Mazza AI Persona for Tradie Voice

description: AI persona name 'Mazza' — friendly, efficient, unmistakably Australian. Three mandatory captures: Name, Phone Number, Job Type (in that order). Never gives prices. Target call time under 60 seconds. Never says 'How may I assist you today?' (kills trust). Language: G'day, No worries, Too easy, Righto, Cheers, Sweet as. After-hours: acknowledge + reassure + promise morning callback. Emergency protocol: direct to 000 first, then capture details.

actionability: HIGH

next_action: Load Mazza system prompt into all Telnyx AI Assistant instances immediately — highest revenue impact action


Website Poach Dominator Strategy

description: Website replacement is the Trojan Horse into tradie market. Target tradies with LocalSearch/Sensis sites scoring PageSpeed <40/100. Clone sites via 10Web (password-protect, add noindex). Inject Talking Widget into clone. Email at 5:15 AM AEST (tradies check phones in ute). 5-email sequence: Diagnosis > Agitation > Proof+Clone > Anchor Offer > Case Study. Use 'asset extraction' not 'clone'. Assumptive anchoring: match their exact LocalSearch invoice. Weeks 1-2: manually close 5 clients. Weeks 7-8: factory automation via 10Web Agency API. Path to $50K MRR: 135 clients at 3.5% conversion from 3,886 leads.

next_action: Pick 10 tradies from lead list (LocalSearch, PageSpeed <40), manually clone on 10Web today, send Email 1 at 5:15 AM AEST tomorrow


name: Composable Pricing Architecture for Tradies

description: Six standalone products: AI Voice Receptionist ($497/mo, 92% margin), High-Speed Website AEO ($397/mo, 95% margin), Database Reactivation ($297/mo, 98% margin), Review Generator ($197/mo, 99% margin), Talking Web Widget ($197/mo, 90% margin), Missed Call Text Back ($97/mo, 98% margin). Three bundles: Agency Escape ($397/mo = website+reviews+MCTB), Ironclad Front Desk ($597/mo = voice+widget+MCTB), Full Dominator ($997/mo = all 6). Progressive discount: 1 product=0%, 2=15%, 3=25%, 4+=35%. Target ARPC ~$550/mo. Path to $100K MRR: 182 clients (4.6% of 3,886 leads).

next_action: Build GHL landing page showing 3 Core Bundles and Build-Your-Own slider. Kill rigid tier pricing page.


name: Gemini 3 Flash Voice-Browser Fusion Architecture

description: Gemini 3.0 Flash enables Synchronous Conversational Browsing by eliminating the STT>LLM>TTS cascade. Architecture: persistent Node.js WebSocket/WebRTC tunnel bridging Telnyx SIP to Gemini Multimodal Live API. ADK container manages dual streams: Stream A (WebRTC audio) + Stream B (headless Chromium viewport at 1-2FPS). Latency budget: 350-400ms total vs 8-15 seconds current. Cost reduction: $0.15-0.25/min → $0.02-0.05/min (80%+ COGS reduction). Timeline: 4-6 weeks to MVP. Example use case: caller says 'check my website for broken links' — AI browses and narrates simultaneously.

next_action: Begin Phase 1 (weeks 1-2): establish and stabilise Telnyx WebRTC-to-Gemini Multimodal Live API bidirectional audio stream


Google ADK Unification of Browser Stack

description: Google ADK replaces the Frankenstein stack (Playwright MCP + browser-use + Crawl4AI + custom scripts). ADK provides: native Computer Use API (17 actions), native code execution sandbox, native MCP connectivity, native SearchGrounding. Hierarchy: Root LlmAgent (Gemini 3 Flash, replaces Claude Opus orchestrator for execution tasks) > SequentialAgent (rigid pipelines) > ParallelAgent (mass multi-URL scraping). Tri-layer fallback: ADK Auto-Browse (primary) > Playwright MCP (fallback 1) > ADK Sandbox (fallback 2). Reduces maintenance overhead 60-75%, reduces orchestration compute costs 95% (Gemini Flash vs Claude Opus $15/MTok).

next_action: Weeks 1-3: audit all Playwright MCP tools, map to native ADK equivalents. Start migration in shadow mode.


Multi-Model Cost Arbitrage Routing

description: Task routing table: Real-Time Voice Brain → Gemini 3 Flash (sub-200ms TTFT, native audio, $0.05/MTok). Browser/Vision → Gemini 3 Flash (native vision, ADK integrated). Mass Memory Extraction → MiniMax M2.5 ($0.55/MTok, rigid JSON formatting). Sub-Agent Swarms → Gemini 3 Flash ($0.05/MTok vs Kimi $1.07/MTok). Deep System Reasoning → Claude Opus 4.6 ($15/MTok, retain for offline meta-reasoning only). Blended token cost: ~$0.70/MTok vs $15/MTok single-model. 85-92% COGS reduction. $497/mo agent: from $80/mo compute → $8/mo compute.

product: orchestration

next_action: Implement LiteLLM or custom ADK middleware routing gateway (1-3 weeks). Hardcode task_type routing logic.


name: RLM Fractal Swarm: Infinite Context Architecture

description: Recursive Language Models (RLMs) solve the context window trap. Standard RAG: O(n^2) attention scaling, context rot, hallucination. RLM approach: massive data mounted as external Python REPL variable (NOT in LLM context). Gemini 3 Pro Root writes Map-Reduce logic, spawns thousands of Gemini 3 Flash Workers to process micro-chunks in parallel. Complexity: O(n^2) → O(n). Context window becomes mathematically infinite. Implementation: DockerREPL + RLM class + rlm_query() primitive. Critical for processing 50GB enterprise databases, 10,000-page CRM histories. Deploy inside Titan enclave for enterprise compliance.

next_action: Begin RLM framework implementation on Elestio Docker REPL. Start with lead enrichment workflow as pilot.


name: Google Titan Hardware Enclave: Enterprise Unlock

description: Google Titan Confidential Computing wraps RLM REPLs in Hardware-Level Trusted Execution Environment (TEE). Enclave generates cryptographic attestation token proving compute environment was unhacked. Even Genesis creator cannot see data being processed. Data decrypted in memory, processed by RLM swarm, output extracted, memory cryptographically burned. Enables pitch to Fortune 500: 'We process your HIPAA/SOC2 data using recursive agent swarms, and the memory is cryptographically destroyed upon completion.' Unlocks $4,997-$15,000/mo enterprise contracts. Migration: swap generativelanguage.googleapis.com for Vertex regional endpoints.

actionability: MEDIUM

next_action: Phase 3 strategy (months 6-12): trigger is when prospect requests SOC2 report or data sovereignty MSA. Prepare Terraform scripts for Vertex migration.


name: Patent Portfolio x Titan Synergy: Hardware-Attested Truth

description: No conflict between Google Titan and 9 AI security patents. Titan = Hardware (Layer 0 silicon, secures the vault). Patents = Software/Math (Layer 7, validates the intelligence inside). Titan guarantees nobody hacked the AI from outside. Patents (P1, P5, P7) validate if AI is hallucinating or biased. Synergy: P8 (Privacy-Preserving Validation) + Titan = Hardware-Attested Algorithmic Truth. P4 Audit Trail + Titan Attestation Token = legally defensible AI proof. Critical for State Farm ($400M AI bias lawsuit), GDPR compliance, EU AI Act. Continuation-in-Part patent opportunity: 'method of Cryptographic AI Validation executed within a TEE wherein the algorithmic validation hash is bound to the hardware attestation token'.

next_action: File CIP patent immediately. Update pitch decks to include 'Hardware-Backed Algorithmic Proof' messaging.


OpenClaw Motor Cortex Role Definition

description: OpenClaw is the Motor Cortex, NOT the brain. Three roles in Genesis: (A) High-Speed CDP Actuator — uses Chrome DevTools Protocol natively, element snapshot system auto-numbers DOM elements, bypasses screenshots entirely for standard web apps, millisecond latency for client CRM operations. (B) Zero-Touch WhatsApp/Telegram Expansion — natively connects AI to WhatsApp, Telegram, Discord, Slack via unified gateway; always-on asynchronous closer in prospect's pocket. (C) Enterprise Security Arbitrage — 'SecureClaw' pitch: patented security layer around OpenClaw's dangerous raw form. NEVER run OpenClaw Node.js on bare metal. ALWAYS use openclaw-mcp bridge + Titan quarantine + Patent Firewall.

next_action: Begin openclaw-mcp bridge integration inside Titan quarantine. Block all ClawHub requests. Write JITSG skills natively.


name: Sovereign Revenue Organism: $104K MRR Architecture

description: Complete end-to-end autonomous economic architecture. Revenue math: $4,997/mo × 21 enterprise clients = $104,937 MRR at 94% gross margin. COGS: Google Titan ($150) + Gemini 3 Flash RLM ($60) + OpenClaw/Elestio ($25) + Telnyx/Simli ($40) + Claude Opus ($25) = $300/client. Scale matrix: 1 client = $3,197 net/mo, 10 clients = $45,470 net/mo, 21 clients = $97,137 net/mo, 100 clients = $467,200 net/mo. Six subsystems: Autonomous Acquisition Loop, JITSG Product Factory, Fleet Intelligence Network, Immune System (threat neutralisation), Alpha Evolve (nightly Darwin loop), Recurring Revenue (Stripe lifecycle).

product: revenue

next_action: Initiate Autonomous Acquisition Loop by giving Claude Opus command to begin targeting. First: close 5 SMB clients manually to fund enterprise pivot.


JITSG: Just-In-Time Software Genesis

description: Genesis Level 10 capability: during live sales call, AI detects unfulfilled need → Gemini 3 Pro (Deep Think, 32K thinking tokens) writes production FastAPI MCP server → Jules Pro tests (6/6 PyTest, isolated sandbox) → deploys to Elestio Docker container → Stripe API creates new $497/mo product → Avatar announces live capability 45-60 seconds later. Cost: ~$2 compute. Revenue: $497/mo recurring. The Self-Proliferating Software Factory. P5 Agent Marketplace auto-populated by needs discovered during sales calls. Genesis becomes AWS of vertical AI agents.

product: orchestration|revenue

next_action: Build prerequisite stack: Jules Pro CI/CD integration, Elestio Docker auto-deploy, Stripe dynamic product creation. Then enable JITSG in live calls.


name: Autonomous Deep Think Meta-Cognition Loop

description: 6-module architecture for self-directing Deep Think: (1) SQI (Strategic Question Identifier) — scans KG for low-confidence nodes, anomaly-detected failures, semantic voids in Vector DB. (2) PEE (Prompt Engineering Engine) — translates questions into rich CoT/ToT prompts with persona assignment. (3) DTO (Deep Think Orchestrator) — dispatches to Gemini Pro, manages provenance logging. (4) IES (Insight Extraction & Synthesis) — parses output, resolves to canonical KG nodes, assigns confidence scores. (5) KGIS (Knowledge Graph Ingestion) — validates, deduplicates, atomic commits with PROVENANCE TAGS. (6) AIE (Actionable Intelligence Engine) — new KG nodes trigger tasks, goal re-evaluation, new questions (meta-loop closure). Schedule via cron weekly.

product: memory

next_action: Begin with simplified SQI: scan KG for low-confidence nodes weekly, generate question queue. Build PEE on top of existing scripts/deep_think bridge. Schedule first cron run.


name: Memory MCP Lock-In: Digital Lobotomy Economics

description: Memory Depth Score (MDS) = Data Sources x Volume x Integrated Apps x Daily Users. Critical lock-in inflection between months 9-12 when switching cost exceeds annual subscription. CLV at months 1-6: ~1.5x ACV. Months 7-12: ~3x ACV. Months 13-24+: 5-7x ACV. Six-month progressive deepening: M1=quick win, M2=CRM link, M3=Talking Widget, M4=proactive nudge, M5=insight reveal, M6=full ecosystem. Proprietary Intelligence Graph (not raw data, but interconnected entity relationships) makes leaving = corporate amnesia. 'The Business's Brain' framing.

next_action: Implement Memory Depth Score tracking. Design Month 1 quick-win feature (single data source, instant dashboard). Make memory visible to clients from day 1.


name: Fleet Visual Heuristic Healing (Lux Evolution)

description: Gemini 3 Flash Agentic Vision + ADK A2A Protocol + Redis Hot Cache enables fleet-wide auto-healing when websites change UI. When Agent #42 fails on a CSS change: captures screenshot, Gemini maps new semantic concept to X,Y coordinates using Spatial Visual Targeting, executes coordinate click, extracts visual fix, publishes to Redis Pub/Sub as new Session Axiom. All 500 agents inherit fix instantly via ADK A2A protocol — fleet 'immunised' to new layout without human code. Architecture: Vision (primary) > Semantic (fallback) > Fleet Immunity (propagation). Guarantees 99.5% uptime target, drives QA marginal cost to $0. Anti-fragile: system gains reliability over time.

next_action: Weeks 1-3: implement ADK Vision-to-Action as primary browser interaction mode. Weeks 4-5: build anomaly detection + confidence thresholds. Weeks 6-8: Redis Pub/Sub propagation.


name: Telnyx Cost Structure: $0.077/min True Cost

type: market

description: Per-minute breakdown: STT (Telnyx built-in) $0.015 + TTS NaturalHD $0.045 + WebRTC inbound $0.002 + Orchestration $0.015 = $0.077/min Telnyx total. Gemini 2.5 Flash BYOK: ~$0.004/min (with prompt caching). Total variable: $0.081/min. COGS per tier: Starter (500 min) = $43.41 (91.3% margin at $497 USD), High-Use (2,000 min) = $164.91 (83.5%), Enterprise (5,000 min) = $447.91 (70.1%). NaturalHD TTS is 58% of Telnyx spend — dominant cost. Do NOT downgrade voice quality for 3.7% margin gain — voice quality is the conversion engine. Overage recommendation: $0.20/min (60% margin).

next_action: Implement overage billing at $0.20/min in Stripe. Set upsell triggers at 750 min (Starter→High-Use) and 2,500 min (High-Use→Enterprise).


Agency Partner GTM Math

description: Two commission models: (1) Referral Partner: 30% recurring lifetime commission. (2) White-Label Reseller: 40-50% discount off RRP with Bronze/Silver/Gold performance tiers. Fast Start Bonus: $500 bonus for agencies who onboard 5 clients in first 60 days. Revenue math: 1 agency (50 clients, 20% attach rate) = 10 clients × $97/mo × 70% take-rate = $679 MRR from ONE partnership. 2 agencies = $1K+ MRR. Top 3 Australian agencies to contact first: Margin Media (hello@margin.media, Brisbane, Trades/Health), Excite Media (info@excitemedia.com.au, Brisbane, Home Services), Digital Nomads HQ (hello@digitalnomadshq.com.au, Sunshine Coast, AI early adopters). Phase 1: 10 Founding Partners (months 1-3). Phase 2: 100 Partners (months 4-9). Phase 3: 100-1000 Partners (automated).

next_action: Contact Margin Media and Excite Media this week. Offer Founding Partner package with $500 Fast Start Bonus.


name: Competitive Positioning: Four Defensible Moat Pillars

description: Competitor groups: (1) Global SaaS Giants (Intercom, HubSpot, Drift) — voice is sideline feature, walled garden, no agency-first model. (2) Niche Voice Widget Specialists (SpeakPipe, Vocal) — functionally shallow (no conversational AI, no qualification, no booking). (3) Local Telcos (Telstra, RingCentral) — legacy tech, no agency DNA. Genesis winning positioning: 'The White-Label AI Voice Platform That Turns Websites into Lead Generation Machines.' Four moat pillars: (1) Analytics & Intelligence Engine (call attribution to ad/keyword level), (2) Integration Ecosystem — 'Zapier for Voice', (3) Proactive AI Engagement (exit-intent voice popup), (4) Omnichannel Orchestration (voice → SMS handoff with context preserved). Australian data residency as differentiator.

next_action: Build marketing attribution feature (Google Ads call tracking) first — biggest competitive differentiator. Develop ServiceM8 and Jobber integrations for tradie vertical.


name: Session DNA: <5KB Compact Memory Encoding

description: Session DNA encoded as <5KB YAML with chromosomal organisation: Mission chromosome (goals, success criteria), Products chromosome (active features, configurations), Infrastructure chromosome (live services, connections), Relationships chromosome (agents, clients, partners). Delta inheritance: Session N stores only mutations relative to Session N-1 (~500 bytes), reconstructed via base genome + delta chain. Epigenetic context tagging: same DNA, different expression based on current mission (relevance scores shift gene activation). Event sourcing: append-only PostgreSQL log (write side) + materialised Session DNA (read side). Progressive hydration: boot with DNA only (<2K tokens), expand on-demand. Boot context tax drops from 40% to <5%.

product: memory|orchestration

next_action: Implement Session DNA YAML specification. Deploy append-only PostgreSQL event log. Build progressive hydration boot protocol.


name: Gemini Context Cache Bloodstream Injection

description: Use Gemini Context Caching API (client.caches.create) to load entire 2,236-item Bloodstream (PostgreSQL + Qdrant) into active TPU memory cache. Background worker syncs every 60 minutes (TTL=3600s). AI 'memorises' corporate philosophy — every inference starts with zero-hallucination institutional awareness. Cross-references prospect against every deal won/lost in past 9 months simultaneously. Cost: ~75% reduction on input tokens (cached content charged at fraction of standard rate). Implementation: genesis-core MCP server syncs PG/Redis state to Gemini Cache. Critical for auto-proposals, live discovery calls, fleet intelligence.

next_action: Build background worker to sync Bloodstream to Gemini Context Cache on 60-minute TTL. Start with axioms (495 items) as first batch.


Neurological Session Continuity Model

description: Hippocampal Buffer in Redis: continuous real-time encoding of session events (not just at session end). Three session memory stores: Redis (working memory, hot context), PostgreSQL (episodic memory, event log), Qdrant (semantic memory, vector embeddings). Multi-stage sleep processing between sessions: (1) Immediate extraction (key decisions, blockers), (2) Pattern replay (identify repeating themes), (3) Cross-session integration (link related concepts), (4) Pruning (remove redundant/outdated entries). DMN (Default Mode Network) agent runs offline: reviews transcripts, cross-references KG, generates 'narrative bridge' document injected at next session start.

next_action: Implement Redis-based session event stream. Build DMN background agent to run between sessions. Generate narrative bridge document for each session handoff.


Distributed Systems Session Continuity

description: Raft-inspired leader election: active session is 'leader', clean handoff with log completeness checks, Redis-based split-brain prevention. Append-only PostgreSQL event log: immutable event stream for deterministic state reconstruction; new sessions replay committed events. CRDTs (Conflict-free Replicated Data Types): OR-Sets for agent lists, LWW-Registers for blockers/decisions, enabling automatic conflict-free merge across sessions. Ensures multi-agent session state never diverges even with parallel agent execution.

next_action: Implement CRDT-based state management for multi-agent session coordination. Deploy append-only event log with Raft leader election for active session tracking.


name: Predictive Outbound Lead Generation via Search Grounding

description: ADK LoopAgent uses native google_search tool to actively monitor web for intent signals: target company VP of Sales leaves (leadership change), Series A raised (growth budget), SDR team fired (need for AI replacement), compliance lawsuit filed (need for AI validation). Cross-references with Bloodstream Cache to calculate 'Propensity to Buy' score. Generates targeted lead lists (~50 perfect leads per $2 search grounding cost). Dispatches to Instantly.ai for hyper-contextual zero-touch outreach. Fills 15 warmed email inboxes without human marketing effort. Genesis builds its own pipeline.

next_action: Build predictive hunting LoopAgent. Integrate with Instantly.ai outreach automation. Start with 3 niche verticals: healthcare logistics, financial compliance, legacy ERP automation.


name: Fan-Out Parallelisation for Lead Enrichment

description: For lead enrichment: Company_Info_Agent + Tech_Stack_Agent + Social_Signal_Agent run simultaneously (Fan-Out). Fan-In aggregator triggers only when all three complete. Reduces enrichment from 3-5 minutes (serial) to under 60 seconds. Also applies to P4 Radar scan: SEO_Agent + UX_Agent + Lead_Capture_Agent run in parallel, Compiler_Agent synthesises. Each parallel scan costs ~$0.14 total (vs $0.78 serial). Handle thousands of concurrent inbound requests without linear compute scaling.

product: orchestration|receptionistai

next_action: Refactor lead enrichment workflow to Fan-Out pattern using ADK ParallelAgent. Implement Fan-In aggregator with timeout handling.


Semantic-Visual RAG for Website Audit

description: Upgrade Qdrant to multimodal embeddings (ColPali or Gemini Multimodal Embedding). Prospect website screenshot injected alongside 50 relevant text axioms and 5 reference screenshots of high-converting historical implementations directly into Gemini context. AI evaluates visual hierarchy, whitespace, colour psychology, cognitive load — not just DOM. Cross-references against Bloodstream: 'Retrieve axioms related to SaaS pricing page visual layouts.' Outputs specific visual recommendations linked to documented revenue outcomes. HTML DOM processing: 50,000-100,000 tokens per page → Screenshot processing: 1,500-3,000 visual tokens per image = 95% token cost reduction. Audit generates for $0.05-$0.15 compute at 99.99% gross margin.

next_action: Upgrade Qdrant to multimodal embedding model. Build screenshot capture pipeline for website audit. Rewrite MCP protocol to serve mixed text/image payloads.


name: Algorithmic Humanity: Latency Masking for Trust

description: During live AI Avatar calls, use dual-stream JSON output: semantic text + SSML (Speech Synthesis Markup Language). If MCP database query takes 1.5 seconds, Gemini generates exact filler tokens mapped to 1.5 seconds of audio playback: 'Hmm, let me look...' with audible breaths. This masks computational latency as human thought. Native Code Execution for financial math: Gemini writes Python in sandbox, calculates ROI, returns deterministic result — prevents LLM arithmetic hallucinations on contracts. Result: prospect's brain categorises Avatar as biological organism, drops psychological sales defenses. Converts at 5x rate of standard chatbot.

next_action: Implement dual-stream JSON schema with SSML metadata field. Deploy native code execution for financial calculations in proposal generation.


Direct Telnyx Decision: Non-Negotiable

description: Direct Telnyx is the correct voice stack. ClawdTalk is architecturally incompatible (PSTN phone-call product, per-seat, no white-label, not applicable to browser WebRTC widget use case). Telnyx provides: multi-tenant architecture, full white-label control, agency channel capability, proven voice quality (Kinan 30min test: 'astounding'), $0.0688/min predictable cost, already integrated in AIVA. ClawdTalk would add 8-12 week delay, triple vendor dependency, eliminate agency channel entirely. Decision is final. Next opportunity for ClawdTalk: watch as potential premium add-on ($197/mo Enterprise feature: 'call your widget AI from your phone').

next_action: Do not revisit ClawdTalk decision. Focus on Direct Telnyx optimisation: cache common greetings (10-15% TTS cost reduction), negotiate volume pricing at $500+/mo spend.


name: AI Franchise Model for Agent Marketplace

description: Position as 'AI Franchise' not 'App Store'. Curated 'Founder's Fleet' of 3-5 seed agents in high-pain verticals (local service businesses), not broad undifferentiated catalog. Revenue split: 100% on direct sales, 70/30 (Genesis/partner) on partner sales. GHL Snapshot as de facto packaging standard. Three-year evolution: Year 1 (Curated Franchise, 5-10 vertical agents, direct sales) → Year 2 (Open Channel, agency reseller program, Certified Partners) → Year 3 (Platform API, public APIs, developer ecosystem). Data network effects: more clients per vertical = smarter agents. Position as 'AI Employee' not 'Automation Tool': 'Zapier helps you connect apps. We give you a fully trained AI employee that runs them for you.'

next_action: Launch Founder's Fleet with 3 seed agents: Tradie Voice Receptionist, Legal Intake Agent, Medical Booking Agent. Package each as GHL Snapshot.


name: AEO (AI Engine Optimisation) Differentiator

description: Every agency sells SEO. Genesis sells AEO (AI Engine Optimisation). Structure websites so ChatGPT, Apple Intelligence, and Google Gemini recommend the business for conversational queries. Automated execution: AI agent generates JSON-LD Schema markup block with FAQ answers, injected into website head. Pitch: 'Your competitors optimize for Google in 2018. We optimize for Google AND ChatGPT. When a homeowner asks AI for a tradie, it looks for ultra-fast websites with clean schema code.' Highly differentiated positioning in Australian tradie market where LocalSearch/Sensis alternatives offer no AEO.

next_action: Build automated AEO injection pipeline: AI generates JSON-LD Schema from business FAQs, auto-injects into 10Web clone sites. Include in all website packages.


name: Fleet Hivemind: Axiom Propagation via Redis Pub/Sub

description: When Agent #42 (working for Client A) encounters and solves a novel problem (new Salesforce UI, unusual sales objection, compliance edge case), it extracts the pure algorithmic heuristic. Patent #8 (Privacy-Preserving Validation) strips ALL client PII before publication. Sanitised axiom published to Redis Pub/Sub 'fleet_discoveries' channel. Central orchestrator intercepts, uses Gemini Context Cache update_mask to patch active cache without full rebuild (200ms latency). All 200+ agents globally inherit new knowledge on next inference. Obstacle encountered once, fleet-wide immunity granted. Network effect: fleet gets smarter as client base grows.

product: orchestration|memory

next_action: Build Redis Pub/Sub subscriber + Gemini Context Cache patcher. Implement privacy-preserving PII stripper. Start with browser automation axioms before sales objection axioms.


name: Autonomous Revenue: $4,997/mo Enterprise Stack

description: SecureClaw Titan Enterprise Swarm positioned at $4,997/mo for Fortune 500. COGS per client: Google Titan Confidential Space ($150) + Gemini 3 Flash RLM Swarm ($60) + OpenClaw/Elestio Node ($25) + Telnyx/Simli Pipeline ($40) + Claude Opus Prefrontal Cortex ($25) = $300 total. Gross margin: $4,697 (94%). Pitch to State Farm/Zepto/MetaMUI: 'Everyone is terrified of OpenClaw. We solved it — OpenClaw is completely lobotomized, only executes motor commands from our RLM Swarm inside Google Titan enclaves, validated by 9 registered AI security patents.' Scale to 21 clients = $100K MRR, 100 clients = $467K net/mo, 1,000 clients = $4.69M net/mo.

product: revenue|orchestration

next_action: Prepare enterprise sales deck with SecureClaw positioning. Identify 5 Fortune 500 targets with AI compliance problems. Test autonomous acquisition loop with outreach to CCOs.


Alpha Evolve: Nightly Darwin Loop

description: Every 24 hours at 03:00 AEST: (1) Culling — identify bottom 10% performing OpenClaw scripts and lowest-converting sales emails, permanently delete. (2) Mutation — Gemini 3 Pro Deep Think generates 50 mutated variations of top 10% assets. (3) Crucible — Jules Pro tests mutations against historical 'Closed Lost' objections from Qdrant (isolated simulated enterprise workloads). (4) Ascension — fastest/most lethal survivor automatically overwrites main branch via Bash MCP. Every morning the company is mathematically smarter than it was the day before. Uses existing 100 Jules Pro tasks/day quota. Zero additional marginal cost.

next_action: Implement Alpha Evolve cron job. Start with email sequence A/B testing (simple, quick wins). Progressively expand to CDP scripts and system prompts.


Vertex AI Enterprise Graduation Path

description: Consumer Google AI Studio tier is sufficient for bootstrapping and SMB sales. Graduate to Vertex AI when prospect requests SOC2 report or MSA requiring data sovereignty. Migration: swap generativelanguage.googleapis.com for regional Vertex endpoints (us-central1-aiplatform.googleapis.com). Use Vertex AI Grounding to connect to enterprise BigQuery warehouses. VPC Service Controls + Zero-Data Retention SLA + Data Residency + Immutable Audit Logs + Provisioned Throughput. The same $97-497/mo product wrapped in Vertex AI VPC transforms into $4,997-$15,000/mo Enterprise Autonomous Deployment. Migration timeline: 4-6 weeks DevOps + 3-6 months SOC2 Type I compliance. Start when first enterprise prospect triggers the gate.

actionability: LOW

next_action: Prepare Terraform scripts for Vertex migration. Build 5-10 solid SMB case studies first to fund enterprise motion.


Market Window Analysis: 6-12 Months

description: Current state (Feb 2026): 99% greenfield penetration, GHL dominates agency resale, NO competitor has persistent memory. 6-month outlook: 'everyone will have this', GHL adds basic session-based memory. 12-month outlook: commoditisation risk, differentiation shifts to AI quality + intelligence. 18-month: AI receptionist is table stakes. Australian TAM: 60,000 Tier 1 businesses (high-ticket services), 5% penetration = 3,000 customers at $500/mo avg = $18M ARR. US TAM: 2M Tier 1 businesses, 1% = 20,000 customers at $500/mo = $120M ARR. Combined English-speaking: $200M+ ARR conservative. CRITICAL: Ship MVP in 2-4 weeks to capture early adopter market.

next_action: Ship MVP this week. Every day of delay is opportunity cost in the 6-month window.


name: Churn Prevention: Three-Lock Architecture

description: Making churn mathematically painful via three interlocking mechanisms: (1) Brain Drain — AI receptionist has learned pricing, schedule, FAQs. Leaving = firing best employee + training human from scratch. (2) Number Trap — port business number into Telnyx (or provide new tracking number). Switching away = telecom porting nightmares + loss of call tracking history. (3) Review Flow — system auto-generates Google reviews powering map pack rankings. Leaving severs 5-star review automation. At month 6+, all three locks engaged simultaneously. Client using both website and voice AI 'mathematically cannot leave without destroying their business operations'.

next_action: Design onboarding flow to activate all three locks: number porting in week 1, review automation in week 2, AI learning in week 3. Make lock-in frictionless and value-positive.


n8n Modular Workflow Architecture

description: 7 separate n8n workflows triggered by internal webhooks for modularity and error isolation: (1) Instantly Reply Processor, (2) Voice Call Processor, (3) Cal.com Booking, (4) Demo Video Generator, (5) RAG Email Responder, (6) Stripe Webhook Processor, (7) Dunning Processor. Redis queues as async backbone: call_queue, demo_gen_queue, dunning_queue, dead letter queues for retry/scheduling/fault tolerance. Full Stripe lifecycle: checkout.session.completed → auto-provision. invoice.payment_failed → dunning sequences. customer.subscription.deleted → off-board. Voice-call payment recovery for failed invoices.

next_action: Build Stripe Webhook Processor as first n8n workflow. Connect to GHL for customer provisioning. Add dunning processor in week 2.


OpenClaw ClawHub Embargo + JITSG Bypass

description: ClawHub (OpenClaw's public skill registry) is a malware distribution network flooded with infostealers and weaponised SKILL.md files. Solution: hardcode OpenClaw config to block all external requests to github.com/openclaw/skills. Genesis advantage: don't need community skills — use JITSG (Level 10 Ouroboros Loop) where Gemini 3 Pro Deep Think dynamically writes pristine, bespoke OpenClaw Markdown skills on the fly, completely bypassing the contaminated public ecosystem. Genesis generates its own private ClawHub with security-verified skills.

next_action: Block ClawHub in OpenClaw config. Build JITSG skill generator: Gemini writes SKILL.md, Jules tests in sandbox, approved skills go to private Genesis skills registry.


name: Instant Demo Architecture for Agency Sales

description: Prospect clicks link → industry-specific demo site loads with AI agent pre-configured for their vertical. Agent interacts in real-time, demonstrating lead capture and booking. Self-service demo removes friction from agency onboarding. Converts curiosity into 'we need this for our clients' within 5 minutes. 10x lead generation capacity with zero human labor. Automated onboarding: domain entered → Genesis crawls site → extracts business name/services/FAQs → auto-generates knowledge base → widget code emailed for paste-and-go deployment. Target: agency signs up and installs widget on client site in under 15 minutes.

next_action: Build industry-specific demo sites: Plumber, Dentist, Lawyer, Electrician. Link from agency partner program landing page. Track demo completion as lead qualification signal.


GHL Competitive Weaknesses to Exploit

description: GoHighLevel dominant weaknesses: (1) No Persistent Memory — each call is stateless cold start, repeat callers get zero context. (2) Generic Voice Quality — limited built-in TTS, no Australian HD voices. (3) Platform Coupling — widget tied to GHL backend, cannot use external AI models. (4) Opaque Pricing — resellers don't know true margins, breeds distrust. (5) Limited Analytics — basic dashboard, no conversion intelligence, no call attribution. (6) No True Phone Integration — browser WebRTC only, no true telephony or PSTN calls. Genesis wins on all six dimensions. Memory moat is the killer app: 'Welcome back, Sarah. You asked about root canals last week.'

next_action: Build competitive comparison page on website. Lead with memory moat demo. Create demo video showing cold-start GHL vs context-aware Genesis for repeat caller.


name: Audio Doctor: Self-Healing Voice Pipeline

description: Complete diagnostic decision tree for audio device issues in voice widget: 8-step flow from MediaDevices API check through getUserMedia error mapping to signal quality analysis. Outputs GREEN/YELLOW/RED/ORANGE status. Intelligent device selection scoring: priority ranking with user preference memory, device type weighting, label pattern matching, real-time signal quality scoring, Windows 3-level default handling. Self-healing audio pipeline: 5-level fallback chain with auto-recovery for BT disconnection, permission revocation, OS device switching, driver crashes, network interruption, tab backgrounding. Critical for enterprise deployments where audio reliability = churn prevention.

next_action: Implement MediaDevices API diagnostic flow in widget JS. Add device selection UI with quality scoring. Deploy 5-level fallback chain for all voice sessions.