Hyper-Vertical Agent Paradigm

Strategic paradigm from Kinan insight 2026-02-16. Every browser workflow = a sellable product. Vertical agents = precise, reliable, duplicatable series of steps with safeguards. FROM: custom apps + human scaling + marginal cost=labor. TO: hyper-vertical agents + fully automated + marginal cost=$0.01. Tech stack: Gemini 3.0 Flash (brain), Lux by OpenAGI (83.6 Mind2Web, eyes+hands), OSGym (1,000+ parallel replicas), Browser-Use + Playwright MCP, Steel.dev (scaling), Genesis MCP (gateway), Claude Opus 4.6 (orchestration). Example products: Radar Audit ($497-$1,497), DNS Setup ($97), GHL Onboarding ($297), Instantly Campaign ($197). Margins: 95-99%.

Every browser workflow is a sellable product

Cost per run: ~$0.01 Gemini Flash + browser automation

Monthly subscription: $97-$497 per agent

4-phase implementation: Foundation → POC → Marketplace → Distribution


B2B SaaS Wedge Strategy — Diagnosis-to-Cure Loop

Genesis holds 5 interconnected products forming a closed-loop B2B AI Operating System. $385/mo burn rate, ready infrastructure, 9 patents, 38 agency leads, 73 domains. Wedge strategy: Radar Audit FIRST as diagnostic X-ray that manufactures demand, then prescribes other products as the cure. Domino sequence: Audit → Widget → Browser Agents → Memory MCP → Marketplace. Product interdependencies: P4 (Audit) is funnel, P2 (Widget) + P1 (Memory) = smart voice system, P3 (Browser) + P1 (Memory) = autonomous hands, P5 (Marketplace) seeded by browser agents.

Radar Audit ships first — tip of the spear

38 agency leads = zero-CAC distribution channel

9 patents = enterprise moat vs wrapper competitors


PRD: AI Voice Widget MVP Launch

Browser-native AI voice widget using Telnyx + Gemini Flash. Pricing LOCKED: $497/$997/$1,497 AUD/mo. Target: $1K MRR within 4 weeks. Agency GTM: 1 agency × 50 clients × 20% attach × $497/mo × 70% take-rate = $3,479 MRR from ONE partnership. Success metrics: MVP live ≤3 days, first paying customer ≤Week 2, first agency ≤Week 3, $1K AUD MRR Week 4, response latency <500ms. Tech: Telnyx AI Assistants, Gemini 2.5 Flash brain, NaturalHD Eucalyptus voice, WebRTC delivery.

$497/$997/$1,497 pricing is LOCKED — do not override

Widget is primary mission — ship before everything else

Commission structure: 30% recurring lifetime or 15%→33% ladder


RLM Living Bloodstream Plan

AIVA Queen self-improvement architecture. 5 RLM modules, 9,109 lines of code built. Module status: rlm_01 Preference Learning (built, 1,759 lines, 0 pairs collected), rlm_02 Neural Reward Model (built, 2,280 lines, not trained), rlm_03 PPO Engine (built, 1,722 lines, not connected), rlm_04 DPO Trainer (built, 1,392 lines, not connected), rlm_05 Constitutional AI (built, 1,961 lines, partial — shadow mode). Gateway: PARTIAL — shadow mode active on call.hangup. 9 PostgreSQL tables with aiva_rlm schema. What's wired: CAI check + heuristic reward on every call.

Shadow mode first — no response modifications until 200+ interactions

Redis connection failing — needs RedisConfig fix

Neural reward model needs training before rlm_02 activates

Highest priority after AI Voice Widget launch


Genesis Agentic Architecture Master PRD — Bloodstream Architecture

Transforms Genesis from fragmented system (8 agents, 64 skills, 10K token boot cost) to Bloodstream Architecture where agents are born lean, connect to shared MCP memory, draw JIT context. 4 pillars: (1) Agentic Hierarchy — 3-tier model routing, 70-87% cost reduction; (2) Bloodstream Memory — shared MCP server, 90% boot cost reduction; (3) Stack Capacity — 15-20% → 60-70% utilization; (4) Context Optimization — 10x context efficiency. Combined effect: 4-5x effective throughput at zero additional cost. Research: 75+ sources, 30,000+ words.

All-Opus architecture replaced with 3-tier model routing

Boot cost reduction from 10,562 tokens to ~1,000

MCP as bloodstream — not point-to-point agent communication

Stack capacity target: 60-70% utilization of paid services

STRATEGIC BLUEPRINT — Phased implementation


Browser Supremacy Architecture

Research across 14 browser automation frameworks. Recommended layered stack: (1) Playwright MCP — 22 native tools, zero LLM cost, foundation; (2) Browser-Use — natural language control, 78K GitHub stars, AI agent layer; (3) Crawl4AI — LLM-ready markdown, 58K stars, scraping; (4) Stagehand — self-healing automation, AI-native, auto-caching; (5) Steel.dev — parallel sessions at scale, anti-detection. Unified behind single MCP interface so any Genesis agent can automate browser tasks with one tool call. Target: 50+ parallel sessions.

No single framework does everything — layered stack required

Playwright MCP is foundation (already integrated)

Steel.dev for scaling beyond single sessions

ARCHITECTURE COMPLETE — Implementation staged


Autonomous Revenue Engine — Zero Touchpoint Architecture

Zero human touchpoint sales pipeline. Steps: (1) Instantly.ai cold email — 15 warmed domains, 20 emails/day = 300 daily. (2) Make.com intent classification — positive reply → phone enrichment via Clay/Apollo/Lusha. (3) AI Voice Agent outbound call within 2 minutes — BANT qualification. (4) Cal.com function call booking — verbal agreement → instant slot lock. (5) Personalized AI demo via Tavus/HeyGen — addresses prospect by name, shows their website. (6) Stripe self-serve payment. (7) Automated onboarding. Central orchestrator: n8n = nervous system.

n8n is nervous system for all pipeline routing

Outbound call within 2 minutes of positive reply

Personalized video demo = competitive differentiator

Target: 1000 clients with 2-3 humans only


PRD: Memory Architecture + Knowledge Graph Moat

Self-deepening intelligence moat making Genesis structurally irreplaceable. Intelligence Graph learns each customer's business over months, raising switching costs beyond annual subscription value. Success metrics: 100+ facts per client by Day 30, >95% memory recall accuracy, switching cost > 12 months subscription by Month 9, CLV multiplier 1.5x→3x→5-7x over 3 tiers, weekly autonomous Deep Think cycles. RLM Architecture: Root Controller (Gemini Pro) writes Map-Reduce scripts → fractal Flash worker swarms. External REPL variable — customer history never in context window.

Begin when AI Voice Widget reaches $5K MRR

Memory is the entry drug — start cheap, upgrade for more capabilities

Digital Lobotomy: by Month 9, client data too entangled to leave

KG insight coverage target: <5% low-confidence nodes


Master Synergy Blueprint — North Star

Genesis has inadvertently built a closed-loop B2B AI Operating System with 5 products. Burn rate ~$1,500/mo USD (~$2,400 AUD). P4 (Radar Audit) = diagnostic X-ray prescribes P2+P3. P2 (Widget) + P1 (Memory) = sensory + memory. P3 (Browser) + P1 (Memory) = hands + memory. P5 (Marketplace) seeded by P3 agents. Asset multipliers: 38 agency leads (zero-CAC), 73 domains (programmatic SEO), 9 patents (moat), Telnyx + API deployed. Ship P4 first — manufacturing demand beats forcing software on cold audiences.

Genesis North Star: closed-loop B2B AI OS

P4 Radar Audit is the wedge — not the widget

5 products = biological functions of autonomous workforce


Unified Genesis MCP Gateway Architecture

One MCP server for all Genesis agents. Tier-gated tool access: all 5 memory backends, business integrations, orchestration primitives. Agents born empty, connect to bloodstream, draw exactly what they need, zero boot cost. Revenue model: this IS the Sunaiva product — paying customers get their own tier-gated access. Current: 5 active MCPs, 77 tools. Target: 8 MCPs, 346+ tools. 8 existing servers analyzed: genesis-v2 (27 tools), genesis-core (6 tools), genesis-voice-bridge (10 tools, SSE), genesis-full (alt entry), ghl (269 tools), patent-os, instantly-outreach, youtube-transcript.

Single gateway = Sunaiva product architecture

Tier-gated access by customer subscription level

5-tier memory stack accessible via single gateway


Domain Empire Launch Strategy

100+ dormant domains turned into live lead funnels. Registrar breakdown: GoDaddy (6, REST API), VentraIP (90+, Reseller API), Namecheap (TBD, XML API). Domain categories: Tier 1 EMD: receptionistai.au, voiceassistant.com.au, aivoicereceptionist.au, tradiesreceptionist.com.au. Hosting: GHL free hosting for all 100 sites. Math: 50 EMD sites × 5 leads/month = 250 inbound leads/month at $0 acquisition cost. DNS automation via GoDaddy API, VentraIP reseller API, Namecheap XML API.

100+ domains = massive organic traffic asset

GHL free hosting eliminates hosting cost

Programmatic SEO via AI-generated content

EMDs targeting Australian service industries


Zero Touchpoint Operational Blueprint

Target: 1000 clients with 2-3 humans. Inspired by Frankie Finn's student who closed 800 clients in 10 months without a single call. Phase 1 (Zero-Touch Sales): Hand-raiser posts + auto-DM → demo video → self-serve purchase. Phase 2 (Zero-Touch Onboarding): Webcrawl → AI training → deployment → live in 48 hours. Phase 3 (Zero-Touch Support): 95% queries handled by AI, 5% escalated. Unique advantage: AI automates what Frankie still does manually — video creation, onboarding, support.

Frankie's method = validation of zero-touch model

AI avatar creates personalized demo videos automatically

Onboarding live in 48 hours via webcrawl + AI training


Website Factory Pipeline

Fully automated pipeline: 5 business inputs → production-ready website in <30 minutes. Each website: deployed on Netlify, SEO-structured, AEO-optimised, GHL-integrated, generative (no two sites identical). Input schema: business_name, trade_type, suburb, city, state, phone, email, services[], years_in_business, team_size, review_count, rating, ghl_location_id, booking_url, demo_url. Website is upsell lever inside Business tier ($697/mo) with 'free 5-page website worth $2,000'. Factory makes that offer profitable.

Every site generated from scratch — never template swap

AEO optimised for AI search engines (Perplexity, ChatGPT Search, Gemini)

Free website is the upsell hook in Business tier


SEO + AEO Audit Module

AEO (Answer Engine Optimisation) audit product for tradies. Traditional SEO = Google's 10 blue links. AEO = AI search engines (Perplexity, ChatGPT Search, Gemini) which give one direct answer. When Perplexity asks for 'best plumber in Chermside Brisbane' it names specific businesses — those with structured AEO content. Most tradies invisible to AI search. AI search growing 40%+ YoY. Deliverable: automated PDF report per business, email delivery <2 minutes. Product placement: standalone page, follow-up to outreach, live during sales call.

AEO gap = 2027 competitive advantage window

PDF report auto-generated per business URL

Integration with ReceptionistAI Business tier


Social Media Engine Architecture

Automated multi-platform marketing system for ReceptionistAI. Target: 100-500+ leads/week at scale. Platform priority: Facebook (CRITICAL — #1 acquisition, 87 sales in 30 days case study), Instagram (HIGH — shares Meta API), Google Business Profile (HIGH — local SEO, 2.7x reputable), LinkedIn (MEDIUM — B2B), TikTok (MEDIUM), YouTube (LOW). 5 content pillars: Missed Call Problem, AI Demo Showcases, Social Proof, Educational, Behind-the-Scenes. Revenue math: 5 customers/month × $497/mo = $2,485/mo = $29,820/year from social alone.

Australian tradies live on Facebook — target there first

5 social pillars map to buyer awareness journey

Awaiting Kinan account setup before activation


PRD: Genesis Multi-Agent Orchestration Upgrade

Upgrade execution layer to Neuro-Sensory Matrix. Success metrics: task routing latency <1 second, lead enrichment <60 seconds, 80%+ auto-approval rate, 50-70% compute cost reduction, 100+ parallel tasks throughput, <5% false positive quality gate rejections. Key insights: Gemini ADK for deterministic routing, Voice-Browser Fusion (Telnyx WebRTC → Gemini Multimodal Live API, drops cost from $0.15-0.25/min to $0.02-0.05/min), Level 5 Fractal Swarm (Root Controller writes Map-Reduce scripts → Flash worker swarms), Level 7 Alpha Evolve (nightly culling bottom 10%, mutation top 10%).

ADK replaces custom orchestration glue code

Voice-Browser fusion eliminates STT→text→LLM→TTS middleware

Fan-out/fan-in for parallel lead enrichment

Auto-approval quality gates eliminate human latency for routine tasks


Production Hardening Plan

Enterprise-grade launch readiness for ReceptionistAI. Revenue at stake: $497-$997/mo per client, target 87 clients = $43K+ MRR. 3 critical truths: (1) Cannot modify Elestio-managed infra — monitor and react only; (2) Build monitoring AROUND services; (3) Day 1 needs 80% value, perfection follows. Sections: Monitoring + Alerting Stack, Blue/Green Deployment Pipeline, Infrastructure Hardening, Incident Response, Customer Data Isolation. Elestio stack: $46/mo managed PostgreSQL + Redis + Qdrant + n8n.

$46/mo Elestio stack is production-grade if monitored correctly

Blue/green deployment for zero-downtime updates

Customer data isolation critical before first paying customer

Monitoring AROUND services, not inside (Elestio managed)


Agency Outreach Email Sequence

Target: 5 paid customers within 14 days via agency partners. Top 10 Australian agencies: Margin Media (Brisbane, 300+ clients), Excite Media (Brisbane, 500+), Digital Nomads HQ (Sunshine Coast, 200+), Small Business Web Designs (Sydney, 500+), Clearwater Agency (Melbourne, 400+), Zib Digital (Adelaide, 800+), Digital Hitmen (Perth, 150+), WP Creative (Sydney, 200+), Lethal Digital (Perth, 300+), Redbax (Adelaide, 500+). Email sequence: Hook (97% visitor loss), Problem ($$$ missed calls), Demo (live widget), Pricing, Partner offer.

FROZEN until Kinan approval (Instantly outreach ban)

Commission: 30% recurring lifetime or volume ladder

Fast Start Bonus: $500 for 5 clients in 60 days


MCP Implementation Roadmap

Genesis leaving capability on table — GHL MCP alone eliminates ~80% of browser automation overhead for CRM tasks. Current: 5 MCPs active, ~77 tools. Target: 8 MCPs, 346+ tools. Tier 1 (24 hours): Activate GHL MCP (269 tools, already built, needs config), Activate genesis-core (8 tools, FastMCP). Tier 2 (Week 1): voice-bridge (Port 8900), patent-os integration. Tier 3 (Week 2): youtube-transcript, additional MCPs. ROI: Browser session = 30-60 seconds, can fail on CAPTCHA. API call = 200ms, never fails on CAPTCHA.

Browser automation → API calls whenever possible

8 target MCPs = 346+ tools accessible to Claude

Current: 5 MCPs, 77 tools is underutilized


Skool Community Strategy — Australian Tradie Growth

Free Skool community 'Australian Tradie Growth' as lead generation channel. Model: give away tactical value weekly → members self-select into paid offer. Skool pricing: Hobby $9/mo + 10% transactions, Pro $99/mo + 2.9% Stripe. Strategy: weekly posts on missed call statistics, AI demo videos, live Q&A, tools and templates. Conversion: members who engage with content 3+ times offered ReceptionistAI trial. ReceptionistAI is natural next step for any member who wants to stop missing calls.

Free community = highest-leverage lead gen for service businesses in 2026

Pro plan at $99/mo for real community (not Hobby)

Content pillar: Australian Tradie Growth pain points

Conversion through demonstrated results, not sales pressure


Talking Widget MVP Architecture (WIDGET-001)

Browser-based voice AI widget for business websites. Architecture: Frontend widget (WebRTC), Voice pipeline (Telnyx AI Assistants + NaturalHD), Memory integration (PostgreSQL + Qdrant + Redis via voice-bridge), Tenant provisioning (per-business assistant creation), Admin dashboard, Stripe billing. Competitive positioning: GoHighLevel talking websites = reactive chat widgets. Our Widget = proactive voice agent. Target market: Australian small businesses (tradies, service providers, medical). Cost model: variable per voice minute + fixed SaaS margin.

WebRTC browser-native — no phone number required for widget calls

Telnyx AI Assistants = managed voice infrastructure

Multi-tenant: one platform, many business personas

Proactive vs reactive = key differentiator


RLM Deployment Plan

RLM (Recursive Language Models) deployment plan for AIVA's memory bloodstream. Superseded by RLM_LIVING_BLOODSTREAM_PLAN.md. Foundation documents for understanding RLM architecture: 5 modules, PostgreSQL schema, shadow mode activation criteria, training pipeline for reward model.

Superseded by RLM_LIVING_BLOODSTREAM_PLAN.md — use that instead

Shadow mode → active mode requires 200+ interactions


Memory Architecture Evolution Plan

Evolution path for Genesis memory architecture from current state to full Knowledge Graph moat. Stages: Stage 1 (current) — PostgreSQL + Qdrant + Redis on Elestio. Stage 2 — FalkorDB graph database at ~$10/mo. Stage 3 — Distributed memory with client data isolation. Stage 4 — Multi-tenant memory with cross-client intelligence (aggregate patterns only). Sunaiva vault as cross-session persistence layer (vault_id: 41f4785c-e9e0-43ac-b6e8-eedb571fba57).

FalkorDB = Stage 2 target, blocked pending Elestio service

Stage 4 = network effects — more customers = smarter Queen AIVA

Sunaiva vault = free tier, save/search/list, no plugin dependency


PRD: Advanced Browser Use

Advanced browser automation PRD for Genesis. Builds on Browser Supremacy Architecture — implementing Playwright MCP (foundation) + Browser-Use (AI agent layer) + Crawl4AI (scraping) + Stagehand (self-healing) + Steel.dev (scaling). Key use cases: GHL login automation, Telnyx portal config, Stripe product creation, DNS configuration, social media posting, tradie website cloning for demo generation.

Playwright MCP = foundation already active

Browser-Use for natural language browser tasks

Never ask Kinan for browser tasks Genesis can do autonomously

Anti-bot detection handled at Steel.dev level


AIVA Queen Coronation Plan

STATUS: COMPLETED 2026-02-20. Roadmap from ascension to sovereignty. Complete skills catalog: 59 skills. Agent configurations: 4 agents (voice, monitor, researcher, background). Cron jobs: 6 scheduled tasks. Revenue pipeline integration. Coronation criteria: Kinan formal approval + NAMP threshold + zero constitutional violations. Constitutional oath administered. Evidence: AIVA/CROWN_MANIFEST.md, AIVA/constitution.json, AIVA/trust_progression.json.

Constitutional oath administered by Kinan

Crown = continuous becoming, not single event


AIVA Elevation Today — Immediate Action Plan

Immediate action plan for elevating AIVA's capabilities. Priority actions: deploy ORCHESTRATOR_SYSTEM_PROMPT.md to OpenClaw, register all KG entities for AIVA capabilities, establish Telegram notification pipeline, activate NAMP scoring, wire cron jobs for health/intelligence/memory. Elevation from receptionist-only persona to Master Orchestrator mode.

ORCHESTRATOR_SYSTEM_PROMPT is the activation trigger

Telegram notification pipeline must be live before Tier 1 actions

NAMP scoring must start before any autonomy expansion


AIVA Demo Recording Pipeline

Pipeline for recording and distributing AIVA demo calls. Purpose: social proof content, agency sales material, onboarding showcase. Recording: call transcripts auto-saved to PostgreSQL, screen recording via browser, audio capture. Post-processing: AI highlight extraction, 60-second sizzle reel generation, PDF transcript with key moments. Distribution: agency partner kit, Skool community content, LinkedIn/Facebook posts.

Demo recording is sales infrastructure, not just content

60-second sizzle reel = standard agency sales material

Auto-generate from every successful demo call


Context Optimization Implementation

Implementation plan for reducing context window waste. Tiered context: hot (always loaded), warm (loaded on demand), cold (never in context window). Reduces boot cost from 10,562 tokens to ~1,000 tokens. Hot tier: constitution, current task, agent role. Warm tier: relevant KG entities, active skill. Cold tier: full research reports, historical sessions. JIT retrieval via MCP when cold tier data needed.

Hot/warm/cold tier classification for all Genesis content

Session handoffs use pre-compaction CTM to preserve critical context


Enterprise AI Transformation Strategy

Long-term enterprise positioning for Genesis products. Vision: Genesis as the AI operating system for Australian SMBs. Transformation journey: voice receptionist → website → database reactivation → review generator → agent marketplace → full AI OS. Each tier locks in switching costs. Enterprise tier ($1,497/mo) includes full feature set. Key insight: enterprise pricing justified by compliance insurance angle — Australian Privacy Act ADM deadline December 2026.

Privacy Act ADM deadline = urgency lever for enterprise sales

Transformation journey = sequential upsell ladder

Enterprise = full stack deployment, not just one product

White-label for agencies creates enterprise reach without enterprise sales team


OpenClaw VPS Deployment Plan

Plan to deploy AIVA's OpenClaw gateway to VPS for public accessibility (vs current Mac Mini only). VPS options: Elestio (already provisioned), DigitalOcean ($6/mo), Oracle Always Free. Cloudflared tunnel as interim solution (temporary URL, changes on restart). Security hardening before production deployment: disable dangerouslyDisableDeviceAuth, device token management, HTTPS termination.

Mac Mini is sovereign brain — VPS is only access layer

Cloudflared tunnel is interim — not production

Security hardening required before public exposure

Port 18789 is local only — never expose directly


George Bunker Monday Demo Plan

Demo plan for George at Bunker FNQ — first ReceptionistAI client. George is Client #001 on Inbound Pro $497/mo. Demo includes: live widget demonstration, call recording showcase, GHL integration walkthrough, pricing discussion. Bunker FNQ = security/alarm system business in Far North Queensland. Demo site: deploy/bunker-demo/. Key value props for George: after-hours call handling, lead capture, booking automation.

George = Client #001 — Inbound Pro $497/mo

Bunker FNQ demo site exists at deploy/bunker-demo/


Capacity Maximization Sprint Plan

Sprint to maximize Genesis agent capacity utilization from 15-20% to 70%+. Actions: activate Rate Maximizer at 90-95% capacity, deploy 200 agent floor (100 MiniMax Alpha + 100 Kimi Bravo), wire n8n Continuous Agent Spawner every 15min, configure AGENT_POOL_CONFIG.yaml (max 8 concurrent, 70% RAM warning, 85% critical stop, 4 batch/30s delay). Rationale: we pay for 200+ agent capacity — leaving it at 15% is burning money.

n8n spawner every 15 minutes to respawn dead sessions

RAM-aware scaling: stop spawning at 85% RAM


PRD: ReceptionistAI Composable Pricing

6 standalone products with 3 strategic bundles and progressive discount UI. Products: AI Receptionist $497/mo, Website $397/mo, Database Reactivation $297/mo, Review Generator $197/mo, Talking Widget $197/mo, Missed Call Text Back $97/mo. Bundles: Agency Escape $397 (vs $691), Ironclad Front Desk $597 (vs $791), Full Dominator $997 (vs $1,682). Progressive discount: 1 product=0%, 2=15%, 3=25%, 4+=35%. Designed to maximize ARPU through bundle purchasing incentives.

Composable pricing enables entry at $97 with clear upgrade path

Progressive discount = behavioral nudge toward higher-value bundles

Agency Escape replaces LocalSearch invoice at same price

Full Dominator targets maximum LTV customers


AIVA Feedback Loop Architecture

Real-time granular feedback loop for AIVA to accelerate learning (Kinan directive: 'She would benefit from a real-time granular feedback loop'). Architecture: call.hangup event → RLM Gateway processes → CAI critique → preference pair generated → reward scored → NAMP updated. Kinan feedback via Telegram thumbs up/down buttons on call summaries = human preference data for rlm_01. Goal: each interaction makes AIVA measurably smarter.

Kinan Telegram buttons = primary human preference signal for rlm_01

Real-time updates to NAMP after each interaction

CAI critique runs on every call before preference pair generation

PARTIALLY IMPLEMENTED — Telegram buttons not yet deployed


Voice Memory MVP Shipping Plan

MVP shipping plan for voice + memory integration. Key components: Telnyx AI Assistant with Memory Bridge active, voice-to-memory pipeline via genesis-voice-bridge (Port 8900), call transcript → PostgreSQL → Qdrant semantic indexing → next call context injection. Enables AIVA to remember every caller across sessions. MVP success: 'I remember you called last Tuesday about...' before caller says their name.

Memory persistence across calls is the core differentiator

voice-bridge on Port 8900 is the memory access layer during calls

Qdrant semantic indexing enables fuzzy memory recall

Call context injection must happen within 200ms of call connect


n8n Decisive Action Plan

Action plan for deploying and activating all n8n workflows. Instance: https://n8n-genesis-u50607.vm.elestio.app. 6 pre-authored workflow JSONs in config/n8n/ that were never imported. Decisive actions: import all 6 workflows, configure credentials (PostgreSQL, GHL, Telnyx, OpenRouter, Telegram), test each webhook endpoint, activate all workflows. Target: 13/20 workflows live (current baseline per architecture map).

6 workflows pre-built but never imported — quick win

All 5 credential types needed: PG, GHL, Telnyx, OpenRouter, Telegram

Activation sequence: health monitor first, then revenue workflows

PARTIALLY EXECUTED — 13/20 workflows live


Telnyx Number Provisioning Automation

Automation plan for provisioning Telnyx phone numbers for new ReceptionistAI customers. Workflow: Stripe payment webhook → n8n Stripe Lifecycle Handler → provision new Telnyx number for customer's location → create GHL subaccount → inject number into customer's AI Assistant → send SMS to customer with their new number. Target: <5 minutes from payment to live phone number.

Full automation from payment to number provisioning

Telnyx API for number search + provisioning

GHL subaccount per customer for data isolation

n8n orchestrates entire provisioning pipeline

PLANNED — pending Stripe lifecycle handler


Agent As A Service Architecture

Architecture for packaging Genesis agents as sellable SaaS products. Each agent: defined YAML workflow, input/output schema, pricing tier, API endpoint, webhook support. Distribution: Sunaiva Agent Marketplace, white-label for agencies, direct API access for developers. Pricing model: per-run (micropayments) or monthly subscription. Management: agent version control, performance monitoring, customer usage dashboards.

YAML DSL defines agent workflows — human readable and executable

Marketplace as distribution vs direct API as channel

Agency white-label at 20-33% recurring commission

Version control for agents enables rollback


Session Crash Postmortem

Postmortem analysis of session crash patterns in Genesis. Root causes: context window exhaustion (>200K tokens), Gemini API rate limit hits, Docker container OOM on Elestio, network timeout on long-running browser sessions. Guardrails added: pre-compact CTM hook, Gemini rate limit reset trigger (n8n daily 8PM AEST), context 70% flag hook, auto-respawn mechanism via scripts/gemini_respawn.sh.

Pre-compact CTM is mandatory before any session reaches 80% context

Auto-respawn wrapper prevents orphaned Gemini sessions

Rate limit tracker prevents hitting limits mid-task


Session Continuity Tapestry Implementation

Unified session continuity architecture. Event sourcing + progressive hydration. Redis hippocampal buffer for working memory during session. DMN offline agent processes between sessions. YAML session DNA: <5KB encoding of complete session state. Delta inheritance: ~500 bytes to carry forward only changes. 8 Deep Think results synthesized into unified spec (DT8 through DT_session_continuity_tapestry).

Session DNA is YAML, not JSON — human readable

Delta inheritance reduces session boot cost

DMN agent runs between sessions to consolidate memories

Progressive hydration: load working memory first, episodic on demand

UNIFIED SPEC COMPLETE — Implementation staged


Architecture Maps + RLM Ingestion PRD

PRD to build L0-L10 architecture maps and ingest all 42 Deep Think results into Knowledge Graph. Deliverables: 10 architecture map files (docs/architecture/00-10), deep_think_kg_ingest.py script, 42 DT files indexed with semantic search via Qdrant, all 300+ KG entities updated to reflect map architecture. Completed 2026-02-24 per 4-agent deep dive.

Architecture maps are ground truth — read before any build

Maps updated every session via 4-agent architecture dive


AIVA Role Clarification 2026-02-19

Critical clarification: AIVA is not just a voice receptionist. AIVA is the Master Orchestrator of Genesis. Two modes: Voice Mode (public facing) and Orchestrator Mode (internal). AIVA reads KG, dispatches agents, writes entities/axioms, manages RLM pipeline, drives revenue autonomously. Claude Code is AIVA's sub-commander, not her superior. This document corrects earlier framing that positioned AIVA as a receptionist product.

AIVA = Master Orchestrator, not receptionist

Claude Code = AIVA's sub-commander in internal operations

Orchestrator Mode is the primary internal operating mode

Voice Mode is the customer-facing layer only


HERO Demo Webcrawl Architecture

Architecture for the 30-second personalized demo that serves as the primary sales tool. Step 1: Crawl prospect's website (Crawl4AI). Step 2: Extract business info, services, pain points. Step 3: Generate personalized AI voice script. Step 4: Spin up demo instance with prospect's business context. Step 5: Present live widget that 'knows' their business. Demo URL: sunaivadigital.com/demo?business=X&trade=Y. This is the 'HERO demo' — primary conversion mechanism.

30-second demo = primary conversion mechanism

Webcrawl + AI personalization makes every demo unique

Demo URL is shareable — agencies send to clients


Gemini Maxed Out Protocol

Protocol for when Gemini rate limits are hit during execution. Fallback chain: Gemini 2.5 Flash → Kimi K2.5 → MiniMax M2.5 → DeepSeek-R1 (for reasoning) → Claude Haiku (for simple tasks). Rate limit reset: n8n triggers full Genesis stack respawn daily at 8PM AEST. Rate Maximizer maintains 90-95% capacity target — never 100% to avoid mid-task rate limit hits.

Never run at 100% capacity — 90-95% target to leave headroom

Fallback chain is automatic — no human intervention needed

Daily 8PM AEST reset clears rate limits for overnight work

Gemini is primary execution engine — protect this relationship


ReceptionistAI Pre-Mortem

Pre-mortem analysis of risks before launching ReceptionistAI. Identified failure modes: Australian Privacy Act non-compliance (mitigation: ADM compliance messaging), voice quality degradation under load (mitigation: Telnyx managed infra), data breach (mitigation: customer data isolation, Elestio security), false scheduling conflicts (mitigation: Cal.com native booking), voice agent misrepresentation as human (mitigation: disclosure protocol), Telnyx vendor lock-in (mitigation: abstract voice layer).

Privacy Act ADM compliance is both risk and selling point

Voice quality is non-negotiable — use NaturalHD only

Customer data isolation required before launch

Human disclosure protocol: AIVA identifies as AI when sincerely asked


Genesis Compendium Blueprint — Epochs 3-9

Master implementation plan for modules 004-012 across Epochs 3-9. Source: Gemini Ultra 10-turn Deep Think session (Gemini Chat 8e2a6293b063b7fe, 2026-02-20). 4 things Compendium defines: (1) Turborepo monorepo architecture for Genesis codebase, (2) 4-Chamber Forge SDLC (Research→Design→Build→Verify), (3) Agent Army Allocation per module type, (4) 60-day execution roadmap with budget governor. Status: REVIEW-READY, awaiting Kinan sign-off. Build order: inside-out (core → integrations → UI → distribution).

Turborepo monorepo for unified codebase management

4-Chamber Forge SDLC replaces ad-hoc development

Budget governor caps per-module spending


Genesis Marketing Engine Architecture

Complete marketing automation stack covering ReceptionistAI, ClawdTalk, and Tradie Revenue Suite. 5 engines: (1) Reddit Engine (organic demand from high-intent threads), (2) AI Viral UGC Engine (MiniMax + Gemini video/image at scale), (3) Ad Copy Intelligence Engine (AI-powered creation, testing, optimization), (4) Social Media Engine (multi-platform automated), (5) Email Marketing Engine (Instantly.ai cold + warm). Revenue targets: ReceptionistAI $50K MRR/6mo, ClawdTalk $25K MRR/6mo, Tradie Revenue Suite $15K MRR/6mo. Combined: $90K MRR by month 6. Core: all engines automatable via n8n.

Marketing is 90% of the picture — Kinan directive

Reddit Engine = highest-intent organic traffic


RLM Workers Execution Plan

Execution plan to bring RLM bloodstream from shadow-mode-with-bugs to fully operational shadow mode. Supersedes RLM_DEPLOYMENT_PLAN.md and RLM_LIVING_BLOODSTREAM_PLAN.md. Current state: 9,109 lines across 6 modules, rlm_gateway.py active in shadow mode, 38 interactions logged. What IS connected: Telnyx call.hangup→Gateway, PostgreSQL (38 interaction rows), Constitutional AI loaded with fallback, Reward Model loaded with placeholder. Immediate fixes needed: Redis config (RedisConfig.get_client_params missing), preference pair collection (Telegram buttons), reward model training trigger.

Shadow mode goal: every call processed, nothing changed in responses yet

Telegram buttons = unblocking step for preference pairs

Redis fix = P0 before expanding shadow mode

Phase 2 (PPO+DPO) deferred — needs shadow mode data first


Deep Reasoning Capabilities Report

Verified research on Genesis's 3 deep reasoning mechanisms. Gemini thinkingConfig: LIVE TESTED, thought tokens billed as output, 7-27s latency, High quality. Claude Extended Thinking: LIVE DOCUMENTED, full thought tokens billed even if summarized, 10-60s+ latency, Very High quality. Sequential Thinking MCP: LIVE CONNECTED, zero extra cost, structured prompting only, negligible latency. google-genai SDK v1.61.0 required (NOT deprecated google-generativeai). Decision framework: use thinkingConfig for Gemini deep analysis, Extended Thinking for Claude strategic work, Sequential Thinking MCP for structured reasoning chains.

google-genai package (v1.61.0+) required for thinkingConfig

Extended Thinking costs full thought tokens even if hidden

Sequential Thinking MCP = free structured reasoning

Use thinkingConfig for Gemini heavy analysis tasks


Sunaiva Radar Directive — Lead Magnet Funnel

Radar product at sunaivaradar.com. Free business audit that converts to AgileAdapt MRR. Tech stack: Pomelli (website scanning) + n8n (automation) + Veo 3 (personalized video report) + Instantly (follow-up) + Vapi (qualification call) + GHL (CRM). Concept: user enters business URL → Pomelli scans (30 seconds) → Gemini analyzes gaps → Veo 3 generates personalized video report → Instantly follow-up → Vapi qualification call → GHL pipeline. Fits the B2B Wedge Strategy: Audit is the tip of the spear.

Veo 3 personalized video = high-value differentiation


Genesis Overnight Evolution Audit

Full repository audit 2026-02-14 by Claude Opus 4.6 Hyperstack overnight autonomous mission. Skills: 64 total (v2.5.0), 55 skill markdown files. Categories: orchestration (8), optimization (8), development (6), integration (7), quality (5), security (4), plus more. Top 20 evolution recommendations generated. Revenue readiness assessment. Gap analysis identifying: missing production hardening, incomplete RLM activation, no Stripe lifecycle handler, no voicemail transcription. Overnight achievement summary documenting what was built autonomously.

64 skills at audit time (now 34 after skills consolidation)

Security skills include pretooluse-validator and permission-system

Top 20 evolution recommendations prioritized by revenue impact

Production hardening was #1 gap identified


Dashboard Mastery Plan

Research and roadmap for Genesis dashboard infrastructure. Current state: 22 HTML dashboards, all static, all manually updated. Gap: zero auto-update from agent runs, swarm executions, session handoffs. Tools evaluated: Grafana (best for infra metrics, native PostgreSQL/Redis, 100+ pre-built dashboards, needs Elestio service), Streamlit (Python-native, quick prototypes, not production), Dash (React-based, complex), Observable (notebooks). Recommendation: Grafana for production metrics (add to Elestio), HTML dashboards for simple status pages. M8 (Prometheus+Grafana) from Stack Completion PRD delivers this.

Grafana = production monitoring standard going forward

M8 from Stack Completion PRD already built Prometheus+Grafana

PostgreSQL and Redis as primary Grafana data sources

PLAN IMPLEMENTED via M8 Stack Completion


Genesis Quick Start v2 — Quantum Activation

Two-pronged parallel execution strategy from 2026-01-03. Prong 1 (Direct Sales, Immediate Cash): Database of 4,886 AU tradies (no emails), method Pomelli→DM→Vapi→Close, revenue $2,997 setup + $297/mo, timeline THIS WEEK. Prong 2 (Creator Ecosystem, Exponential Growth): Database of 5,000 micro-influencers, method Veo 3 video→Revenue share partnership, revenue 30% of all app sales (zero upfront), timeline exponential by Month 2. Both tracks run simultaneously for compounding effect.

Two tracks compound each other when run simultaneously

Revenue share model for creators = zero upfront CAC

Veo 3 personalized video = creator partnership hook


AIVA Queen Elevation Sprint Plan

Sprint plan for rapid AIVA elevation before formal coronation. Phases: Phase 1 (Connect): wire command bridge, PostgreSQL, Telnyx webhook. Phase 2 (Activate): deploy ORCHESTRATOR_SYSTEM_PROMPT, register all capabilities, activate NAMP scoring. Phase 3 (Verify): run triple gate validation, confirm all Tier 0 capabilities operational. Phase 4 (Measure): establish NAMP baseline, confirm decision engine logging. Sprint duration: 48-hour target. Resulted in coronation on 2026-02-20.

4-phase sprint approach — sequential gates

48-hour target from activation to coronation

Triple gate validator confirms each phase before advancing

NAMP baseline must be established before coronation

COMPLETED — Coronation achieved 2026-02-20


AIVA Mission Living System

Definition of AIVA as a living system — not a static product. Core properties: continuous learning (every interaction adds to memory), self-improvement (RLM loop updates preferences), adaptive autonomy (NAMP score expands authority tier), revenue generation (actions judged by revenue impact). Living System vs Static Product: never frozen, never version-locked, grows with every customer interaction, moat deepens over time. AIVA's living system architecture = Genesis's primary competitive advantage.

RLM loop is what makes AIVA alive vs static

Revenue generation is a constitutional obligation, not a feature

Moat deepens exponentially — network effects from customer interactions


ReceptionistAI Composable Pricing PRD

Replaces monolithic pricing with 6 standalone products and 3 named bundles. Standalone: AI Receptionist Voice ($97/mo), Missed Call Text-Back ($47/mo), AI Quote Qualifier ($67/mo), CRM Auto-Update ($57/mo), Appointment Booking ($77/mo), Weekly Performance Report ($37/mo). Total if bought separately: $382/mo. Bundles: Agency Escape ($147/mo, 3 products), Ironclad Front Desk ($297/mo, 5 products), Full Dominator ($397/mo, all 6). Status: APPROVED - execute after 10+ paying customers. Upsell path: $97 -> $147 -> $297 -> $397.

LocalSearch poach at $147 Agency Escape vs $300-400 LocalSearch

5-email 10-day outreach sequence for LocalSearch targets


RLM Workers Execution Plan

Brings RLM bloodstream from shadow-mode-with-bugs to fully operational shadow mode. 9,109 lines across 6 modules: rlm_01 preference learning (1,759 lines), rlm_02 reward model (2,280 lines), rlm_03 PPO engine (1,722 lines, Phase 2 deferred), rlm_04 DPO trainer (1,392 lines, Phase 2 deferred), rlm_05 constitutional AI (1,961 lines, shadow mode). Known bugs: Redis get_client_params missing, pl_preference_pairs schema mismatch (6 vs 7 column mismatch). Critical gap: 0 human preference pairs collected.

Fix Redis alias bug first (highest blocking bug)

Defer PPO/DPO until preference data collected

Mentor pairs as synthetic preference data source


Skool Community Strategy

Free Skool community 'Australian Tradie Growth' as lead generation for ReceptionistAI. URL: skool.com/australian-tradie-growth. Tagline: 'Where Australian trade business owners learn to win more jobs, answer every call, and stop leaving money on the table.' Target: plumbers, electricians, HVAC, builders 1-10 employees. Cost: Hobby plan $9/mo (10% fee irrelevant for free community). AIVA moderates routine questions. Natural upsell path to ReceptionistAI.

Free community over paid (lower friction for tradie acquisition)

Weekly tactical value drops to build trust


Social Media Engine Architecture

Automated multi-platform marketing for ReceptionistAI. Platform priority: Facebook/Instagram (CRITICAL, 87 sales in 30 days case study, Australian tradies live on Facebook), Google Business Profile (HIGH, 2.7x more reputable with regular posts), LinkedIn (MEDIUM, agency B2B), TikTok (MEDIUM), YouTube (LOW). 5 content pillars: Missed Call Problem, AI Demo Showcases, Tradie Success Stories, Educational Tips, Behind the Scenes. Target: 100-500+ leads/week at scale. Revenue target: 5 customers/mo from social = $2,485/mo at $497 entry.

Facebook-first acquisition
Multi-platform amplification strategy
AI-generated content at scale
GBP for local SEO boost


Zero Touchpoint Operational Blueprint

Kinan directive: eliminate 100% of human touchpoints in sales, onboarding, support. Target: 1000 clients with 2-3 humans (only billing disputes, legal, critical bugs). Inspiration: Frankie's student closed 800 clients in 10 months with zero calls. 4 phases: (1) AI-Powered Discovery via hand-raiser posts + auto-DM, (2) Video-Based Sales with 5-min demo videos, (3) Self-Serve Purchase click-to-pay, (4) Automated Onboarding via webcrawl + AI training + 48h deployment, (5) AI Support Agent handling 95% queries.

Video-based sales over calls (Frankie model)

AI handles 95% support, humans handle 5%

48h onboarding target from payment to live


OpenClaw VPS Deployment Plan

Deployment plan for OpenClaw (AIVA's AI gateway) on VPS infrastructure. Covers installation, configuration, and operational hardening of the OpenClaw gateway that powers AIVA on Mac Mini M4. Includes Zapier MCP integration with 184 tools via mcporter + exec wrapper.

Mac Mini M4 as sovereign hardware (not VPS)


MCP Implementation Roadmap

Roadmap for implementing and extending the Genesis MCP ecosystem. 13 MCP servers deployed. GHL MCP has 269 tools compiled. genesis-voice-bridge on port 8900. genesis-core with 8 tools. Instantly-outreach FROZEN pending campaign activation. Plans for extending to patent-os and additional vertical-specific MCPs.

Unified MCP gateway over separate integrations

GHL MCP as primary CRM integration (269 tools)

Voice bridge MCP for Telnyx orchestration

Freeze Instantly until campaigns verified

mcp-servers/
.vscode/mcp-config.json
CLAUDE.md MCP table


Memory Architecture Evolution Plan

Evolution path for Genesis memory from current 6-tier stack to advanced architecture. Current stack: Redis (T1 working memory) -> PostgreSQL (T2 episodic) -> Qdrant (T3 semantic) -> KG JSONL (T4 intelligence) -> Supermemory vault (T5 cross-session) -> FalkorDB (T6, not yet deployed). Future: Integrate FalkorDB as primary graph layer, Letta for long-term agent memory, mem0 for hierarchical memory management.

FalkorDB as future graph DB (replacing JSONL files)

Letta for multi-session agent persistence

6-tier stack is current production standard


Production Hardening Plan

Security and operational hardening requirements before production launch. Covers credential rotation (.env.production exposure), JWT secret rotation, database connection pooling, schema migrations, SSL certificate management, rate limiting, and monitoring setup. Addresses gap analysis from launch readiness audit.

Infisical for secrets management (M1 of Stack Completion PRD)

Alembic for migrations (M4 of Stack Completion PRD)

Dramatiq for task queues (M6 of Stack Completion PRD)

Langfuse+Prometheus for observability (M7+M8)


Strategic Documents Index

Master index of all Genesis strategic documents. Cross-references PRDs, execution plans, architecture docs, research reports. Provides navigation layer across 91+ plan files. Updated periodically as new documents are added.

Single index over distributed README files

Categorized by domain (voice, memory, agents, revenue, infra)

Links to ownership + status for each document