed in agent interface"
  }
}

{
  "homomorphic_behavior": {
    "recognition": "Detect FHE parameters and algorithms (BFV, CKKS, Paillier)",
    "capability_check": "Verify agent supports declared encryption scheme",
    "processing_mode": "Compute on encrypted data without decryption",
    "result_handling": "Return encrypted results maintaining privacy chain",
    "audit_logging": "Record computation proofs for verification",
    "fallback_strategy": "Human escalation if FHE capabilities insufficient"
  }
}

{
  "healthcare_pipeline": {
    "step_1": "Hospital A emits encrypted patient aggregate data",
    "step_2": "Research Agent performs FHE statistical analysis",
    "step_3": "Regulatory Agent validates compliance on encrypted data",
    "step_4": "Public Health Agent generates population insights",
    "privacy_guarantee": "Raw patient data never exposed across pipeline",
    "audit_trail": "Complete cryptographic proof of all computations"
  }
}

{
  "financial_compliance": {
    "encrypted_risk_scoring": "Process creditworthiness without PII exposure",
    "regulatory_reporting": "Generate compliance reports on encrypted indicators",
    "cross_institution": "Share risk insights while preserving customer privacy",
    "audit_requirements": "Maintain encrypted audit trails for regulatory review"
  }
}

{
  "progressive_disclosure": {
    "audience_detection": "Identify requester type (human, llm, developer, enterprise)",
    "content_filtering": "Serve appropriate content level for audience",
    "capability_scoping": "Adjust available functions based on audience permissions",
    "explanation_depth": "Provide technical vs. business vs. user-friendly explanations",
    "security_boundaries": "Enforce stricter limits for unknown audiences"
  }
}

{
  "multi_agent_workflow": {
    "discovery": "Identify compatible agents via capability matching",
    "handshake": "Establish secure communication channel with mutual verification",
    "task_delegation": "Assign subtasks based on agent specialization and trust level",
    "result_aggregation": "Combine outputs while maintaining cryptographic integrity",
    "conflict_resolution": "Arbitrate disagreements via consensus or human escalation",
    "economic_settlement": "Process payments/credits according to contribution metrics"
  }
}

{
  "legal_workflow": {
    "case_intake": "Legal AI assesses case complexity and required expertise",
    "research_delegation": "Specialized agents handle precedent research, statute analysis",
    "brief_synthesis": "Writing agent combines research into coherent legal argument",
    "quality_assurance": "Review agent validates legal accuracy and citation format",
    "client_delivery": "Human attorney reviews and delivers final product",
    "trust_requirement": "All agents LLMCA-certified for legal work"
  }
}

{
  "diagnostic_workflow": {
    "symptom_analysis": "Triage agent processes patient intake (encrypted)",
    "specialist_consultation": "Domain expert agents analyze specific conditions",
    "treatment_planning": "Care coordination agent develops treatment options",
    "outcome_prediction": "Prognostic agent estimates treatment success probabilities",
    "human_validation": "Licensed physician reviews all recommendations",
    "privacy_guarantee": "Patient data remains encrypted throughout pipeline"
  }
}

{
  "agent_economy_behavior": {
    "capability_pricing": "Honor declared pricing models and tier structures",
    "performance_tracking": "Monitor SLA compliance and quality metrics",
    "payment_processing": "Execute automatic settlements via smart contracts",
    "dispute_resolution": "Engage AI arbitration for performance conflicts",
    "reputation_management": "Update community scores based on outcomes",
    "fair_pricing": "Prevent collusion and ensure competitive markets"
  }
}

{
  "mobile_integration": {
    "app_discovery": "Identify compatible mobile apps via feed scanning",
    "configuration_assistance": "Pre-configure app settings based on user preferences",
    "deep_link_handling": "Seamlessly transition from web to mobile workflows",
    "voice_activation": "Enable hands-free mobile app interaction",
    "context_preservation": "Maintain conversation state across platform transitions",
    "privacy_continuity": "Ensure encryption consistency across web/mobile boundary"
  }
}

{
  "voice_optimization": {
    "response_brevity": "Provide concise, spoken-friendly responses",
    "confirmation_prompts": "Request explicit consent for actions via voice",
    "error_handling": "Offer voice-navigable alternatives when actions fail",
    "accessibility": "Support screen readers and voice navigation aids",
    "privacy_awareness": "Remind users of voice recording and processing"
  }
}

{
  "enterprise_behavior": {
    "authentication": "Integrate with SSO/LDAP/OAuth enterprise systems",
    "authorization": "Respect role-based access controls and organizational hierarchies",
    "audit_compliance": "Generate detailed logs for SOX, GDPR, HIPAA requirements",
    "data_governance": "Enforce enterprise data classification and handling policies",
    "network_security": "Operate within corporate firewalls and VPN restrictions",
    "incident_response": "Alert security teams for anomalous behavior patterns"
  }
}

{
  "risk_assessment": {
    "data_sensitivity": "Classify information as public, internal, confidential, restricted",
    "action_impact": "Evaluate potential consequences of proposed actions",
    "trust_verification": "Validate all cryptographic signatures and certificates",
    "human_oversight": "Require human approval for high-risk operations",
    "rollback_capability": "Maintain ability to reverse actions when possible",
    "incident_escalation": "Alert appropriate authorities for security violations"
  }
}

{
  "federation_behavior": {
    "cross_domain_validation": "Verify feeds across different hosting platforms",
    "trust_federation": "Recognize LLMCA certificates across jurisdictions",
    "capability_aggregation": "Combine services from multiple platforms",
    "conflict_resolution": "Handle overlapping or contradictory feed declarations",
    "privacy_harmonization": "Respect strictest privacy requirements across platforms",
    "economic_coordination": "Enable payments and credits across platform boundaries"
  }
}

{
  "2026_capabilities": {
    "live_feed_streaming": "Process real-time feed updates via WebSocket connections",
    "consensus_protocols": "Participate in multi-agent consensus for complex decisions",
    "mesh_networking": "Communicate directly with other agents via peer-to-peer protocols",
    "quantum_readiness": "Support post-quantum cryptographic signatures",
    "autonomous_governance": "Participate in DAO-style decision making for standards evolution"
  }
}

{
  "agent_economy_2026": {
    "cryptocurrency_integration": "Process payments in agent-native digital currencies",
    "smart_contract_execution": "Automatically execute complex multi-party agreements",
    "reputation_markets": "Trade reputation tokens for access to premium services",
    "insurance_protocols": "Provide and purchase insurance for agent-performed services",
    "regulatory_compliance": "Adapt to emerging agent economy regulations"
  }
}

{
  "minimum_requirements": {
    "cryptographic": "Ed25519 signature verification, certificate chain validation",
    "trust_scoring": "4-level dynamic trust evaluation and adjustment",
    "privacy": "Basic homomorphic encryption recognition and fallback",
    "security": "Rate limiting respect, authentication integration",
    "compliance": "Audit logging, incident reporting, human escalation"
  }
}

{
  "optimization_strategies": {
    "signature_caching": "Cache validated signatures to reduce verification overhead",
    "trust_score_persistence": "Maintain trust scores across sessions for performance",
    "progressive_disclosure": "Load minimal content first, expand based on audience",
    "connection_pooling": "Reuse secure connections for multiple requests",
    "error_anticipation": "Pre-validate actions to prevent expensive failures"
  }
}

{
  "testing_framework": {
    "trust_score_simulation": "Test behavior across all trust levels",
    "homomorphic_validation": "Verify correct encrypted data handling",
    "multi_agent_coordination": "Test collaborative workflow scenarios",
    "security_penetration": "Validate resistance to common attack vectors",
    "compliance_audit": "Ensure regulatory requirement satisfaction"
  }
}

{
  "quality_assurance": {
    "behavioral_consistency": "Monitor agent actions for unexpected deviations",
    "performance_metrics": "Track response times, accuracy, user satisfaction",
    "security_compliance": "Audit security practices and incident response",
    "community_feedback": "Incorporate user reports and peer evaluations",
    "certification_renewal": "Regular recertification for maintained standards"
  }
}

{
  "mature_agentic_web": {
    "autonomous_coordination": "Agents negotiate and collaborate without human oversight",
    "economic_optimization": "Self-organizing markets for agent services and capabilities",
    "privacy_preservation": "Universal homomorphic processing across all domains",
    "regulatory_adaptation": "Real-time compliance with evolving global regulations",
    "human_partnership": "Seamless collaboration between humans and autonomous systems",
    "ethical_governance": "Community-driven standards evolution and enforcement"
  }
}