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store_memory(name='REVENUE_MARKET_FLORIDA', entity_type='RESOURCE', observations=['{"id": "REVENUE_MARKET_FLORIDA", "type": "market_segment", "name": "Florida US Speed Market", "profile": "Extreme competition, 30-second response window", "voice_dna": "High-energy, polite, ultra-fast", "pricing_anchor": "vs revenue lost to competitors", "focus": "Instant response, never miss lead", "key_verticals": ["hvac", "real_estate", "tourism"], "timestamp": "2026-01-08T00:00:00Z"}'])
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store_memory(name='REVENUE_FAILURE_MODE_2', entity_type='BLOCKER', observations=['{"id": "REVENUE_FAILURE_MODE_2", "type": "premortem_risk", "name": "Email Deliverability Disaster", "probability": "MEDIUM-HIGH", "impact": "HIGH", "mitigation": "14-day warmup, start 50-100/day", "decision_point": "Warmup timeline", "timestamp": "2026-01-08T00:00:00Z"}'])
store_memory(name='REVENUE_FAILURE_MODE_3', entity_type='BLOCKER', observations=['{"id": "REVENUE_FAILURE_MODE_3", "type": "premortem_risk", "name": "Content Quality Destroys Trust", "probability": "MEDIUM", "impact": "CRITICAL", "mitigation": "100% HITL review first 30 days", "decision_point": "HITL process owner", "timestamp": "2026-01-08T00:00:00Z"}'])
store_memory(name='REVENUE_FAILURE_MODE_4', entity_type='BLOCKER', observations=['{"id": "REVENUE_FAILURE_MODE_4", "type": "premortem_risk", "name": "Churn Kills Economics", "probability": "HIGH", "impact": "HIGH", "mitigation": "Database Reactivation in first 30 days", "decision_point": "Reactivation mandatory?", "timestamp": "2026-01-08T00:00:00Z"}'])
store_memory(name='REVENUE_TECH_STACK', entity_type='INTEGRATION', observations=['{"id": "REVENUE_TECH_STACK", "type": "infrastructure", "name": "Master Technology Stack", "crm": "GoHighLevel", "api_bridge": "Mastanley GHL-MCP 269+ tools", "voice_ai": "Gemini 2.5 Flash Native Audio", "telephony": "Telnyx $0.01/min", "email": "Instantly.ai", "leads": "Apify", "content": "Pomelli + Veo", "orchestration": "n8n on Elestio", "memory": "PostgreSQL/Redis/Qdrant", "timestamp": "2026-01-08T00:00:00Z"}'])
store_memory(name='REVENUE_ROI_GUARANTEE', entity_type='FEATURE', observations=['{"id": "REVENUE_ROI_GUARANTEE", "type": "value_proposition", "name": "5X ROI Guarantee", "statement": "If we don\'t identify at least 5X our fee in recovered opportunities within 30 days, you don\'t pay the retainer", "source": "genesis_gemini_insights.md", "timestamp": "2026-01-08T00:00:00Z"}'])
store_memory(name='REVENUE_CHURN_PREVENTION', entity_type='PATTERN', observations=['{"id": "REVENUE_CHURN_PREVENTION", "type": "retention_protocol", "name": "30-Day Churn Prevention", "method": "Database Reactivation Campaign", "expected_result": "5-10 new 5-star Google Reviews in 30 days", "customer_perception": "You got me more reviews in a month than I got in 5 years", "source": "agileadapt_phase_one_launch_v2_3tier.md", "timestamp": "2026-01-08T00:00:00Z"}'])
store_memory(name='REVENUE_DECISION_1', entity_type='DECISION', observations=['{"id": "REVENUE_DECISION_1", "type": "decision_point", "name": "Voice AI Build vs Buy", "options": ["Custom Gemini+Telnyx", "GHL Native $97/client"], "research_needed": "Latency testing, cost modeling", "risk_if_wrong": "Blocks pipeline", "timestamp": "2026-01-08T00:00:00Z"}'])
store_memory(name='REVENUE_DECISION_2', entity_type='DECISION', observations=['{"id": "REVENUE_DECISION_2", "type": "decision_point", "name": "Market Sequence", "options": ["AU only then US", "Parallel"], "research_needed": "Competition analysis, sales cycle data", "risk_if_wrong": "Diluted focus", "timestamp": "2026-01-08T00:00:00Z"}'])
store_memory(name='REVENUE_DECISION_3', entity_type='DECISION', observations=['{"id": "REVENUE_DECISION_3", "type": "decision_point", "name": "Setup Fee Strategy", "options": ["$0", "$299", "$499"], "research_needed": "Conversion testing, competitor analysis", "risk_if_wrong": "CAC uncovered or \'too good to be true\'", "timestamp": "2026-01-08T00:00:00Z"}'])
store_memory(name='REVENUE_POSITIONING', entity_type='PATTERN', observations=['{"id": "REVENUE_POSITIONING", "type": "brand_strategy", "name": "Digital Infrastructure Positioning", "bad_pitch": "We tell your unique brand story", "good_pitch": "We build a digital asset that works 24/7", "frame": "Digital PPE - essential business protection", "key_messages": ["Open for business signal", "Digital shopfront", "Reputation insurance"], "source": "genesis_gemini_insights.md", "timestamp": "2026-01-08T00:00:00Z"}'])
store_memory(name='REVENUE_OBJECTION_MATRIX', entity_type='PATTERN', observations=['{"id": "REVENUE_OBJECTION_MATRIX", "type": "sales_framework", "name": "Objection Handling Matrix", "objections": {"too_expensive": "One job covers 2-4 months", "too_busy": "Send 2 photos via WhatsApp weekly", "my_work_speaks": "Ghost social = out of business signal", "get_referrals": "Referrals Google you first", "tried_before": "Because you stopped - we never stop"}, "source": "agileadapt_phase_one_launch_v2_3tier.md", "timestamp": "2026-01-08T00:00:00Z"}'])
store_memory(name='REVENUE_WEEK1_SUCCESS', entity_type='TASK', observations=['{"id": "REVENUE_WEEK1_SUCCESS", "type": "success_criteria", "name": "Week 1 Success Metrics", "criteria": ["5+ AI calls completed", "2+ paying customers", "0 negative reviews", "Email open rate >40%", "Voice answer rate >50%"], "timestamp": "2026-01-08T00:00:00Z"}'])
store_memory(name='REVENUE_MONTH1_TARGET', entity_type='TASK', observations=['{"id": "REVENUE_MONTH1_TARGET", "type": "milestone", "name": "Month 1 Revenue Target", "customers": 10, "mrr": 8650, "churn_target": "<15%", "case_studies": 3, "source": "agileadapt_phase_one_launch_v2_3tier.md", "timestamp": "2026-01-08T00:00:00Z"}'])
store_memory(name='REVENUE_AU_TERMINOLOGY', entity_type='PATTERN', observations=['{"id": "REVENUE_AU_TERMINOLOGY", "type": "localization_rule", "name": "Australian Terminology Dictionary", "mappings": {"drywall": "Gyprock", "truck": "Ute", "hvac": "Air Con", "outlet": "Power Point", "faucet": "Tap", "contractor": "Tradie"}, "critical_rule": "AI must use AU terms, NOT American", "timestamp": "2026-01-08T00:00:00Z"}'])
store_memory(name='REVENUE_HITL_PROTOCOL', entity_type='PATTERN', observations=['{"id": "REVENUE_HITL_PROTOCOL", "type": "quality_control", "name": "Human-In-The-Loop Requirements", "reason": "Construction is HIGH-RISK industry", "examples": ["No hard hat = fine", "Unsafe ladder = legal liability"], "solution": "Every post reviewed by Sydney-based QA", "marketing_angle": "AI-Powered, Human Verified", "timestamp": "2026-01-08T00:00:00Z"}'])
store_memory(name='EXTERNAL_PRICING_VALIDATION', entity_type='RESOURCE', observations=['{"id": "EXTERNAL_PRICING_VALIDATION", "type": "market_intelligence", "source": "5 AI Services That Sell for $5K+ - YouTube (Lindsay McGuire)", "url": "https://www.youtube.com/watch?v=z84sIOLYFpk", "services": {"ai_voice_agents": {"setup": "$1,000-$5,000", "monthly": "$500-$1,000", "premium_case": "$10,000 for $118k ROI generation"}, "lead_magnet_nurture": {"basic": "$1,000-$2,000 + monthly", "full_system": "$4,000-$6,000 + monthly", "model": "Also performance-based possible"}, "social_media_automation": {"retainer": "$1,000-$2,000/month", "alternative": "$3,000-$5,000 setup + $500-$800/month", "positioning": "50% savings vs human social media manager"}, "referral_review_system": {"setup": "$2,000-$4,000", "performance_model": "$1,500 upfront + 10-20% revenue share"}, "database_reactivation": {"range": "$2,000-$8,000", "performance_model": "$3,000 upfront + 5-10% revenue", "closes_highest_ticket": true, "example_roi": "5000 leads \\u00d7 5% conversion \\u00d7 $3000 job = $750,000"}}, "key_axioms": ["Price based on VALUE created not time spent", "Database reactivation closes highest ticket consistently", "Understanding business problems > understanding technology", "First service is foot in door for everything else"], "5_prong_confirmation": "EXACT MATCH to Genesis 5-prong model", "timestamp": "2026-01-08T00:00:00Z"}'])
store_memory(name='PRICING_BENCHMARK_VOICE_AI', entity_type='RESOURCE', observations=['{"id": "PRICING_BENCHMARK_VOICE_AI", "type": "pricing_intelligence", "service": "AI Voice Agents", "external_range": {"setup_low": 1000, "setup_high": 5000, "monthly_low": 500, "monthly_high": 1000}, "genesis_current": {"standalone": 597, "addon": 297}, "gap_analysis": "Genesis UNDERPRICED by 40-60% vs market", "action": "Consider raising voice AI pricing to $997-$1,497/mo", "timestamp": "2026-01-08T00:00:00Z"}'])
store_memory(name='PRICING_BENCHMARK_SOCIAL', entity_type='RESOURCE', observations=['{"id": "PRICING_BENCHMARK_SOCIAL", "type": "pricing_intelligence", "service": "Social Media Automation", "external_range": {"retainer_low": 1000, "retainer_high": 2000, "setup_low": 3000, "setup_high": 5000}, "genesis_current": {"tier1": 499, "tier2": 850, "tier3": 1450}, "gap_analysis": "Genesis Tier 1-2 BELOW market; Tier 3 AT market", "action": "Push Tier 2 as default; position Tier 1 as \'starter\'", "timestamp": "2026-01-08T00:00:00Z"}'])
store_memory(name='PRICING_BENCHMARK_DATABASE', entity_type='RESOURCE', observations=['{"id": "PRICING_BENCHMARK_DATABASE", "type": "pricing_intelligence", "service": "Database Reactivation", "external_range": {"low": 2000, "high": 8000, "performance": "upfront + 5-10% revenue"}, "genesis_current": {"addon": 397}, "gap_analysis": "Genesis MASSIVELY UNDERPRICED - should be $2,000-$5,000", "action": "CRITICAL: Reprice database reactivation as standalone $2,997-$4,997", "highest_closer": true, "reason": "Proven ROI, existing data, immediate measurable results", "timestamp": "2026-01-08T00:00:00Z"}'])
store_memory(name='AXIOM_DATABASE_REACTIVATION_FIRST', entity_type='LESSON', observations=['{"id": "AXIOM_DATABASE_REACTIVATION_FIRST", "type": "strategic_axiom", "statement": "Database reactivation closes highest ticket because ROI is immediately visible from existing data", "source": "Lindsay McGuire validation", "application": "Lead with Database Reactivation, not Social Media", "revenue_example": "5000 leads \\u00d7 5% \\u00d7 $3000 = $750,000 potential", "timestamp": "2026-01-08T00:00:00Z"}'])
store_memory(name='KINAN_DECISIONS_FINAL', entity_type='DECISION', observations=['{"id": "KINAN_DECISIONS_FINAL", "type": "decision_record", "timestamp": "2026-01-08T00:00:00Z", "decisions": {"d1_voice_ai": {"answer": "AU: ElevenLabs/Telnyx (VoiceAIWrapper T3 $249/mo). US: GHL for testing", "status": "LOCKED"}, "d2_email_warmup": {"answer": "5 DFY at 20-30/day NOW + concurrent portfolio warmup", "status": "LOCKED"}, "d3_market_sequence": {"answer": "Kinan preference (Sydney implied)", "status": "LOCKED"}, "d4_hitl_process": {"answer": "AI QA Agent \\u2192 AI Quality Manager \\u2192 Kinan HITL (first weeks)", "status": "LOCKED"}, "d5_setup_fee": {"answer": "$299 now, $499 at scale", "status": "LOCKED"}, "d6_legal_review": {"answer": "Skip", "status": "LOCKED"}, "d7_beta_program": {"answer": "Hybrid: Cover $1-1.5K overhead, then favor reviews", "status": "LOCKED"}, "d8_infrastructure": {"answer": "Take 1 week for stabilization", "status": "LOCKED"}, "d9_default_tier": {"answer": "Let choose - Tier 1 limited to encourage upgrades", "status": "LOCKED"}, "d10_facebook": {"answer": "Global Pages with geo-location routing", "status": "LOCKED"}}, "revenue_priority": "MRR primary, setup fees secondary", "research_pending": "Database reactivation competitive analysis across 10 verticals"}'])
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store_memory(name='DBR_COMPETITORS_US', entity_type='RESOURCE', observations=['{"id": "DBR_COMPETITORS_US", "type": "competitive_intelligence", "market": "usa_florida", "competitors": {"dentalscapes": {"model": "monthly_retainer", "pricing": "1000-2000/mo", "weakness": "dental_only"}, "adit": {"model": "custom", "weakness": "heavy_tech_requirement"}, "99calls": {"model": "tiered_packages", "pricing": "500-1500/mo", "weakness": "lead_gen_not_reactivation"}, "local_ghl_agencies": {"pricing": "2500-10000", "weakness": "inconsistent_quality"}}, "timestamp": "2026-01-08T00:00:00Z"}'])
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