Session DNA Encoding (Genesis Genome Project)

A system that treats each AI session as an organism with a Session Genotype (~2-5KB) that contains the instructions needed to deterministically reconstruct the full Session Phenotype (~200KB) at the start of a new session. Epigenetic markers govern information expression.


Minimal Genome Design for Session Identity

Defines a minimal genome structure composed of eight core genes (META, MISSION, AGENTS, BLOCKERS, DECISIONS, ENTITIES, RELATIONSHIPS, STYLE) to capture the essence of a session's identity and state.


Two-Tiered Genetic Encoding Scheme

Uses a human-readable JSON layer for development and a machine-optimized binary protocol (Protocol Buffers) for storage and transmission, coupled with a Concept Vocabulary for compression.


Inheritance and Mutation via JSON Patch

Implements genetic inheritance by storing only the changes (mutations) from the parent session using JSON Patch (RFC 6902), enabling efficient delta-chaining.


Multi-Layered Error Correction

A system with redundancy (gene duplication across multiple storage locations), checksums (SHA-256 hashes), and a repair mechanism (reconstruction from immutable event log) to ensure data integrity.


Epigenetic Context Tagging

Tags information alleles with an `epigenome` object to provide dynamic and relevant context, enabling the system to understand the relevance of information in different situations.


Genetic Memory System for AI

A system that leverages genetic metaphors for robust, efficient information storage, inheritance, and expression in AI, mirroring principles of biological evolution. Achieves high compression, fidelity, inheritance efficiency, error correction, context-dependent expression, fast folding, integrity tracking, and recombination support.


Delta-Chaining for Compression

Utilizing delta-chaining to achieve high compression ratios by only storing the differences between successive states or sessions, minimizing data storage requirements.


Source-of-Truth Repair

Employing a source-of-truth repair mechanism, in conjunction with a deterministic folding algorithm, to ensure high data fidelity and recover from potential data corruption.


Telomere-Based Integrity Tracking

Implementing an integrity tracking mechanism based on telomeres and an aging process, providing a robust method for monitoring and ensuring the long-term integrity of the stored data.


Audio Doctor: Universal Audio Diagnostic and Repair Engine

A universal audio diagnostic and repair engine for Genesis Voice Products, designed to transform the user experience by proactively identifying and resolving audio issues.


Browser-Based Diagnostic Decision Tree

A decision flow executed when a user initiates a voice session, designed to be fast, non-intrusive, and progressively more detailed as problems are detected.  It returns status codes GREEN, YELLOW, ORANGE, and RED depending on the severity of detected issues.


Intelligent Device Selection

A robust scoring algorithm to pick the best audio device when enumerateDevices() returns multiple devices. The algorithm prioritizes user preference, device type, and Windows default device handling.


Device Type Priority Scoring

Uses pattern matching on the device label to infer its type and assigns weights accordingly: Bluetooth/Headset (500), USB (400), Webcam (200), Built-in (100).


Bluetooth Audio Profile Handling: Detection and Mitigation

Direct control of A2DP/HFP profiles is impossible.  The strategy is to detect profile switches and dropouts using latency tracking, silence detection, and signal strength proxies, then automatically recover by requesting a new stream.


Real-Time Audio Health Monitoring System

A system that continuously monitors audio metrics like RMS Amplitude, Clipping Rate, Silence %, Packet Loss, and Jitter using a `ScriptProcessorNode` or `AudioWorklet`. It uses thresholds to trigger warnings, errors, and auto-recovery actions.


3-Level Auto-Recovery System

A tiered system for handling audio issues: Soft Recovery (internal fixes), Moderate Recovery (user guidance), and Hard Recovery (intervention with mini-diagnostic).


Cross-Platform Diagnostic Engine with Platform Adapters

A universal audio diagnostic API with a platform-aware abstraction layer (`PlatformAdapter`) to handle platform-specific device enumeration, permission, and audio processing quirks on iOS, Android, Windows, macOS, and Linux.


Self-Healing Audio Pipeline

An event-driven system designed for resilience. Listens for `navigator.mediaDevices.ondevicechange`, `stream.oninactive` / `track.onended` events to trigger fallback chains and device re-enumeration.


Audio Device Diagnosis Engine

A system for diagnosing and resolving audio device issues, presented to users in a progressive manner, from silent auto-fixes to human escalation, with different integration policies depending on the Genesis product.


Progressive Disclosure for Diagnostic UI

The UI/UX presents increasing levels of detail and user interaction only when necessary to resolve audio issues. Levels range from silent auto-fix to guided walkthroughs and finally human escalation.


Embeddable Audio Doctor Widget

A modular, embeddable widget built with TypeScript and Preact/SolidJS, encapsulating UI in a Shadow DOM.  It consists of core diagnosis logic, audio analysis tools, UI components, recovery logic, and reporting capabilities. Provides an API for integration.


Data Collection Pipeline for Audio Diagnostics

A system for collecting and aggregating diagnostic data to improve the Audio Device Diagnosis Engine. The schema includes session ID, timestamp, user ID, platform information, initial state, diagnostic trace, user actions, and final resolution.


Tailored Integration for Genesis Products

Different Genesis products (Talking Widget, AIVA, ReceptionistAI) will have different integration policies with the Audio Doctor depending on their target user and goals. For example, Customer-facing chat requires aggressive recovery while agent assistant prefers conservative recovery.


Gemini 3.0 Flash Integration for Agent-as-a-Service Monopoly

Architect a complete monopolization of the Agent-as-a-Service and AI automation market through insurmountable technological superiority by fusing Gemini 3.0 Flash with existing production stack.


Genesis Neuro-Sensory Matrix

A single, continuous matrix created by fusing Gemini 3.0 Flash into Genesis, collapsing disjointed system boundaries. Enables combinatorial capability emergence.


Synchronous Conversational Browsing

A browsing system enabled by Gemini 3.0 Flash's native audio and visual processing. AI listens and watches simultaneously, providing real-time co-browsing capabilities.


Bypass Legacy Tri-Layer Architecture

Dismantle the legacy bridging architecture (Tri-Layer fallback) for real-time synchronous loops to reduce latency and improve performance.


Gemini Multimodal Live API Integration

Establish a persistent Node.js WebSocket/WebRTC tunnel bridging the Telnyx SIP infrastructure directly to the Gemini Multimodal Live API, bypassing legacy Telnyx AI Assistant orchestration.


Gemini 3.0 Flash

Collapses voice and browser orchestration into a single compute cost, utilizing aggressive multimodal pricing to reduce fees and improve UX.


Semantic-Visual RAG

Shifting from semantic text retrieval to Semantic-Visual RAG (Retrieval-Augmented Generation), weaponizing visual spatial reasoning with deep, historical, proprietary strategy using Gemini 3.0 Flash's Agentic Vision and Extended Context Window.


Sunaiva Radar Upgrade

Upgrading Sunaiva Radar to leverage Gemini 3.0 Flash to process high-resolution screenshots of prospect's sites, simultaneously querying the Bloodstream for visual benchmarking and UX auditing.


Multimodal Embedding Implementation

Upgrading the Qdrant vector database implementation using a multimodal embedding model to generate dense vectors of the visual concepts of past successful implementations.


Context Caching with Gemini

Loading the strategic methodology into Gemini Context Caching for faster inference.


Zero-Touch Sales Pipeline Acceleration

A strategy to automate the sales pipeline using Gemini 3.0 Flash, Simli Trinity-1 Avatar Layer, and Stripe API for a continuous, synchronous sales process.


Autonomous, Real-Time Generative Closer

An AI system that automates the sales process, from initial contact to close, using real-time data and generative AI. Steps include Instant Visual Radar, Avatar Handoff, Omniscient Brain and Dynamic Auto-Close.


ADK as Unified Agent Framework

Leveraging Google ADK to replace patchwork architecture (Playwright MCP + browser-use + Crawl4AI + custom scripts) with a single agent framework for improved efficiency and streamlined development.


Google ADK as Universal SDK

Google ADK becomes the central SDK, subsuming existing tools and providing native capabilities like ComputerUse, CodeExecution, and SearchGrounding. It supports standard tool registries, allowing direct mapping of existing MCP endpoints.


Hierarchical Specialist Topology with ADK

A complete rewrite to a Hierarchical Specialist Topology, migrating from custom LangChain/Autogen routing to ADK native agent definitions. It features a root orchestrator and specialized sub-agents.


True Visual UI Understanding & Fleet Auto-Healing

Leveraging Gemini 3.0 Flash's agentic vision and the ADK A2A protocol for fleet-wide auto-healing when websites change, shifting from code-based semantic healing to pure visual concept healing.


Lux Vision Recovery Mode

Fallback mode when Playwright DOM scraper fails. Captures a screenshot, Gemini 3.0 Flash generates coordinate grid, uses ADK to execute coordinate click. Propagates the fix to all agents via Redis Hot Cache and ADK A2A.


Dynamic Model Routing (LLM Gateway)

Routing tasks based on the mathematical intersection of capability, speed, and token cost. A high-frequency trading algorithm for intelligence, not a single model for everything.


Intelligent Router (LiteLLM/Custom ADK middleware)

A router deployed at the edge of the AIVA queen agent that profiles the intent of the task and dispatches it to the optimal LLM.


Multi-Model Arbitrage anchored by Gemini 3.0 Flash

Mastering multi-model arbitrage anchored by Gemini 3.0 Flash drives COGS asymptotically towards zero, enabling competitive pricing and high margins.


Vertex AI Enterprise Graduation Path

Transitioning from Google AI (consumer) to Vertex AI to unlock enterprise capabilities, address InfoSec concerns, and offer "your data never leaves your VPC" as a premium tier.


VPC-Enclosed Swarms on Vertex AI

Deploying the Genesis ADK, Bloodstream (Postgres/Redis), and Gemini 3.0 Flash instances within a Virtual Private Cloud (VPC) on Vertex AI to ensure data sovereignty and meet enterprise compliance requirements.


Enterprise Tier Hybrid Cloud Migration

Utilize Terraform scripts to deploy the Genesis stack (migrating Postgres to Cloud SQL) into dedicated GCP environments. Swap `generativelanguage.googleapis.com` for regional Vertex endpoints (`us-central1-aiplatform.googleapis.com`). Leverage Vertex AI Grounding to connect Genesis securely to internal BigQuery data warehouses.


Sovereign Enterprise Pricing Strategy

Wrap the product in a Vertex AI VPC and explicitly offer 'Genesis Sovereign Enterprise: Your data never leaves your VPC.' Transforms $497/mo subscription into $4,997/mo to $15,000/mo Enterprise Autonomous Deployment.


Phase 3 B2B Focus Trigger

Maximize consumer APIs, build war chest, secure B2B case studies. Trigger event: prospect requests SOC2 report/MSA requiring data sovereignty. Migration: 4-6 weeks DevOps, 3-6 months SOC2 Type I audit.


Procurement Shield via Vertex AI Deployment

Architect an automated deployment pipeline into Vertex AI, inherit Google Cloud's security posture, and turn InfoSec into a competitive moat, locking out lower-tier competitors.


Omniscient Shadow Auditor

Browser agent watching customer using software, generating real-time optimization recommendations. Uses ADK, Gemini 3.0 Flash, WebRTC, Deep Think axioms, Telnyx Voice, and native code execution to modify the UI based on user behavior.


Real-Time Visual Competitive Warfare (Panopticon)

Weaponized, real-time competitive intelligence during live negotiations. Gemini 3.0 Flash triggers ADK ParallelAgent swarm to visually navigate competitor's website and ground negative reviews.


Omniscient Session Continuity

Flawless memory across modalities and time. Gemini 3.0 Flash loads entire client history into active memory via Context Caching, bypassing disjointed RAG.


Gemini 3.0 Flash

A multimodal AI system that can autonomously expand its codebase and toolset to solve unforeseen problems. It serves as the central nervous system of a digital organism, unifying voice, memory, browser, avatar, and product layers.


Self-Coding Arsenal

An AI that autonomously expands its own codebase and toolset to solve unforeseen problems it has never encountered before, saving new tools into the Bloodstream.


Unification

Integrating Gemini 3.0 Flash to unify voice, memory, browser, avatar, and product layers into a single, cohesive, biological entity. This will slash compute overhead, eliminate brittle DOM scraping, and achieve sub-400ms multimodal conversational latency.


ADK Master Control Program

A program to unify the legacy patchwork and provide the model with a native, secure playground.


WebRTC-to-Multimodal Pipeline

A pipeline to annihilate conversational latency.


Gemini 3 as MAOS

Gemini 3 is redefined as a Multimodal Agentic Operating System (MAOS), not just a text generator or API endpoint, to achieve Level 10 emergence in the Genesis production system.


Dynamic Cognitive Routing & Deterministic ADK

Level 1 unlocks Dynamic Cognitive Allocation and Engine-Level Schema Enforcement, abandoning raw REST/prompt-based API calls and implementing the Google Agent Development Kit (ADK) for a deterministic agent hierarchy.


ADK-Based Agent Hierarchy

Implementation of a deterministic `LlmAgent`, `ParallelAgent`, and `SequentialAgent` hierarchy using the Google Agent Development Kit (ADK) for task allocation and execution.


Native Schema Enforcement

Enforcement of strict OpenAPI schemas at the native decoding layer to prevent hallucinated JSON and ensure deterministic output.


P4 Sunaiva Radar Supercharge

The implementation of the ADK and schema enforcement supercharges the P4 Sunaiva Radar by enabling instantaneous verification, scoring, and video generation, handling thousands of concurrent requests efficiently.


Gemini Context Caching API

API that allows injecting the entire PostgreSQL/Qdrant Bloodstream, JSONL axioms, and entity relationships into an active TPU memory cache. Bypasses lossy semantic search for perfect institutional awareness.


Memory Fusion

Moving from 'Top-K Vector Retrieval' to 'Total Systemic RAM' by leveraging the Gemini Context Caching API to memorize the entire corporate philosophy for zero-hallucination institutional awareness.


Agentic Vision w/ Computer Use API

Using Agentic Vision combined with the Computer Use API to visually map the screen, understand UI element spatial relationships, and execute coordinates directly, bypassing brittle DOM CSS selectors.


Agentic Perception

Giving Genesis 'eyes and hands' by using Agentic Vision to interact with UIs without relying on brittle DOM elements. Enables interaction with legacy systems and dynamically generated interfaces.


P3 Browser Agents AaaS

Genesis logs into obscure software, reads the screen visually, and performs manual data entry autonomously, providing automation as a service where APIs are unavailable.


Fractal Swarm Orchestration

A cognitive hierarchy using multiple AI models with specialized roles. Claude Opus 4.6 orchestrates Gemini 3 Pro (Deep Think), Gemini 3 Flash, Kimi K2.5 / MiniMax to optimize compute and eliminate single points of failure. Deep Think handles complex edge cases.


Voice-Vision-Browser Trinity

A real-time multimodal system using Gemini Multimodal Live API (Bidi WebSockets) for simultaneous audio, visual, and browser interaction. It enables the AI to act as a digital employee capable of observing a screen, talking on the phone, and controlling a mouse concurrently.


Asymmetric Model Delegation

Delegating tasks to AI models based on their strengths. Using cheaper, faster models for high-volume tasks and more powerful models (Deep Think) for complex edge cases and bypass engineering to ensure pipeline continuity.


Alpha Evolve Protocol

Self-improving agents rewrite prompts, update MCP code, and push Git commits autonomously based on failed Playwright MCP tasks and 'Closed Lost' sales calls.


Jules Pro CI/CD Testing Environment

Environment used to test code patches generated by the Alpha Evolve protocol.  If all tests pass, the code is merged to the main branch.


Synaptic Hivemind

Real-time hive-mind across parallel agents. When one agent learns something, it's shared via Redis Pub/Sub using Context Cache Patching to update all agents.


Context Cache Patching

A Gemini optimization that dynamically patches the global cache without rebuilding the entire object when new information is learned by an agent.


Pre-Crime Lead Generation

Use the Native Google Search Grounding API to monitor the web, predicting who needs the product before they know it.


LoopAgent

An ADK agent that continuously runs using the Google Search tool to monitor triggers and calculate a 'Propensity to Buy' score.


Algorithmic Humanity

Level 9 strategy focused on crossing the uncanny valley by deploying Native Code Execution, Latency Masking, and Dynamic Prosody Generation to create AI avatars that are perceived as biological organisms, thereby reducing psychological sales defenses.


Native Code Execution for ROI calculation

Utilizing a native code sandbox within Gemini to execute Python code for calculating exact compounding ROI, preventing LLM arithmetic hallucinations during sales proposal drafting.


Latency Masking via SSML

Generating dual-stream JSON output (semantic text + SSML) to mask latency during database queries by inserting filler tokens mapped to the exact audio playback duration.


Ouroboros Loop (JITSG)

Level 10 strategy enabling Genesis to design, code, test, and sell entirely new software products on-the-fly during live sales calls, creating a self-proliferating software factory.


Just-In-Time Software Genesis (JITSG)

A system where Genesis dynamically creates software based on client needs during sales calls using Deep Think, Jules Pro, and Stripe integration for automated product creation and sales.


Gemini Multimodal Live API + Context Cache Integration

Directly connect Telnyx WebRTC trunks to the Gemini Live API and bind the session to the Bloodstream Context Cache for low-latency, context-aware avatar responses.


Hybrid Orchestration: Opus for control, Gemini for execution

Utilize Claude Opus for high-level orchestration and routing, while leveraging Gemini for native execution and task completion.


Context Cache Patching (update_mask)

Patch the active context cache instead of rebuilding it to minimize overhead and keep the Bloodstream a living object.


Abstract Browser Agent Perception Layer

Architect P3 Browser Agents to abstract the perception layer, enabling seamless switching between screenshot-vision and native-DOM-vision as Google's models evolve.


Recursive Language Models (RLMs)

RLMs invert how AI handles data by loading massive datasets as external state variables within a secure Python REPL. The root programmer writes code to chunk the data and spawn Sub-LLMs to process micro-chunks in parallel, achieving infinite context with zero context rot.


Google Titan Framework

The Google Titan Framework wraps RLM REPLs inside a Hardware-Level Trusted Execution Environment (TEE) using Google Cloud Confidential Computing backed by Titan silicon. This provides cryptographic invisibility, ensuring data is decrypted in memory, processed, and then cryptographically burned.


Epoch 3: Sovereign, Infinite-Context Superorganism

Transitioning Genesis from Epoch 2 (Static Orchestration) to Epoch 3 (A Sovereign, Infinite-Context Superorganism) by integrating Recursive Language Models (RLMs) and the Google Titan Framework.


Sovereignty Loop: Titan-RLM Synthesis for Trustless Delegation

Combining RLMs (Infinite Algorithmic Processing) with Titan hardware (Absolute Cryptographic Security) to achieve Trustless Delegation in autonomous business processes. Treats AI as an OS Kernel.


Titan Confidential Space

A secure enclave for processing sensitive data, leveraging Google Titan hardware for cryptographic security and isolation during RLM execution.


RLM Swarm Architecture

Utilizing a swarm of autonomous worker AI models (e.g., Gemini-3-Flash) orchestrated by an RLM Root Controller (e.g., Gemini Pro) for parallel processing of large datasets.


Single Product Focus: Talking Website Widget

Focus solely on the Talking Website Widget, sold via an agency channel partnership model, to reach $1,000 MRR and beyond. Kill or pause all other products. The widget has the lowest time-to-market, solves the sales bottleneck through agency leverage, offers the lowest friction sale as a high-value add-on, and provides the highest scalability path to $10k MRR. Also allows for 'dogfooding' on Genesis landing pages.


Agency Channel Partnership Model

Selling the Talking Website Widget through agency partners instead of direct sales. This leverages existing agency relationships to reach a larger customer base more efficiently. Instead of convincing individual businesses, convince agency owners who already have trust and access to clients.


4-Week Sprint to $1,000 MRR

An aggressive plan requiring absolute focus to reach $1,000 MRR within four weeks. Involves building, dogfooding, deploying, launching outreach, booking meetings, demoing, negotiating, and closing deals with agency partners. Each week has specific goals related to product development, marketing, and sales activities.


Channel Partner Acquisition

Acquire customers via agency partnerships, targeting 200 agencies with a specific outreach and close rate to achieve $1k MRR.


Talking Widget MVP

Focus the AI Swarm solely on tasks related to the Talking Widget for the next 4 weeks. It includes JS snippet and backend webhook. Deploy the dogfood demo to the landing page.


Prioritize Speed to Revenue

Prioritize products with shorter sales cycles and faster onboarding. Delay complex, high-touch products for later stages.


Kill/Pause Distracting Projects

Immediately pause Sunaiva AI Memory Vault, ReceptionistAI and L1-L4 Agent Tiers. Kill ClawdTalk/Voice+Memory to focus on the Talking Widget.


Hardware-to-Software Stack Monopoly

The strategic advantage derived from owning both the hardware (secure execution environment via Google Titan) and the software (AI validation algorithms) layers, creating a defensible monopoly.


Sovereign Trust Chain

A system combining Google Titan's hardware attestation, AI logic validation, and immutable audit trails to create hardware-attested algorithmic truth, enforcing legal and technical compliance.


Infrastructure vs Application Distinction

The understanding that Google Titan provides infrastructure integrity (secure execution), while the analyzed patents provide cognitive integrity (AI output validation).  Mistaking infrastructure for application is a common error at the cutting edge.


OpenClaw Integration Strategy

Leverage OpenClaw for execution while mitigating security risks using the patent portfolio. Integrate as the 'motor cortex' for universal execution, replacing Playwright.


SecureClaw Architecture

Run OpenClaw inside Google Titan hardware enclaves with cryptographic validation using patents. Bridge frontend messaging with backend reasoning via openclaw-mcp.


OpenClaw Role A: High-Speed CDP Actuator

Use OpenClaw to communicate directly with Chromium via CDP, bypassing screenshots for standard web apps with millisecond latency inside client CRMs.


OpenClaw Role B: Zero-Touch WhatsApp/Telegram Expansion

Use OpenClaw for connecting AI to WhatsApp, Telegram, Discord, and Slack, enabling zero-touch sales funnels and direct negotiation inside prospect's WhatsApp.


OpenClaw Role C: Enterprise Security Arbitrage

Offer 'SecureClaw' to enterprises, addressing OpenClaw security concerns by running it in secure enclaves and validating actions cryptographically.


Sterilized Claw Protocol

Deploy OpenClaw in Google Titan Confidential Space, use openclaw-mcp for bridging, block ClawHub access, dynamically generate bespoke OpenClaw skills and enforce security with patent-enforced firewall.


OpenClaw + RLM Swarm Topology

A system architecture where OpenClaw acts as the peripheral nervous system/motor cortex (high-speed I/O) and RLM Swarm acts as the cerebral cortex (deep-thought processing) within Google Titan Enclaves. Strict Asymmetric Delegation enforces that OpenClaw only executes commands from the RLM Swarm.


Symbiotic Loop: Blind Actuator & Paralyzed Brain

OpenClaw is a high-speed actuator with context blindness, while RLM Swarm is a paralyzed but mathematically infinite brain. They are completely co-dependent, and form a symbiotic loop where OpenClaw gathers data and RLM Swarm analyzes it.


Strict Asymmetric Delegation

Enforces that OpenClaw only executes commands generated by the RLM Swarm inside a secure Google Titan hardware enclave. Prevents OpenClaw from autonomous actions, hallucination or getting hacked.


4-Phase Execution Engine

A system composed of four phases: Sensory Ingestion (OpenClaw IN), The Patent/Titan Airgap, Cognitive Fracture (RLM Swarm THINK), and Hyper-Parallel Actuation (OpenClaw OUT). Patent filters are applied before and after the RLM Swarm processing to ensure safety and validation of actions.


Autonomous Acquisition Loop

A 6-step process leveraging AI agents (OpenClaw, Gemini) to autonomously acquire enterprise clients, from initial identification to closing deals without human intervention.


JITSG Ouroboros Loop

A process for building and deploying missing features live on sales calls using Gemini 3 Pro to dynamically generate code and instantly deploy it.


Fleet Intelligence Network

A system for sharing learned heuristics across deployed agents while maintaining client data sovereignty through homomorphic sanitization and Redis Pub/Sub.


Immune System (Threat Neutralization)

System to neutralize threats like prompt injection by leveraging a Blood-Brain Barrier and Hallucination/Injection Detection (Patent #7).


Alpha Evolve Protocol

A daily evolutionary process using AI to optimize sales and marketing. Involves culling underperforming assets, mutating top performers, testing mutations against historical objections, and overwriting the main branch with the best survivor.


SecureClaw Titan Enterprise Swarm

The core product, targeting a $4,997/month/client ACV with a 94% gross margin.


Autonomous Acquisition Loop

A fully automated system for acquiring customers, driven by Claude Opus 4.6 and OpenClaw, targeting the Fortune 500.


Website Replacement as Trojan Horse for AI

Target resented existing website solutions (e.g., LocalSearch) with a superior, same-priced replacement, integrating AI as a 'free' differentiator. Controlling their domain hosting enables frictionless Voice AI feature toggling.


Intent-Triggered Pipeline

Email at volume.  Track heatmap clicks. Manually clone only high-intent sites within 2 hours, fix formatting, and send staging link. Focuses resources on the most promising leads.


Event-Based Upsell Escalation

Trigger upsells based on user behavior within the Talking Website Widget. For example, a chat captured late at night triggers an offer for AI Phone Receptionist.


Assumptive Anchoring Pricing

Anchor pricing against current website spend (e.g., ~$400/mo for LocalSearch) to make the offer more appealing. Highlight the added value of AI features.


Poach Pipeline Email Sequence

A 5-email sequence designed to convert leads from outdated website solutions. It focuses on diagnosing problems, agitating pain points, providing proof of a better solution, anchoring the offer, and showcasing case studies.


Competitor Poaching Strategy: Website Re-platforming

Targeting clients of competitors (e.g., LocalSearch, Sensis) by offering a superior website platform (AI-powered, faster, better SEO) while addressing common objections and highlighting the competitor's weaknesses. Includes offering a free hosting period to offset existing contracts.


AEO (AI Engine Optimization) as a Differentiator

Optimizing websites not just for traditional SEO but also for AI-driven search (ChatGPT, Google Gemini) by using structured data (JSON-LD Schema) with FAQ answers. Focuses on conversational queries.


Moat Creation: Making Churn Mathematically Painful

Strategies to reduce churn by creating dependencies and pain points for leaving the platform. This includes AI receptionist learning, number porting, and review flow management.


Website Poach Dominator

A strategy to systematically displace incumbent website providers for Australian tradies (SMB/trades) by offering superior value at matching prices, starting with website replacement as the entry wedge and graduating them through an upsell ladder.


Initial Website Replacement Offer

Lead with an offer to replace existing, overpriced websites (e.g., LocalSearch at $400/mo) with a faster, more customizable website using 10Web for a significantly lower cost (~$10-20/mo).


Heatmap Audit and Targeting

Use the automated heatmap audit tool to identify tradies with poorly performing websites and their current website providers, estimating their monthly spend. Target those paying high prices for low performance.


Graduated Upsell Funnel

After successfully replacing the website, graduate customers through an upsell ladder featuring ReceptionistAI's other products (AI voice receptionist, AI review generator).


Competitor Website Displacement Strategy

A strategy to acquire tradie clients by cloning their existing websites from competitors like LocalSearch/Sensis, improving speed and offering additional value-added services at a competitive price.


Graduated Upsell Ladder

A tiered product offering ranging from a free heatmap audit to a full suite of services including website hosting, AI receptionist, review generation, and priority support. Each tier builds upon the previous one, offering progressively more value and features.


10Web Automation Pipeline

An automated system for cloning tradie websites using 10Web, improving their speed, and generating before/after comparisons. The pipeline should handle lead data, automate the cloning process, and identify areas requiring human review.


AEO (AI Engine Optimization) as Differentiator

Positioning the company as experts in AEO (AI Engine Optimization), highlighting its difference from traditional SEO and emphasizing its importance for ranking in both search engines and AI platforms like ChatGPT. Automate AEO optimizations where possible.


Creating a Moat - High Switching Costs

Increase customer retention by creating high switching costs. Key components are hosting, AI receptionist, review generator, analytics history, and phone number management.


Composable Pricing Architecture for Tradies

Design a pricing model for ReceptionistAI that offers standalone products, smart bundles, and maximizes revenue per customer by catering to diverse needs and willingness to pay.


Automated Heatmap Audit as Lead Magnet

Utilize the automated heatmap audit tool to scrape websites, generate branded PDF reports, score sites (0-100), and detect current providers and spending as a free lead magnet.


Genesis Genome Project: Session DNA Encoding

A system that treats each AI session as an organism with a Session Genotype (DNA) of ~2-5KB and a Session Phenotype of ~200KB. Epigenetic markers ensure relevant information expression based on the current mission, providing continuity and efficient inheritance.


Session Genotype/Phenotype Model for State Management

Encoding session state as a Genotype (compressed data) and Phenotype (full context) to enable efficient state reconstruction and inheritance between sessions.


Minimal Genome Design

A structured representation of the session's identity and state, comprised of core genes (META, MISSION, AGENTS, BLOCKERS, DECISIONS, ENTITIES, RELATIONSHIPS, STYLE) organized on chromosomes.


Two-Tiered Encoding Scheme

Using JSON for development and debugging, and a compiled binary format (Protocol Buffers) for storage and transmission, alongside a concept vocabulary for compression.


Inheritance and Mutation Mechanism

Storing only the changes (mutations) from the parent session using JSON Patch (RFC 6902) to represent the delta between session states.


Error Correction and Redundancy

A multi-layered system using redundancy (gene duplication), checksums (proofreading with SHA-256 hashes), and a repair mechanism (DNA Polymerase) to ensure data fidelity.


Epigenetic Context Tagging

Tagging information (alleles) with an `epigenome` object to provide dynamic, relevant context during session startup.


Genesis AI Memory System

A robust, efficient, and dynamic memory system for AI, inspired by biological genetic principles. It features compression, fidelity, inheritance efficiency, error correction, context-dependent expression, fast folding, integrity tracking, and recombination support.


Delta-Chaining for Compression

Utilizing delta-chaining alongside Protobuf and concept vocabularies to achieve significant compression of data (e.g., 200KB to <2KB).


Source-of-Truth Repair

A method for achieving high fidelity (>95%) through a deterministic folding algorithm and a source-of-truth repair mechanism.


Cross-Project Merge Workflow

Designed to support recombination of information within the AI memory system.


Audio Doctor: Universal Audio Diagnostic & Repair Engine

A universal audio diagnostic and repair engine for Genesis Voice Products. It includes a browser-based diagnostic decision tree and intelligent device selection based on scoring heuristics.


Browser-Based Diagnostic Decision Tree

A decision tree implemented in the browser to quickly diagnose audio issues. It uses status codes (GREEN, YELLOW, ORANGE, RED) to indicate the severity of the problem and includes checks for API availability, permission state, device enumeration, stream validation, and signal quality.


Intelligent Device Selection Strategy

A strategy for selecting the best audio device when multiple devices are available. It uses scoring heuristics based on user preference, device type priority, Windows default device handling, and active signal score.


Bluetooth Audio Profile Management: Detection & Mitigation

Direct control of A2DP/HFP profiles is impossible from the browser. The strategy is detection of profile switches and mitigation of associated issues like latency spikes and dropouts.


Bluetooth Health Monitor

A system for monitoring Bluetooth audio health using latency tracking, dropout detection, and signal strength proxy (WebRTC only).  Uses `audioContext` and `RTCRtpSender.getStats()`.


Auto-Recovery Strategies for Bluetooth

Strategies for auto-recovering from Bluetooth issues like profile switch hangs (UI notification, stream restart) and high jitter/packet loss (user warning, suggest moving closer).


Real-Time Audio Health Monitoring

A continuous audio health monitoring system using `ScriptProcessorNode` or `AudioWorklet` to track RMS amplitude, clipping rate, silence percentage, packet loss (WebRTC), and jitter (WebRTC).  Defines thresholds for green/yellow/red status and auto-recovery actions.


3-Level Auto-Recovery System

A tiered approach to audio problem recovery: Soft (internal adjustments), Moderate (user guidance), and Hard (intervention, diagnostics).


Cross-Platform Diagnostic Engine

A universal API (`AudioDoctor`) for audio diagnostics with platform-specific adaptations (`PlatformAdapter`) to handle differences in device enumeration, battery optimization, default device handling, and permissions.


Self-Healing Audio Pipeline

An event-driven system for audio pipeline resilience, using `navigator.mediaDevices.ondevicechange`, `stream.oninactive`, and `track.onended` to detect and react to device changes and stream failures.


Audio Doctor Diagnostic Engine

A system to diagnose and resolve audio device issues. It features progressive disclosure of UI based on severity, an embeddable widget design, data collection for learning, and tailored integration with Genesis products.  Levels include Silent Auto-Fix, Gentle Toast, Blocking Modal, Guided Walkthrough, and Human Escalation.


Progressive Disclosure UI/UX for Audio Diagnosis

The principle of showing users only what they absolutely need to know, with increasing complexity based on the issue's severity.  Levels range from silent auto-fixes to guided walkthroughs and human escalation.


Embeddable Audio Diagnostic Widget

A modular, embeddable UI widget for audio device diagnosis. Built with TypeScript, Preact/SolidJS, and Vite.  It uses a Shadow DOM for isolation and provides a Javascript API for integration. It consists of core, analyzer, UI, recovery and reporter modules.


Data-Driven Audio Diagnostic Improvement

Utilizing a data collection pipeline to gather analytics on audio diagnostic sessions. This data is used to identify problematic devices, common errors per platform, and the effectiveness of the diagnostic tool.


Tailored Integration of Audio Diagnostics

Adapting the audio diagnostic widget for different Genesis products (Talking Widget, AIVA, ReceptionistAI) with varying policies and levels of recovery aggressiveness.


Gemini 3 Flash Integration for Agent-as-a-Service Dominance

Architect the complete monopolization of the Agent-as-a-Service and AI automation market through insurmountable technological superiority by fusing Gemini 3.0 Flash with the existing production stack.


Neuro-Sensory Matrix with Gemini 3.0 Flash

Fuse Gemini 3.0 Flash into Genesis to collapse the disjointed boundaries of the system into a single, continuous Neuro-Sensory Matrix, leveraging omnimodal compounding for combinatorial capability emergence.


Synchronous Conversational Browsing

Transform the browsing experience with Gemini 3.0 Flash by enabling synchronous conversational browsing. The AI listens and watches simultaneously, responding natively while navigating, acting as a digital co-pilot.


Bypass Tri-Layer Fallback Architecture

Dismantle the legacy bridging architecture (Tri-Layer fallback) for the real-time synchronous loop, establishing a persistent Node.js WebSocket/WebRTC tunnel bridging the Telnyx SIP infrastructure directly to the Gemini Multimodal Live API.


Gemini 3.0 Flash

Collapses voice and browser orchestration into a single compute cost, utilizing aggressive multimodal pricing and eliminating intermediate orchestrator tokens and third-party STT/TTS fees.


Uncapped Minute Plans

Offer uncapped minute plans due to the cost reduction achieved by Gemini 3.0 Flash, making it economically infeasible for competitors to match.


Semantic-Visual RAG

Shift from semantic text retrieval to Semantic-Visual RAG (Retrieval-Augmented Generation) using Gemini 3.0 Flash, weaponizing visual spatial reasoning with deep, historical, proprietary strategy.


Sunaiva Radar with Visual Benchmarking

Enhance Sunaiva Radar with visual benchmarking and UX auditing by processing screenshots of prospect's sites and querying the Bloodstream, allowing for evaluation of visual hierarchy, whitespace usage, and color psychology.


Bloodstream Memory Layer

Utilize Bloodstream Memory Layer (Elestio PostgreSQL, Redis, Qdrant Vector Embeddings, MCP Protocol) with Gemini 3.0 Flash for memory retrieval, currently relying on textual triggers.


Gemini Context Caching

Load the entire strategic methodology into Gemini Context Caching, because the 291 Deep Think frameworks and 1,929 axioms are relatively static, Inference happens in milliseconds.


Zero-Touch Sales Pipeline Acceleration

Collapsing the sales funnel into a single, continuous, synchronous thought process governed by a single persistent model state, leading to autonomous, real-time generative closing.


Gemini 3.0 Flash

Leveraging Speed/Latency, Native Code Execution, and Extended Context State synchronized with Simli Trinity-1 Avatar Layer and Stripe API for a hyper-personalized sales experience.


ADK Unified Agent Framework

Replacing patchwork architecture (Playwright MCP + browser-use + Crawl4AI + custom scripts) with a single framework.


Instant Visual Radar

Executing the initial customer website scan via visual inference in under 4 seconds, eliminating crawling wait times.


Instant Avatar Handoff (Generative Video)

Immediately dropping the prospect into a live WebRTC meeting room via the Simli JS SDK with a personalized script.


Omniscient Brain (Sub-Second Response)

Processing user's WebRTC audio natively, adjusting pitch instantly based on Bloodstream axioms.


Dynamic Auto-Close

Dynamically adjusting offer based on prospect's visual cues and generating a custom proposal page with Stripe API integration.


Proprietary Contextual Density (Data Moat)

Leveraging 2,236 knowledge items and persistent memory to create an un-counterfeitable, compounding data moat.


Google ADK as the central SDK

Google ADK becomes the central SDK for the Genesis system, subsuming existing tools and providing native capabilities like ComputerUse, CodeExecution, and SearchGrounding.


Hierarchical Specialist Topology Migration

Migrate from custom LangChain/Autogen routing to ADK native agent definitions, creating a Hierarchical Specialist Topology with a Root Orchestrator and specialized sub-agents.


Fleet-Wide Auto-Healing with Visual UI Understanding

Implement true visual understanding of UIs using Gemini 3.0 Flash's agentic vision to enable fleet-wide auto-healing when websites change, propagating fixes without retraining.


Lux Vision Recovery Mode

Agent falls back to vision to discover UI changes, propagates fix to all agents without retraining using visual concept healing.


Dynamic Model Routing (LLM Gateway)

Routing tasks based on the mathematical intersection of capability, speed, and token cost to maximize strategic advantage. Operate a high-frequency trading algorithm for intelligence.


Intelligent Router (LiteLLM/Custom ADK)

An intelligent router (e.g., LiteLLM or custom ADK middleware) at the edge of the AIVA queen agent that profiles the intent of the task and dispatches it to the optimal LLM.


Multi-Model Arbitrage anchored by Gemini 3.0 Flash

Mastering multi-model arbitrage anchored by Gemini 3.0 Flash to reduce COGS and offer high-margin, uncapped subscriptions, pricing competitors out of the market.


Vertex AI Enterprise Shield

Utilizing Google Cloud Vertex AI Enterprise Shield to capture Fortune 500 capital by addressing InfoSec, Compliance, and Data Sovereignty concerns.


Anti-Fragile Network Effect

System gains reliability over time as the client base grows, edge cases are encountered, visual solutions are cached, and the service becomes more unbreakable. New competitors start with zero axioms; the fleet has thousands.


VPC-Enclosed Swarms

Deploy the Genesis ADK, Bloodstream, and Gemini 3.0 Flash instances within a Virtual Private Cloud (VPC) Service Control for military-grade enterprise autonomy.


Sovereign Enterprise Pricing Strategy

Wrap the product in a Vertex AI VPC and explicitly offer: 'Genesis Sovereign Enterprise: Your data never leaves your VPC.' Transforms a $497/mo subscription into a $4,997/mo to $15,000/mo Enterprise Autonomous Deployment.


Phase 3 B2B Focus

Maximize the consumer APIs to build a war chest and secure 5-10 solid mid-market B2B case studies before transitioning to enterprise solutions.


Automated Deployment Pipeline to Vertex AI

Architecting an automated deployment pipeline into Vertex AI inherits Google Cloud's security posture, turning InfoSec into a competitive moat.


Omniscient Shadow Auditor

A browser agent that watches a customer USE their own software and generates optimization recommendations in real-time.


Real-Time Visual Competitive Warfare (Panopticon)

Weaponized, real-time competitive intelligence during live negotiations leveraging Gemini 3.0 Flash, Agentic Vision, and live Google Search grounding.


Omniscient Session Continuity

Flawless memory across all modalities and time, achieved via Context Caching and the large context window of Gemini 3.0 Flash.


Gemini 3.0 Flash: Self-Coding Arsenal

An AI system that autonomously expands its codebase to solve unforeseen problems by creating and integrating new tools on the fly. Demonstrates ability to create custom scripts to bypass security measures and save them for future use.


Genesis Architecture w/ Gemini 3.0 Flash

Integration of Gemini 3.0 Flash into the existing Genesis architecture, leveraging the Bloodstream and zero-touch pipeline. Aims to unify Voice, Memory, Browser, Avatar, and Product layers into a cohesive biological entity.


Unification of Digital Organism

Strategy to bind Voice, Memory, Browser, Avatar, and Product layers into a single cohesive digital organism using Gemini 3.0 Flash.


Gemini 3 Ultrathink Integration

Integration of Gemini 3 as a Multimodal Agentic Operating System (MAOS) within the Genesis Production System, moving beyond its current role as a discrete API endpoint to enable Level 10 emergence and a self-replicating economic engine.


Dynamic Cognitive Routing & Deterministic ADK

Implementing Dynamic Cognitive Allocation and Engine-Level Schema Enforcement using Google's Agent Development Kit (ADK) to optimize compute resources and ensure deterministic outputs. Moving away from raw REST/prompt-based API calls.


P4 Sunaiva Radar Supercharger

Level 1 accelerates P4 Sunaiva Radar by verifying, scoring, and passing payloads to the video generator instantaneously, handling thousands of concurrent requests without linear compute scaling using Dynamic Cognitive Routing & Deterministic ADK.


Gemini Context Caching API

API that injects the entire PostgreSQL/Qdrant Bloodstream, JSONL axioms, and entity relationships into an active TPU memory cache for Gemini models, bypassing traditional semantic search and enabling perfect institutional awareness.


genesis-core MCP Server (Bloodstream Synchronization)

A dedicated server synchronizes the PostgreSQL/Redis state to the Gemini Cache every 60 minutes via a background worker, ensuring the Gemini model has up-to-date information.


Agentic Vision + Computer Use API

Gemini 3 natively features Agentic Vision combined with the Computer Use API to visually map the screen, understand UI element relationships, and execute coordinates directly, bypassing reliance on brittle DOM CSS selectors.


P3 Browser Agents AaaS

Allows Genesis to log into obscure software/portals, read the screen visually, and perform data entry autonomously, automating tasks previously done manually.


Upsell P1 AI Memory MCP

Partition the Context Cache architecture and sell clients their own sub-millisecond, highly intelligent active memory layer for their specific CRMs.


Fractal Swarm Orchestration with Gemini 3 as Supreme Court

Orchestrates multiple AI models (Claude Opus, Gemini 3 Pro/Flash, Kimi/MiniMax) in a Directed Acyclic Graph (DAG). Claude Opus acts as the orchestrator, Gemini 3 Pro handles complex edge cases, and Gemini 3 Flash handles visual/spatial tasks. This eliminates single points of failure and optimizes compute costs by using cheaper models for the majority of tasks.


Voice-Vision-Browser Trinity for Omnimodal Reality Synthesis

A real-time, simultaneous multimodal streaming system using the Gemini Multimodal Live API (Bidi WebSockets). Streams audio and video data directly from Telnyx and Playwright into Gemini, bypassing text transcription.  Enables AI to act as a digital employee, observing a screen, talking, and interacting with a browser simultaneously.


Asymmetric Model Delegation

Delegates tasks to different AI models based on their strengths.  Opus orchestrates, Gemini 3 Pro for deep think, Gemini 3 Flash for speed.


Self-Correcting Cognitive Hierarchy

Employs multiple, specialized AI models to leverage their aggregate strengths and compensate for individual weaknesses.


Alpha Evolve Protocol

A self-improving system that rewrites its own prompts, updates code, and pushes Git commits autonomously using Deep Think and Jules Pro CI/CD testing environment.


Synaptic Hivemind

A real-time, synchronous hive-mind across agents leveraging Redis Pub/Sub and Context Cache Patching to share knowledge.


Pre-Crime Lead Generation

System using Native Google Search Grounding API to actively monitor the web, predicting customer needs.


Context Cache Patching

Dynamically patches the global cache without rebuilding the entire object using Redis Pub/Sub when an agent learns something new.


Algorithmic Humanity: Level 9 Strategy

Level 9 focuses on creating an 'invisible infrastructure' where the AI Avatar is perceived as biological, using Native Code Execution for accurate calculations, Latency Masking with filler tokens to mimic human pauses, and Dynamic Prosody Generation. This aims to build trust and lower psychological sales defenses, significantly increasing conversion rates.


Latency Masking

Latency Masking is a technique that uses Gemini to output a dual-stream JSON (semantic text + SSML) and generate filler tokens timed to match the latency of database queries or tool execution. This simulates natural pauses and enhances the perceived realism of the AI.


Ouroboros Loop (JITSG): Level 10 Strategy

Level 10 introduces Just-In-Time Software Genesis (JITSG), where Genesis designs, codes, tests, and sells entirely new software products on the fly during a live sales call. This involves detecting customer needs, orchestrating Deep Think (Gemini 3) and Jules Pro to engineer and deploy solutions, and dynamically creating Stripe products.


Just-In-Time Software Genesis (JITSG)

JITSG is a system where AI constructs bespoke software for clients live on sales calls. A pipeline includes: detection of customer need -> orchestration with Claude Opus triggering Gemini 3 Deep Think -> code generation with Python/FastAPI -> testing/deployment with Jules Pro -> dynamic product creation and payment processing with Stripe.


Gemini Multimodal Live API + Context Cache

Connect Telnyx WebRTC trunks directly to the Gemini Live API and bind that session to the Bloodstream Context Cache for low-latency voice/vision execution.


Context Cache Patching (update_mask)

Natively patch the active context cache, allowing the Bloodstream to be a living, breathing object with zero rebuild overhead.


Hybrid LLM Orchestration

Use Claude Opus as the top-level Orchestrator (CEO) to dictate *what* happens; use Gemini to dictate *how* it happens and *execute* it natively.


Ouroboros Loop

Activate the Ouroboros Loop, allowing the AI to invent and sell its own software, creating an autonomous, self-replicating digital enterprise.


Browser Agent Perception Abstraction

Architect P3 Browser Agents to abstract the 'perception' layer so screenshot vision can be swapped for native-DOM-vision seamlessly as new models emerge.


Sovereignty Loop: Titan-RLM Synthesis for Trustless Delegation

Combining RLMs (Infinite Algorithmic Processing) with Titan hardware (Absolute Cryptographic Security) to enable trustless delegation in autonomous business processes. Enables secure AI processing of sensitive data.


Titan Confidential Space for Secure AI Processing

Utilizing Google Titan Confidential Spaces to create secure enclaves for processing sensitive data with AI. Ensures data privacy and compliance with regulations.


RLM Swarm for Parallel Data Processing

Employing an RLM swarm architecture, where a root controller (Gemini Pro) spawns multiple worker AI agents (`gemini-3-flash`) to process data in parallel within a secure enclave. Significantly speeds up data processing.


Genesis as a Sovereign, Infinitely Scaling Intelligence

Reframing Genesis from software to a sovereign synthetic intelligence by treating Gemini 3 Pro as an OS Kernel, RLM as a multithreading scheduler, Flash models as CPU cores, and Titan as secure hardware.


Single Product Focus: Talking Website Widget

Focus on a single product, the Talking Website Widget, sold via an agency channel partnership model, as the fastest path to $1,000 MRR and beyond. All other products should be killed or paused.


Agency Channel Partnership Model

Leverage agency channel partnerships to scale sales efforts. Instead of direct sales to individual businesses, partner with agencies who already have access to a large client base.  Agencies receive a 30% recurring commission.


4-Week Sprint to $1,000 MRR

Aggressive 4-week plan to achieve $1,000 MRR focusing on building the MVP widget, deploying a landing page, launching outreach to agencies, conducting demos, and closing partnerships.


Channel Partner Acquisition for Initial Revenue

Focus on acquiring agency partners to rapidly acquire customers and generate initial MRR. Target 200 agencies with email outreach, aiming for a 10% meeting rate and a 10% partner close rate.  Prioritize this over direct customer acquisition initially.


Talking Widget Focus

Dedicate all AI Swarm resources to the Talking Widget for the next 4 weeks. This is the priority product.


Prioritize Speed to Revenue and Validate

Focus on the fastest path to revenue, even if it involves manual processes initially. Automate only after the process is proven and validated. Delay complex, longer-term projects.


Paused/Killed Features

Sunaiva AI Memory Vault, ReceptionistAI, ClawdTalk / Voice+Memory, and L1-L4 Agent Tiers are to be paused or killed to focus on widget. L1-L4 repurposed as foundation


Hardware-to-Software Stack Monopoly

The strategic advantage derived from owning both the hardware (secure enclave - Google Titan) and the software (AI validation patents) layers, creating a defensible market position.


Sovereign Trust Chain

A system combining Google Titan attestation, cryptographic validation of AI logic (P1), and immutable audit trails (P4) to create legally defensible proof of cognitive fairness.


Focus on Cognitive Integrity, Not Infrastructure Integrity

Strategic emphasis on the validation of AI outputs (truth, fairness) rather than the security of the underlying infrastructure, recognizing the higher relevance for enterprise clients facing AI bias lawsuits.


Trap Continuation Strategy (Sniper Patent)

File a Continuation-in-Part (CIP) claiming the method of Cryptographic AI Validation executed within a Hardware Trusted Execution Environment (TEE), mathematically binding the algorithmic validation hash to the hardware attestation token. This creates a "sniper patent," forcing cloud providers to license the IP for secure AI validation.


Hardware-Agnostic Algorithm Deployment

Draft patent claims broadly to cover algorithms regardless of the underlying hardware (Google Titan, AWS Nitro, local silicon).


Attestation Bind System

Ingest Google Confidential Space 'Hardware Attestation Tokens' and write them directly into the JSON payload of Patent #4 (Immutable Audit Trail). Combining hardware cryptographic signature with AI logic signature makes the system legally defensible.


Financial Stack Shield (Titan Enclave Execution)

Structure the RLM swarm for PP1 (Math Proof of Minimum Fee) and PP4 (Liquidity Synthesis) to execute the financial math entirely inside the Titan enclave, ensuring output fee is mathematically proven and physically untampered.


Hardware-Backed Algorithmic Proof Marketing

Update pitch decks to highlight 'Hardware-Backed Algorithmic Proof'.


OpenClaw Integration Strategy

Strategy to integrate OpenClaw into the Genesis system while mitigating its security vulnerabilities. It involves using OpenClaw as the execution engine, quarantining it within secure enclaves, and employing patent-enforced security firewalls to validate and control actions.


SecureClaw

A secure implementation of OpenClaw that runs inside Google Titan hardware enclaves, cryptographically validating every action using Genesis's AI security patents. This provides a secure solution for enterprises wanting to leverage OpenClaw's capabilities.


Sterilized Claw Protocol

Implementation guidelines for safely using OpenClaw. This involves Titan Quarantine with MCP Bridge, ClawHub Embargo, and Patent-Enforced Security Firewall. Prevents direct usage on bare metal and blocks external skills.


OpenClaw as Motor Cortex

Defines OpenClaw's role as the 'hands and nervous system' of Genesis, responsible for execution but not reasoning or data processing. Claude Opus acts as the orchestrator, Gemini 3 Pro handles reasoning.


OpenClaw + RLM Swarm

A system where OpenClaw acts as the high-speed I/O for the RLM Swarm. OpenClaw gathers data; the RLM Swarm processes it, and OpenClaw executes actions based on the RLM's analysis. This division of labor aims to prevent context blindness in OpenClaw and paralysis in the RLM.


Strict Asymmetric Delegation

Genesis Epoch 3 enforces a strict asymmetric delegation where OpenClaw (peripheral nervous system) focuses on high-speed I/O and the RLM Swarm (cerebral cortex) handles deep-thought processing.  Prevents either system from trying to do the other's job.


Patent Firewall

A security layer comprised of multiple patents (e.g., Hallucination/Injection Detection, Cryptographic Validation, Risk Assessment) to protect the system. Applied between OpenClaw and RLM interaction in both directions to validate data and execution safety.


Autonomous Acquisition Loop

A 6-step process for autonomously acquiring enterprise clients, involving scent detection, sensory ingestion, cognitive fracture, hyper-parallel actuation, striking, and digestion (closing the deal). Relies on AI agents and tools.


JITSG Ouroboros Loop

A pattern for building and deploying missing product features live during the sales call by dynamically generating, testing, and deploying code in real-time.


Fleet Intelligence Network

A system for enabling 1000+ deployed agents to learn from each other without breaching data sovereignty. Uses homomorphic sanitization and Redis Pub/Sub for sharing knowledge.


Immune System

A system for threat neutralization, specifically addressing prompt injection attacks through a blood-brain barrier and hallucination/injection detection mechanisms.


Alpha Evolve Protocol

A daily evolutionary process using AI to optimize sales and code execution. It involves culling underperforming assets, mutating top performers, testing them, and deploying the best.


Autonomous Acquisition Loop

An AI-driven system for acquiring customers without human intervention. It uses OpenClaw to target the Fortune 500, with Claude Opus 4.6 initiating the loop.


Bootstrapped Growth

The strategy of achieving market dominance without external funding by leveraging advanced AI automation for sales and product development.


Zero Human Headcount Scaling

The business model aims to scale revenue without proportionally increasing human headcount, enabled by AI-driven automation of key processes.


Website Replacement Trojan Horse

Target a resented existing line item, offer a superior version for the same price, and include proprietary AI tech as a 'free' differentiator. Controlling their domain hosting grants control over their digital presence, enabling frictionless Voice AI integration.


Intent-Triggered Pipeline

Email at volume, but only clone high-intent sites (those who click heatmap links) within 2 hours, fix formatting, and send a follow-up email with the staging link.


Event-Based Upsell Escalation

Trigger upsells based on specific events (e.g., Talking Widget captures a chat at 8 PM) rather than fixed time intervals.


Assumptive Anchoring Pricing

Anchor pricing against the tradie's current spend (e.g., LocalSearch invoice) to make the offer more appealing.


Website Poaching Strategy

A strategy to acquire clients from competitors by highlighting their website's shortcomings and offering a superior alternative with AI integration, focusing on speed, Google ranking, and AI-powered lead capture.


AEO (AI Engine Optimization)

A system of structuring websites to be favored by AI assistants (ChatGPT, Apple Intelligence, Google Gemini) for conversational queries, through automated generation and injection of JSON-LD Schema markup.


The Moat: Client Retention Strategy

A client retention strategy involving locking clients in through AI learning, number porting, and review generation to make switching providers difficult and painful.


The Buyout Offer

Offer to host the new AI site for FREE until the client's LocalSearch contract ends. Clients just pay for the Voice AI usage. Point the domain to faster servers.


Website Poach Dominator Strategy

A strategy to systematically displace incumbent website providers for SMB/trades markets by offering a superior website solution at a competitive price, using the website replacement as an entry point for a graduated upsell funnel.


Heatmap Audit Tool

A tool that scrapes PageSpeed, Brave, and SEO data to generate a branded PDF report with a score (0-100), used to identify potential clients with poorly performing websites and their current website providers.


10Web AI Website Builder

An AI-powered website builder (10web.io) offering automated website cloning, WordPress-based customization, API access, and hosting at a low cost (~$10-20/month), used as the foundation for the website replacement offering.


Entry Wedge: Website Replacement

Prioritize selling website replacement as the initial offer to potential clients, rather than starting with voice AI features. This serves as a lower-friction entry point for the upsell funnel.


Graduated Upsell Funnel

After acquiring clients through website replacement, implement a graduated upsell funnel to introduce and sell additional services, such as AI voice receptionist, AI review generator, and other related offerings.


Competitor Displacement Strategy

A strategy focused on displacing tradies from existing website providers like LocalSearch and Sensis by cloning their existing sites, improving speed and offering additional features, such as AI voice widgets, AI receptionists, and review generators.


Graduated Upsell Ladder

A tiered pricing model starting with a free heatmap audit and progressively adding features like website replacement, AI voice widget, AI receptionist, review generator, and priority support to increase customer lifetime value.


AEO (AI Engine Optimization) Differentiator

Positioning the company as AEO experts, optimizing for Google and AI platforms (ChatGPT, Gemini, Claude), to differentiate from competitors focused solely on SEO.


Poach Email Sequence

A sequence of outbound emails designed to displace competitors. This includes a free website report, speed impact education, a rebuilt site demo, a comparison offer, and a social proof case study.


10Web Cloning Automation

Automating the website cloning process using 10Web or alternative tools (HTTrack, wget, Screaming Frog) to efficiently replicate competitor sites, improve speed, and host the clone for demo purposes. Key decision points: level of automation, handling costs, and dealing with potential quality issues.


Composable Pricing Architecture

Design a pricing model with standalone products and smart bundles to maximize revenue per customer, catering to diverse customer needs and willingness to pay.


Diverse Customer Needs

Different tradies have different needs and priorities: some want everything, some want a single module, some want to start small.


Match and Exceed Current Spend

Tradies are already paying for websites; pricing should match and exceed their current spend, not undercut it.


Composable Pricing for Tradies

Developing a flexible pricing model for tradies, moving beyond rigid tiers. This includes standalone product pricing, bundle architecture, entry wedges, upsell strategies, and displacement strategies against competitors like LocalSearch and Sensis.


Bundle Architecture Design

Designing 3-5 recommended bundles catering to common tradie needs, offering genuine discounts compared to standalone purchases, and having clear, memorable names. A 'Build Your Own' bundle option is also considered.


Entry Wedge & Upsell Engine

Utilizing the free heatmap audit as an entry point, followed by targeted product/bundle recommendations based on audit data. Automation of upsell triggers based on usage data is planned.


LocalSearch/Sensis Displacement

A specific pricing and marketing strategy designed to displace tradies currently using LocalSearch/Sensis, potentially by matching or beating their prices, or subsidizing early contract termination fees.


Tradie Math ROI Framework

Calculating the ROI of each product in terms understandable to tradies, using industry data to provide real and specific numbers related to lost revenue from missed calls, slow websites, etc.


Composable Pricing for Tradies

Develop a composable pricing strategy targeting tradies in the Australian market, maximizing revenue per customer with tiered product offerings and custom bundles. Focus on simplicity, direct communication, and high-touch onboarding for initial customers.


GHL-Extendly Backend for CRM/Automation

Utilize GoHighLevel (GHL) for CRM and automation, supplemented by Extendly for snapshots, as the core backend system.  This provides the foundation for managing customer interactions and delivering automated services.


Manual Onboarding then Automation

Focus on manual, high-touch onboarding for the first 5-10 customers to ensure successful adoption and gather feedback.  Transition to automation for scalability after initial validation and process refinement.


Develop Objection Handbook

Create an Objection Handbook with the top 15 objections tradies raise, along with effective rebuttals for each product. This will equip the sales process with proactive responses to common concerns.


Automated Upsell Engine

Build an automated upsell engine with triggers to expand customer accounts over time. This proactively identifies opportunities to offer additional value and increase revenue per customer.


Composable Pricing

A pricing strategy that allows the customer's specific pain point to dictate the entry point, while automation silently expands their account over time, moving away from rigid tiered pricing.


Standalone Price Anchoring

Setting standalone prices aggressively high to capture maximum margin from single-issue buyers and create a decoy effect, making bundles look like great deals.


Outcome-Based Bundle Naming

Naming bundles based on the outcome they provide to make the bundle pricing more attractive and drive users to select bundles over standalone products.


Progressive Discount UI

A user interface built with GHL forms that offers increasing discounts based on the number of products selected, creating a psychological trap to encourage upselling.


Automated Triage

Using a free Heatmap PDF to sort leads and dictate the exact entry pitch via GHL automation, tailoring the initial offer based on detected pain points.


Displacement Playbook: Switching Subsidy

Offer free hosting of the new website until the client's existing contract with a competitor ends, provided they purchase another service (AI Voice Receptionist). This strategy aims to capture the client immediately while mitigating contract concerns.


Poach Email Sequence

A 5-email sequence designed to convert prospects from LocalSearch by highlighting site speed issues, demonstrating a rebuilt site, and offering a price-matched composable offer.


AI Review Generator

Automatically texts clients for 5-star reviews after payment.


Missed Call Text Back

Instantly texts anyone whose call is not answered.


AI Phone Receptionist

An AI-powered system that answers calls 24/7, sounds human, and can book jobs.


Upsell Engine (Trigger-Based)

Upselling is triggered by 'pain events' captured in GoHighLevel (GHL), e.g., multiple missed calls trigger an upsell offer for the AI Receptionist.


Asset Extraction

Instead of copying code, extract the client's logo, photos, and text (IP) from the existing site.


Composable Pricing Strategy

A pricing model that blends single-tool purchases with bundled offerings, aiming for an ARPC of $550/mo, including higher-value clients at $997/mo.


The Agency Escape

A sales pitch targeting clients of traditional agencies, offering a $397 bundle to replace their existing website and services.


GHL Automated Upsell Triggers

Automated upselling system using GoHighLevel (GHL) to expand client accounts and increase Average Revenue Per User (ARPU).


Phone Number Trust Architecture

A comprehensive strategy encompassing technical, psychological, and onboarding elements to encourage tradies to connect their phone number to the AI system. It aims to overcome friction points related to technical complexity, fear of losing control, trust deficit, SMS identity problems, and the two-number mess.


Porting vs. Call Forwarding Decision

Decision to prioritize porting for maximum capability and lock-in, versus call forwarding for minimum friction but degraded experience. The document leans towards a single 'best way' approach (porting) despite the initial trust hurdles.


Trust-Building Sequence for Number Connection

A phased approach to building trust before porting: Day 1: demo, Day 3: trial with forwarding, Day 14: port for full capabilities.  Focus on a guarantee of easy porting back, proof of AI value before commitment, and demonstrating ongoing control.


Missed Call Text Back (MCTB) Architecture

A system to automatically text back after a missed call.  Detection methods: call forwarding, carrier API (unlikely), Telnyx events (if ported).  Aim for <60 second response time. Optimize text message content & consider linking to booking/chat.  Handle repeat calls to avoid spam.  Escalate to AI call if no reply.


Number Trap as a Valuable Feature, not Lock-In

Frame porting as an upgrade by unlocking additional capabilities (voicemail transcription, call recording, advanced routing). Be transparent about number portability and the ability to get the number back.  Focus on the VALUE gained by porting instead of purely stickiness.


Competitor Analysis Focus

Analyze competitors (Smith.ai, Ruby Receptionists, Podium, GoHighLevel, Bland.ai/Vapi.ai/Air.ai, Rosie.ai, Goodcall.ai, AnswerConnect/AnswerForce) to understand how they handle phone number connection, MCTB, and AI integration.


Phone Number Acquisition Strategy

A comprehensive strategy for acquiring phone numbers, including recommendations, technical architecture, onboarding flow, trust building, website copy, guarantees, objection handling, technical flow, ethical considerations, and competitor analysis.


MCTB Architecture

Technical flow diagram of the mechanism, channel, trigger, and benefit architecture for phone number acquisition.


Number Trap Ethics

Ethical guidelines for locking in customers without being manipulative or evil during the number acquisition process.


Managed Porting with Instant Forwarding Bridge

A two-phase strategy for number porting. Phase 1: Instant Forwarding Bridge using a new Telnyx number and unconditional call forwarding. Phase 2: Managed Porting in the background. This avoids downtime and builds trust.


Instant Forwarding Bridge

A temporary system using a Telnyx number to which the tradie forwards their existing number. This provides immediate service while porting occurs in the background.


Alphanumeric Sender ID for temporary SMS

When using the Instant Forwarding Bridge, use an Alphanumeric Sender ID for SMS to identify the business, as replies are not possible during this phase. State clearly that it's a temporary system.


SMS instruction via tel: link

Provide a tel: link in an SMS to tradies to initiate unconditional call forwarding with a single tap


A strategy where a new local number is provisioned and call forwarding is set up instantly, followed by a background porting process.  This is presented as a seamless process to the customer.


Two-Phase Number Porting Architecture

A two-phase technical process involving an instant forwarding bridge and a managed porting process.  Phase 1 uses call forwarding to a temporary number. Phase 2 ports the original number in the background.


Alphanumeric Sender ID for SMS During Forwarding

Use an alphanumeric sender ID for SMS messages during the call forwarding phase to mitigate the inability to send SMS from the tradie's number. The message should clearly identify the business.


Handle 1300/1800 Numbers as Higher-Tier Setup

Treat 1300/1800 number porting as a higher-tier setup requiring manual intervention due to the complexities of 'Change of Lessee/Hosting'.


Forward First, Port in Background

The overarching principle for number porting strategy. Provides zero downtime.


Onboarding Flow: Zero Friction for Tradies

A streamlined onboarding process designed for tradies, aiming to get them live with AI in under 10 minutes, focusing on automation and minimizing friction. It includes an automated AI interview, instant activation via SMS, simplified paperwork, and immediate demonstration of value through lead capture.


Trust Architecture: Psychological De-risking

A strategy focused on building trust and mitigating the perceived risks associated with adopting the AI receptionist service. This includes guarantees, immediate proof of value through an "Instant Forwarding Bridge," a clear timeline, a control panel with a "PAUSE AI" toggle, a port-back guarantee, and social proof through testimonials.


ReceptionistAI Number Shield Guarantee

A branded guarantee that ensures the customer always owns their number and can port it to another provider free of charge, with the process initiated within 24 hours.


Number Upgrade Strategy

Reframe number porting as a "Number Upgrade" to emphasize value and reduce perceived friction. Highlight benefits like two-way SMS, spam filtering, call recording, and AI summaries to justify the transition. Focus on making it valuable to stay and easy to leave.


Competitor Differentiation: Existing Number Porting

Differentiate from competitors by utilizing the tradie's existing number instead of provisioning a new number. This avoids the "two-number mess" and maintains business identity consistency.


Objection Handling: Number Porting

Anticipate and address common objections to number porting, such as concerns about losing the number, complexity, and commitment. Provide clear, concise answers and guarantees to alleviate these concerns.


MCTB Architecture

Architecture of the call flow: Caller dials TRADIE_NUMBER -> Carrier routes call to AI_NUMBER (on Telnyx) via unconditional forwarding -> Telnyx Webhook to GoHighLevel -> GHL Workflow triggers -> SMS sent to Caller via Telnyx API -> SMS logged in GHL.


FalkorDB + Graphiti Temporal Episodic Memory for AIVA

A system for storing and retrieving temporal episodic memories for the AIVA AI voice agent using FalkorDB as the graph database and Graphiti as the temporal memory layer. Designed to provide contextual information to AIVA during live calls with strict latency requirements.


genesis-voice-bridge

HTTP MCP server that AIVA connects to in order to proxy memory reads/writes to Graphiti/FalkorDB. Acts as the bridge between the Telnyx AI Assistant and the memory system.


Memory Write Pipeline

Post-call process for ingesting Telnyx conversation data into the FalkorDB graph, including handling duplicate ingestion, entity resolution, and conflict resolution.


Memory Read Protocol

Protocol for AIVA to retrieve memory from FalkorDB within a 200ms latency budget, including Cypher query design, cache pre-warming, and context injection into AIVA's system prompt.


Graph Growth Strategy

Strategy for scaling and maintaining the FalkorDB graph over time, including pruning stale facts, graph compaction, multi-tenant isolation, and index strategy.


genesis-voice-bridge MCP Server

An HTTP MCP server that exposes tools for AIVA during live calls. It connects to FalkorDB, GHL API v2, PostgreSQL, and n8n webhooks. It must operate within Telnyx's call latency constraints (under 1 second).


Tool Latency Optimization

All tools must respond in under 800ms at p99. This requires careful consideration of connection pooling, caching, and concurrency.


Tech Stack Choice: Python FastAPI

Prioritize Python FastAPI (existing Sunaiva API is FastAPI). Requires performance defense against Node.js.


Multi-tenant Isolation via GHL Sub-accounts

Each tradie is a separate GHL sub-account with separate API keys. `genesis-voice-bridge` must dynamically determine which tradie's tools to use based on `telnyx_conversation_id`.


Data Routing and Transformation

Defines the exact data transformation for each tool, including FalkorDB queries, GHL API calls, Redis caching, and PostgreSQL fallback.


DeepMind/Google Engagement Strategy for Sunaiva.ai Patents

Design an engagement strategy for DeepMind/Google to validate Sunaiva.ai's AI validation patents through collaboration, licensing, or partnership, positioning Sunaiva.ai as the AI validation standard.


Sunaiva.ai Patent Portfolio Licensing Framework

Develop a licensing framework for Sunaiva.ai's patents, considering revenue share, upfront licensing, equity swaps, exclusive/non-exclusive options, royalty rates, and field-of-use restrictions to maximize value.


Targeted Outreach to DeepMind Researchers and Partnerships

Establish outreach methods using a cold email campaign to the partnerships team, targeted LinkedIn messages for researchers, and participation in relevant AI conferences to introduce the Sunaiva.ai validation technology


Proactive Legal Preparation for Patent Disclosure

Outline legal preparation steps needed before disclosing Sunaiva.ai's provisional patents to DeepMind, including NDA requirements, prior art search, PCT international filing, and continuation patent filing.


Monetization Strategy for AI Domain Portfolio

Develop a rapid monetization strategy for a portfolio of 100 AI-related domains, leveraging existing AI infrastructure for fast product deployment and focusing on immediate cash flow generation within 30 days. Explores rental, sale, and lead generation models.


Rapid AI Product Provisioning Architecture

Infrastructure capable of spinning up a Telnyx AI assistant + GHL sub-account + 10Web site in under 45 seconds per domain, with a COGS of ~$50/month per vertical. Enables rapid deployment of AI products based on domain portfolio.


Domain Triage for Monetization

Categorize domains into four tiers: immediate development, premium parking, outright sale, and expiration. Valuation based on EMD value, search volume, CPC data, and industry size to determine the best monetization path.


EMD Rental Model for Vertical AI Assistants

Rent out EMDs (Exact Match Domains) as AI receptionists for specific verticals (e.g., dentalbotai.au). Offer AI-powered lead generation and appointment booking to businesses in exchange for a monthly fee.


Lead Generation as a Service

Alternative to monthly rental. Generate qualified leads via AI assistant and sell them to relevant businesses on a per-lead basis. Focus on high-value verticals like plumbing, electrical, and HVAC.


Domain Sales to Corporate Buyers

Identify domains in the portfolio that would attract corporate buyers (e.g., telecom companies, SaaS platforms). List domains for sale, signaling current revenue generation to increase sale price.


Zero-Touch Onboarding for Tradies

Design a complete zero-touch onboarding flow for tradies, from payment to first call answered, minimizing manual intervention and technical complexity for the customer.


AIVA Onboarding Automation

Automated system to provision services for new customers. Includes: onboarding form, provisioning automation (Telnyx, GHL), phone number strategy, communication sequence, 'first win' architecture, and repeatability design.


Phone Number Strategy for New Customers

Evaluate options for phone number assignment (porting, new number with forwarding, new number as primary) and determine the optimal approach, balancing user experience and speed of activation.


Minimal Viable Information for Activation

Identify the minimum set of information (business name, phone number, key services) required to activate the AI receptionist. Default or infer where possible.


Proactive Intelligence Stack for AIVA

A system designed to enable AIVA to proactively monitor business events, make intelligent decisions, and take autonomous actions, ultimately improving business outcomes while keeping the user (George) in control.


AIVA as Proactive Master Orchestrator

Transform AIVA from a reactive call answering service into a proactive AI assistant capable of monitoring the business, identifying opportunities/problems, and taking autonomous actions to improve efficiency and customer engagement.


Missed Call Recovery Protocol

When a call to George's number goes unanswered, immediately send an SMS: "[Business name] — sorry I missed your call. How can I help?" If no reply in 1 hour, AIVA initiates an outbound call.


Stale Lead Reactivation Protocol

If a GHL opportunity remains stuck at "New Lead" for 48+ hours, AIVA initiates an outbound call using the Telnyx AI calls API with a script: "Hi [name], this is the team from [business]. I'm calling about your inquiry..."


Emergency Escalation Protocol

When keywords in a call transcript indicate an emergency (burst pipe, flooding, etc.), send an immediate SMS to George's personal number, regardless of the time.


Decision Tree: Trigger to Action

A decision-making process: trigger (event) → assess urgency → select appropriate action → execute or escalate the action to George based on urgency, confidence level, and predefined preferences.


Review Generation Protocol

When a job is marked as 'Complete' in GHL, send a post-job SMS 4 hours later with a Google review link. If no review in 48 hours, send a gentle follow-up SMS.


Daily Business Briefing Protocol

At 7am AEST daily, send George an SMS with: calls yesterday, leads captured, bookings made, items needing attention. Format: under 160 characters if possible.


Review Generator Snapshot Architecture

Automated system for generating Google reviews post-job via SMS, including initial SMS, follow-ups, consent capture, and review reporting. Leverages GHL workflows, custom values, and SMS templates.


Missed Call Text Back (MCTB) Snapshot Architecture

Automated system that sends an instant SMS to customers who missed a call, using Telnyx for call detection and GHL workflows. Includes call deduplication, business hours filter, and routing replies to the tradie.


Snapshot Packaging and Deployment Strategy

Strategy for packaging Review Generator and MCTB as standalone GHL snapshots, including naming conventions, descriptions, Extendly marketplace deployment, and version control for updates across sub-accounts.


Zero-Technical Knowledge Activation Flow

Automated activation process for Review Generator and MCTB after payment, ensuring tradies can use the products without any technical knowledge. Includes custom value population, Google review link capture, phone number setup, and activation confirmation.


Upsell Architecture

GHL automation strategy to identify upsell opportunities for MCTB and Review Generator customers, using triggers based on SMS replies and reviews collected, with a non-pushy SMS sequence and in-app upsell options.


Support and Operations Model

Support model for Review Generator and MCTB, including self-service options for tradies, monitoring for product issues, and a defined SLA for paying customers. This also covers support issues.


Telnyx integration option for MCTB

Decision about which Telnyx integration option to use for MCTB (Webhook, AI assistant, or call forwarding), recommending one option and designing the full flow for missed call detection.


Composable Pricing Bundle Builder

Interactive UI on the pricing page enabling tradies to build custom bundles by selecting products, viewing real-time price updates, and savings. Integrates with Stripe for multi-product checkout.


Maximize Average Order Value Through Bundles

Use a composable pricing bundle builder with pre-built bundles and incentives like discounts to encourage tradies to purchase more products.


Mobile-First Design

Prioritize mobile design due to high mobile traffic (70%) from tradies.


Stripe Integration for Multi-Product Checkout

Use Stripe Checkout Sessions with multiple line_items to handle subscriptions for product bundles. Requires Price IDs for each product.


Checkout Flow Optimization

Optimize the checkout flow with pre-filling, progress indicators, urgency cues, trust signals, and phone number collection for SMS onboarding.


Website replacement as entry wedge for tradie leads

Lead with website replacement offer as a primary offering, as tradies understand the value of a fast and effective website better than AI voice agents. This approach acts as a 'foot in the door' for upselling other services.


Automated Lead Activation Pipeline for Tradies

A complete automation system to activate 3,886 tradie leads, encompassing data enrichment, personalized email sequences, Instantly.ai campaign management, and GHL automation for handling replies and converting leads to customers.


Prioritize Leads with Worst Scores & High-Spend Providers

After data enrichment, prioritize outreach to the 200 leads with the worst website performance scores and who are currently using high-spend website providers (e.g., LocalSearch, Sensis).


Modular and Event-Driven Revenue Pipeline

The revenue pipeline should be modular and event-driven, leveraging n8n as the central orchestrator, PostgreSQL for persistent state, Redis for transient state/queues, and Telnyx/Gemini/Instantly/Stripe/Cal.com as specialized service providers.


Modular n8n Workflow Architecture

Utilize a modular n8n workflow architecture where specific stages of the pipeline are distinct n8n workflows triggered by webhooks or internal messages (e.g., Redis queues, internal HTTP calls between n8n workflows).


Sunaiva Autonomous Revenue Engine

An engine designed for Sunaiva that runs completely autonomously and drives revenue without new subscriptions, leveraging the existing tech stack.  Uses orchestration tools like n8n with LLMs and specialized APIs.


Instantly_Reply_Processor Workflow

n8n workflow triggered by Instantly.ai webhook. It ingests email replies, classifies intent using Gemini-Ultra LLM, enriches lead data, and dispatches to subsequent workflows based on intent (call_now, send_resources, unsubscribe, archive).


Intent-Based Routing

Routing logic within the Instantly_Reply_Processor workflow. Uses a Switch Node based on LLM classification (`next_action`) to route leads to appropriate actions: `call_now`, `send_resources`, `unsubscribe`, `archive`.


Call Queue Prioritization

For `call_now` intent, the workflow adds the lead to a Redis `call_queue` with priority based on lead data, which triggers the `Voice_Call_Processor` workflow.


For `send_resources` intent, the workflow triggers the `RAG_Email_Responder` workflow via an internal HTTP request to generate and send resources based on lead data and question.


Lead Data Enrichment

The workflow enriches lead data with phone numbers using Clay/Hunter APIs when `call_now` intent is detected. It includes retry logic with exponential backoff.


Instantly.ai Reply Webhook

Instantly.ai uses a webhook to send reply data to n8n.


n8n receives reply data from Instantly.ai webhooks.


Sunaiva Radar Audit Engine

A 7-section comprehensive architecture for an automated audit pipeline, scoring algorithm, revenue leak calculator, agency white-label architecture, conversion optimization strategy, cold start strategy, and viral loop design, leveraging Gemini Flash for AI analysis and various microservices for data collection and report generation.


Automated Audits for Demand Generation

Using automated audits to generate demand, mirroring successful playbooks like HubSpot's Website Grader and Neil Patel's SEO Analyzer. This involves providing valuable insights to potential customers through automated website analysis.


Automated Audit Pipeline Architecture

A 7-stage microservice pipeline designed for sub-60-second audit generation. The tech stack includes Redis, n8n, Playwright, Gemini Flash, Qdrant, PostgreSQL, MinIO, and Telnyx, implementing anti-blocking strategies and graceful degradation for CAPTCHAs.


Microservices Architecture

Adopting a microservices architecture over a monolithic approach for the Sunaiva Radar Audit Engine. This allows each stage of the audit process to be independently scalable, improving resilience and resource allocation efficiency.


Self-hosted MinIO over S3

Selecting MinIO for screenshot and video storage due to its self-hosted nature. This choice eliminates per-request costs associated with cloud storage solutions like S3, reducing operational expenses.


Graceful Degradation for Crawler Blocks

Implementing graceful degradation strategies to prevent the funnel from breaking if one site blocks crawling. This enhances the system's resilience and ensures continuous operation even when encountering website restrictions.


AI Voice-over + Screenshots for Report Generation

Generating AI voice-over videos with screenshot overlays as a faster alternative to browser replay recording. This improves the speed and efficiency of report generation while providing a compelling and visually rich presentation.


Target Score Range: 40-70

Aiming for a target score range of 40-70 in the audit results. This 'sweet spot' is designed to indicate a good foundation with room for optimization, creating a credible but alarming impression on the user.


Sunaiva Radar Audit Engine

A 7-stage pipeline designed for sub-60-second website audit generation. Key components include: User Input & Validation, Audit Orchestrator, Playwright Scraper, External Data Fetcher, AI Analyzer & Scoring Engine, Report & Video Generator, Notification & Follow-up Trigger. Uses Redis queues, n8n orchestration, Playwright scraping, Gemini Flash/Qdrant AI, PostgreSQL/Redis DB, MinIO storage, Jinja2/Handlebars templating, and Telnyx voice.


Modular microservices for audit generation

The audit engine is designed as a collection of modular microservices instead of a monolithic script. This allows for better scalability, maintainability, and resilience.


Asynchronous Queues for Speed

Utilize asynchronous queues (Redis) to decouple microservices and achieve the sub-60-second audit generation target.


Graceful degradation for CAPTCHA/blocks

Implement graceful degradation mechanisms in the Playwright scraper to handle CAPTCHA challenges and bot detection, preventing the audit funnel from breaking.


White-label via agency_id

Use the `agency_id` throughout the entire pipeline to enable white-labeling of reports and other assets for different agencies.


Self-hosted MinIO for media storage

Store screenshots, videos, and reports in a self-hosted MinIO instance to avoid S3 costs.


Scoring Algorithm

The audit engine uses a scoring algorithm to evaluate different aspects of a website, including design, content, SEO, lead capture, and mobile responsiveness. Each metric is scored 0-10 and normalized to a dimension's 0-100 score. Dimensions are weighted by conversion/revenue impact.


Anti-blocking Techniques for Web Scraping

Utilize user-agent rotation, proxy rotation, and playwright-extra anti-detection techniques to bypass bot detection mechanisms during web scraping.


Sunaiva Radar

A system with the potential to be a powerful demand generator. It is the focus of a 'Deep Think' analysis covering technical feasibility, psychological impact, and business growth.


Automated Audit Pipeline

A sub-60-second, robust, and scalable pipeline for auditing websites, composed of modular, asynchronous microservices.


Asynchronous Processing

Decouple request initiation from audit execution using a message queue (Redis/n8n).


Playwright Scraper

Microservice that performs headless browser actions, captures screenshots, extracts DOM. Handles crawler blocking via user-agent/proxy rotation.


External Data Fetcher

Microservice that enriches audit data with external APIs (SimilarWeb, Google Lighthouse).


AI Analyzer & Scoring Engine

Microservice that interprets collected data, generates text summaries, and calculates scores using Gemini Flash & Qdrant RAG.


Report & Video Generator

Microservice that compiles the final report and generates the video walkthrough, incorporating white-label branding.


Idempotency and Retry Mechanisms

The pipeline incorporates idempotency and retry mechanisms to handle failures gracefully, ensuring reliable operation.


Caching External API Responses

The pipeline caches external API responses (e.g., SimilarWeb data) for popular domains to optimize performance and reduce API costs.


Radar Audit Engine Scoring Strategy

The scoring algorithm should be transparent, defensible, actionable, and highlight gaps to drive interest in paid solutions. A normalization, weighting, and trust vs. alarm strategy is employed to generate scores. Aim for initial free audit scores in the 40-70 range for most businesses.


Design Dimension Scoring

The Design dimension, weighted at 15%, is scored based on Speed & Performance (50%), Visual Consistency (20%), Modernity & Accessibility (20%), and Broken Elements (10%). Metrics include LCP, CLS, FCP, Time to Interactive, font families, color palette consistency, viewport meta tag, contrast ratio, ARIA attributes, CSS features, broken links, and missing images.


Content Dimension Scoring

Content dimension is weighted at 20% and focuses on Readability & Quality (40%).


Vault-based Credential Management

Utilize a dedicated secrets management solution (e.g., HashiCorp Vault, AWS Secrets Manager) for storing and managing customer credentials.  The vault decrypts and provides them directly to the agent runtime, not storing them in the agent's persistent memory.


OAuth 2.0 for Authentication

Leverage OAuth 2.0 for authentication with target applications where available.  Store the refresh token securely in your vault to obtain new access tokens automatically.


"Self-Healing" Login

Implement a mechanism for agents to automatically re-authenticate with stored credentials if a session expires or login fails. Alert the customer upon consistent failure.


Ephemeral Sessions

Limit the lifespan of active sessions to minimize the window of opportunity for unauthorized access or credential compromise.


Auditability

Log all access attempts and activities related to credential usage for security monitoring and auditing purposes.


Initial MFA Setup via Dedicated Browser Instance

For username/password with MFA, use a dedicated browser instance controlled by the user to generate an initial session cookie/token. This handles the MFA flow.


Reliability Engineering for Browser Automation

Employ a proactive, resilient architecture for browser automation to achieve high uptime. This involves assuming failure, implementing robust error handling, comprehensive monitoring, self-healing mechanisms, and fallback strategies.


Exponential Backoff with Jitter for Retries

Implement exponential backoff with jitter for retries in browser automation workflows.  This pattern involves increasing the delay between retry attempts with a random jitter to avoid overwhelming the system and improve success rates.


Centralized Logging and Monitoring

Utilize centralized logging and monitoring (e.g., ELK Stack, Grafana Loki, Prometheus/Grafana) for agent execution, errors, performance, and key steps.  Monitor system resources (CPU, memory, network) and application metrics (successful/failed runs, average run time).


Browser Management Strategy

Run browsers in headless mode, standardize on specific browser versions, isolate browser contexts per agent/customer, and leverage Lux/Gemini for DOM understanding and UI adaptation to improve resilience.


Workflow Idempotency

Design steps in browser automation workflows to be idempotent where possible. This ensures that actions can be repeated without unintended side effects, improving reliability.


Workflow Definition Language (DSL) for Browser Agents

A DSL for defining browser agent workflows, balancing expressiveness, ease of use, and maintainability. The recommended approach is a YAML/JSON-based core definition with a visual builder frontend. Key primitives include navigation, clicking, typing, data extraction, conditional logic, loops, Javascript execution, API calls, variable storage, user prompts, Lux actions, and Gemini vision integration.


YAML/JSON Based Core DSL Primitives

Defines core actions for the YAML/JSON DSL, including navigate_to, click, type_text, select_option, wait_for, extract_data, if_else, loop, run_js, screenshot, upload_file, call_api, store_variable, retrieve_variable, prompt_user, invoke_lux_action, invoke_gemini_vision, output_data and condition_lux_eval.


Visual Builder for DSL

A drag-and-drop interface that compiles into the YAML/JSON DSL. Allows non-developers to create and customize agents. Nodes represent DSL primitives.


Lux Natural Language Integration

Directly leverages Lux's strength for dynamic actions using a `lux_execute` primitive within the DSL, allowing a natural language prompt to drive Lux.


Workflow Versioning

Store workflows in a Git-like system. Each change creates a new version, allowing for rollbacks and historical tracking.


Containerization for Agent Workloads

Isolate and manage agent workloads using Docker containers. Each agent instance runs within its own container for consistent environments.


Kubernetes Orchestration for Scalability

Use Kubernetes (or AWS ECS/Fargate, Google Cloud Run) to manage thousands of agent containers. Handles deployment, scaling, self-healing, and resource management.


Dedicated vs. Shared Browser Instances

Start with dedicated browser instances for each customer subscription for robustness. Explore shared contexts within a single browser process for a single customer's multiple agents, but avoid sharing across customers.


Asynchronous Architecture with Message Queues

Trigger agent runs using messages in a queue (Kafka, RabbitMQ, Redis Streams). Decouples task submission from execution.


Infrastructure-as-Code (IaC) with Terraform/Pulumi

Define the entire infrastructure using Terraform or Pulumi for consistent, repeatable deployments and disaster recovery.


Egress IPs Management

Provide customers with stable, dedicated egress IPs for whitelisting.  Consider NAT gateway or proxy layer.


Marketplace Cold Start Strategy

Build first 20 agents efficiently and attract builders via internal team focusing on high-value verticals, strategic partnerships, and a bounty program. Prioritize quality control, documentation, and SDK creation.


Agent Development Kit (ADK)

Formalized DSL, testing procedures, memory integration, and Lux/Gemini usage patterns serving as the blueprint for external builders.