axiom: The Diagnosis-to-Cure Loop is the optimal GTM strategy for multi-product B2B platforms: launch a free or low-cost diagnostic tool (audit) that manufactures undeniable, data-backed demand, then prescribe your own products as the cure. He who controls the diagnosis controls the prescription.

source: plans/MASTER_SYNERGY_BLUEPRINT.md (Session 24 Deep Think)

category: strategy

genesis_action: Ship Radar Audit (P4) as tip-of-spear product before Widget or Browser Agents. Use 38 agency leads as white-label distribution for audit tool.


axiom: The Domino Effect launch sequence for interconnected products is: Diagnostic Wedge -> Quick Cash Flow -> Deep Operational Integration -> Vendor Lock-In -> Platform Monopoly. Each product's success funds and forces adoption of the next, creating compounding revenue.

genesis_action: Follow the 5-Domino sequence: P4 Radar Audit -> P2 Talking Widget -> P3 Browser Agents -> P1 AI Memory MCP -> P5 Agent Marketplace. Do NOT skip dominoes.


axiom: Agent-as-a-Service (AaaS) achieves 98%+ gross margins when built on ephemeral compute: agents don't need 24/7 compute, a Dental Recall Agent runs 5 minutes 3x/day. $2.50 COGS vs $197/mo subscription = scalable economics that traditional SaaS cannot match.

source: plans/AGENT_AS_A_SERVICE_ARCHITECTURE.md (Session 24, Pillar 4)

category: architecture

genesis_action: Implement ephemeral container pattern: Boot -> Inject Vault Cookies -> Run YAML -> Write to Memory MCP -> Self-destruct. Single Elestio VPS multiplexes thousands of short jobs/day.


axiom: The BYOS (Bring Your Own Session) model resolves the trust paradox in browser automation: customers provide their own credentials stored in encrypted vaults, the agent hydrates sessions from stored browser state, and MFA intercepts are handled via SMS callback. Zero data lock-in = enterprise trust.

source: plans/AGENT_AS_A_SERVICE_ARCHITECTURE.md (Session 24, Pillar 1)

genesis_action: Implement BYOS with HashiCorp Vault on Elestio. Customer logs in via secure portal -> system extracts browserContext.storageState() -> AES-256 encrypted -> keep-alive cron pings CRM every 24h.


axiom: Tri-Layer Fallback Architecture achieves 99%+ uptime for browser automation: Layer 1 (Semantic Path via Crawl4AI, fast/cheap), Layer 2 (Vision Path via Gemini Flash, handles DOM obfuscation), Layer 3 (Fleet-Wide Immunity via parallel swarm, heals all agents before encountering errors). Generic platforms cannot do fleet-wide immunity.

source: plans/AGENT_AS_A_SERVICE_ARCHITECTURE.md (Session 24, Pillar 2)

genesis_action: Implement tri-layer fallback: Crawl4AI for fast semantic extraction, Gemini Flash for visual reasoning when DOM changes, Lux Swarm for fleet-wide immunity against major UI updates.


axiom: AaaS-YAML is an intent-based workflow definition language that defines guardrails while the LLM handles micro-navigation. This separates WHAT (human-specified intent like 'Find overdue patients') from HOW (LLM figures out DOM traversal), making agents resilient to UI changes without requiring workflow updates.

source: plans/AGENT_AS_A_SERVICE_ARCHITECTURE.md (Session 24, Pillar 3)

genesis_action: Design AaaS-YAML spec with primitives: HYDRATE_SESSION, SEMANTIC_EXTRACT, LOOP, LLM_REASON, API_CALL, MEMORY_WRITE. Intent-based, not selector-based.


axiom: Voice-Browser Fusion is the holy grail of AI automation: phone call triggers browser actions mid-call. The agent keeps a headless browser context WARM during business hours, uses verbal padding ('Let me pull up our quoting system...') to mask 6-8 second Playwright execution latency, and gracefully degrades to background queue if browser fails.

source: plans/AGENT_AS_A_SERVICE_ARCHITECTURE.md (Session 24, Pillar 7)

genesis_action: Implement warm browser sessions for voice clients during business hours. Add verbal padding prompts to AIVA. Graceful degradation: 'My system is freezing up, but I have your details.'


axiom: The Agent Gym (OSGym) achieves production reliability through offline chaos injection: clone target SaaS frontend, randomly mutate UI (change buttons, move navigation, alter CSS, simulate 3G, trigger fake pop-ups), run 500 parallel instances of YAML workflow. Agents graduate to production only when they navigate 99.5% of heavily mutated environments.

source: plans/AGENT_AS_A_SERVICE_ARCHITECTURE.md (Session 24, Pillar 8)

genesis_action: Build OSGym: Crawl4AI downloads target SaaS frontend -> chaos injection mutates UI -> Lux parallel reinforcement against mutated environments -> 99.5% graduation threshold.


axiom: Episodic Memory is the ultimate churn prevention mechanism for AI agents: agents REMEMBER past interactions, so a lead that doesn't reply Tuesday gets a context-aware follow-up Friday. Zapier zaps are amnesic. Firing the agent equals firing an employee with deep institutional knowledge. Churn approaches zero.

source: plans/AGENT_AS_A_SERVICE_ARCHITECTURE.md (Session 24, Pillar 6)

genesis_action: Connect all customer agents to AI Memory MCP. Every interaction writes to memory. Follow-ups reference prior context. Market as 'institutional knowledge' that competitors cannot replicate.


axiom: The competitive moat for AI agents is NOT infrastructure (race to bottom) but a triple-layer of: (1) Vertical Trust via branded domains (realestatebot.com.au, not browser-automation-platform.io), (2) Cross-Tenant Fleet Learning (agents share collective hive mind per vertical), (3) Episodic Memory MCP (agents remember, competitors don't).

genesis_action: Defend moat on three fronts: 73 branded domains for vertical trust, fleet learning across same-vertical deployments, and Memory MCP for institutional knowledge lock-in.


axiom: The Autonomous Revenue Engine eliminates ALL human touchpoints from lead generation to revenue collection: Instantly.ai (cold email) -> LLM Triage (intent classification) -> Voice AI (qualification call) -> Cal.com (auto-booking) -> AI Demo (personalized video) -> Stripe (payment) -> Auto-Provisioning (license + welcome email). Zero human dependency at every handoff.

source: plans/AUTONOMOUS_REVENUE_ENGINE.md (Session 24 Deep Think DT2)

genesis_action: Implement 7-stage pipeline using existing components: Instantly (have) -> n8n/Gemini Flash triage -> Telnyx AIVA call -> Cal.com -> Demo video -> Stripe checkout -> auto-provision on Elestio.


axiom: LLM Triage Agents eliminate the hidden human touchpoint of classifying ambiguous email replies: deploy Gemini Flash on n8n to classify intent (positive/objection/unsubscribe), extract entities, determine urgency, and route to appropriate next step. Complex objections are answered via RAG vector DB with tech docs. Cost: ~$0.001 per classification.

source: plans/AUTONOMOUS_REVENUE_ENGINE.md (Session 24, Touchpoint 2 Elimination)

genesis_action: Build LLM Triage Agent on n8n: Instantly webhook -> Gemini Flash intent classification -> route to call_now/send_resources/unsubscribe/archive. Dead Letter Queue for edge cases.


axiom: The Builder's Trap is the terminal condition where founders perpetually build features instead of selling existing products. Acknowledging the trap requires a conscious code freeze on new features and redirecting all energy to sales, marketing, and customer acquisition. 'Stop building, start selling' is a strategic decision, not an admission of failure.

source: hive/progress/session_22_handoff.md (Session 22 Strategic Decision #5)

genesis_action: Enforce code freeze on new features. All agent cycles go to: sales materials, outreach campaigns, customer acquisition, product polish for existing features. No new features until revenue > 0.


axiom: Affiliate distribution is superior to white-label for early-stage products: brand stays yours (building equity), agencies earn 20-33% recurring lifetime commissions (aligned incentives), and you maintain pricing control. White-label dilutes brand before it's established and creates support burden for custom branding.

source: hive/progress/session_22_handoff.md (Session 22, Strategic Decision #1)

domain: distribution

genesis_action: Implement Rewardful ($49/mo) for affiliate tracking. Offer 30% recurring commission to agency partners. Keep Sunaiva brand on all deployments. White-label only after brand is established.


axiom: A Paid Discovery Audit ($500-$1,497) is a 99% margin entry product that simultaneously: (a) qualifies prospects through their willingness to pay, (b) generates deep diagnostic data that manufactures demand for core products, (c) positions you as an authority (not a vendor), and (d) provides revenue from the sales process itself.

genesis_action: Build automated Radar Audit pipeline: URL input -> Playwright scrape -> AI analysis -> branded PDF report -> Telnyx follow-up call. Under 60 seconds. White-label for agencies.


axiom: Domain Empire Strategy: 73 owned domains mapped to hyper-niche landing pages (tradiechatbots.com.au, dentalbotai.au) act as a programmatic SEO dragnet capturing high-intent Google search traffic. Each domain funnels to vertical-specific product pages. 73 domains x 2 leads/mo x 10% conversion x $297 avg = $4,336/mo passive lead generation.

source: data/DOMAIN_PORTFOLIO_MASTER.md + hive/progress/session_22_handoff.md (Session 22)

genesis_action: Deploy all 73 domains to GHL with Cloudflare DNS. Use swarm-generated content for vertical-specific landing pages. Each domain points to one product vertical.


axiom: GHL Hosting for landing pages eliminates additional SaaS cost: since GHL is already being paid ($249/mo, soon $497/mo), use its free hosting capability for all 73 domain landing pages instead of adding Netlify/Vercel/custom hosting costs. Maximize value extraction from existing subscriptions before adding new ones.

source: hive/progress/session_22_handoff.md (Session 22, Strategic Decision #4)

category: operational

genesis_action: Migrate all landing pages to GHL hosting. Use GHL templates for rapid deployment. Only pay for Cloudflare DNS ($0/mo free tier). Zero additional hosting cost.


axiom: AI Guilt is institutional friction, not technical limitation: 62% of product managers use AI but only 18% acknowledge it. Addressing psychological barriers (fear of replacement, professional inauthenticity, environmental guilt) BEFORE technical implementation doubles enterprise AI adoption velocity. Frame as 'force multiplication' not 'automation'.

source: plans/ENTERPRISE_AI_TRANSFORMATION_STRATEGY.md (Section 1, Session 24)

category: market

genesis_action: Include 'AI Guilt Mitigation' section in all enterprise pitch decks. Reframe messaging from 'replace manual work' to 'multiply your team's strategic capability'. Use transparency protocol: 'AI-assisted' disclosures.


axiom: Entry-level AI implementations (audit tools, report generation) cost $500-$2K/month in API costs but sell for $2,500-$5,000 per diagnostic report, yielding 60-80% gross margins. This makes productized AI audits one of the highest-margin entry products in B2B SaaS.

source: plans/ENTERPRISE_AI_TRANSFORMATION_STRATEGY.md (Section 2.3, Session 24)

genesis_action: Price Radar Audits at $997-$2,500 per report. Cost basis: ~$0.50-$2.00 per audit (Gemini Flash + Playwright + PageSpeed API). Margin: 99%+. Volume target: 10 audits/mo = $9,970-$25,000 revenue.


axiom: Evidence Quality is the key 2026 differentiator in enterprise AI reports: most tools optimize for speed/visuals while few prioritize defensible evidence. Inline citations linking claims to source data ('47% conversion drop on mobile [GA4 Report, Page 12]'), blockchain-timestamped versions, and data lineage tracking separate serious AI from commodity wrappers.

source: plans/ENTERPRISE_AI_TRANSFORMATION_STRATEGY.md (Section 3.2, Session 24)

genesis_action: Implement evidence trails in Radar Audit reports: every recommendation links to source data (PageSpeed, screenshot, SEO metric). Add confidence scores per recommendation. 'Show your work' expandable data trails in PDFs.


axiom: AI-native form gathering (Jotform AI, Streamline AI) replaces manual discovery calls with 60% reduction in intake time. Pre-audit AI-guided forms conditionally branch based on responses, validate data in real-time, and pre-fill from historical records. ROI: 20 hours -> 8 hours per client at $150/hour = $1,800 savings per engagement.

source: plans/ENTERPRISE_AI_TRANSFORMATION_STRATEGY.md (Section 4, Session 24)

genesis_action: Use Jotform AI for pre-audit information gathering. Conditional branching: 'What analytics platform?' triggers based on traffic volume. Replace discovery calls with automated, intelligent forms.


axiom: Psychological pricing disclosure techniques dramatically increase enterprise financial data sharing during audits: (1) Reframing positions disclosure as necessary for THEIR benefit, (2) Reality Discount Benchmarks provide safe comparison ranges avoiding exact number pressure, (3) No-Oriented Questions ('Would it be ridiculous to include revenue targets?') reduce resistance via Chris Voss negotiation tactics.

source: plans/ENTERPRISE_AI_TRANSFORMATION_STRATEGY.md (Section 6.1, Session 24)

genesis_action: Embed negotiation techniques into Radar Audit intake forms and AIVA qualification scripts. Use benchmarking ranges instead of direct questions about revenue.


axiom: The Memory MCP Lock-In effect creates a 'Digital Lobotomy' switching cost: leaving the platform means losing the proprietary Intelligence Graph that connects disparate data points across conversations, CRM entries, and sentiment trends. Raw data export gives them text; staying gives them interconnected intelligence. Critical lock-in inflection point occurs between months 9-12.

source: deep_think_results/DT5_memory_mcp_lockin.md (Session 24, DT5/6)

genesis_action: Build Compounding Value Dashboard showing 'Memories Synced', 'Connections Formed', 'Insights Discovered' as exponential curve. Surface emergent intelligence via notifications. Track Memory Depth Score per customer.


axiom: Memory Network Effects create cross-customer intelligence without privacy violation: anonymized industry benchmarks let a plumber see how their metrics compare against all plumbers on the platform. Pre-trained industry models give new customers a highly-tuned AI from day one. The more customers per vertical, the smarter the agents become. Impossible for competitors to replicate without matching customer base.

source: deep_think_results/DT5_memory_mcp_lockin.md (Session 24, Section 3)

genesis_action: Design anonymized benchmark system: aggregate conversion rates, common complaints, booking patterns across same-vertical customers. New customer gets pre-trained model inheriting collective intelligence.


axiom: Progressive Deepening achieves sticky lock-in through a 6-month journey: Month 1 (quick win, connect one data source), Month 2 (combine datasets for cross-referencing), Month 3 (connect first external tool), Month 4 (system proactively suggests next step), Month 5 (automated weekly insight emails), Month 6 (full ecosystem integration, switching cost immense).

source: deep_think_results/DT5_memory_mcp_lockin.md (Session 24, Section 4)

genesis_action: Design product onboarding as 6-month progressive deepening journey. Each month introduces one new integration point. Track progression through Memory Depth Score.


axiom: Data Escrow is the silver bullet for enterprise 'what if you go down?' objections: sign a legal agreement with a data escrow service guaranteeing customers receive full export of raw AND derived data if Sunaiva goes out of business, plus optionally the source code for a basic read-only version. Neutralizes the existential risk objection.

source: deep_think_results/DT5_memory_mcp_lockin.md (Session 24, Section 7)

genesis_action: Investigate data escrow services. Add 'Automated Backups to Their Cloud' feature: customers schedule daily/weekly exports to their own S3/Azure Blob. Psychological safety net.


axiom: The OpenClaw Permission Paradox is solved by Capability-Based, Context-Aware, Risk-Tiered permissions: 5 risk tiers (T0 Informational through T4 Critical/Irreversible), Permission Lease System for temporary elevation with auto-revocation, and Constitutional Firewall as absolute veto layer. Dynamic overlays modify permissions based on time, user request, and agent maturity level.

source: deep_think_results/DT5_openclaw_permission_paradox.md (Session 24, DT5)

genesis_action: Implement 5-tier risk classification for all Genesis tool calls. Add Permission Lease System: agents request temporary elevation with justification, PSE evaluates risk, auto-revokes at expiry.


axiom: The Radar Audit Engine achieves sub-60-second SLA through parallel fan-out architecture: Branch A (Playwright scraping), Branch B (Google PageSpeed API), Branch C (Qdrant RAG for industry benchmarks) run simultaneously. Results fan-in to Gemini Flash for scoring and analysis, then to HTML template generator. Redis caching prevents re-processing of recently audited sites.

source: deep_think_results/DT3_radar_audit_engine.md (Session 24, DT3)

genesis_action: Build Radar Audit pipeline: n8n orchestrator -> parallel Playwright + PageSpeed + RAG branches -> Gemini Flash analysis -> HTML report generation. Redis 7-day cache for repeat audits.


axiom: Audit scoring must be transparent, defensible, and strategically calibrated: aim for initial free audit scores in the 40-70 range for most businesses. Sub-40 signals critical issues, 70+ indicates a good base with optimization room. Weighting: Design 15%, Content 20%, SEO/Technical 25%, Trust Signals 20%, Conversion 20%. Each metric normalized to 0-10 then weighted.

source: deep_think_results/DT3_radar_audit_engine.md (Session 24, Section 2)

genesis_action: Implement 5-dimension scoring algorithm with transparent weights. Calibrate initial scores to 40-70 range to highlight sufficient gaps while maintaining credibility.


axiom: Browser Agent Marketplace follows a Curated -> Open -> Platform 3-year evolution: Year 1 ('Franchise' phase, 5-10 vertical agents, direct sales + initial partners), Year 2 ('Channel' phase, scale agency resellers, Certified Partner program), Year 3 ('API' phase, public-facing API, developer ecosystem, true app store). Premature platforming is fatal.

source: deep_think_results/DT6_agent_marketplace.md (Session 24, DT6 Section 8)

genesis_action: Execute Year 1 Franchise phase: hand-build 5 vertical agents (trades, dental, real estate, HVAC, legal). Perfect quality. Direct sales. Do NOT open marketplace before 50+ paying customers.


axiom: Done-For-You beats DIY as competitive positioning against horizontal automation tools: 'Zapier helps you connect your apps. We give you a fully trained AI employee that runs them for you.' Target customer is a business owner who doesn't have time or skill for Zapier. Value-based sale (solve business problem) not price-based sale (compare features).

source: deep_think_results/DT6_agent_marketplace.md (Session 24, DT6 Section 9)

genesis_action: All marketing positions Sunaiva as 'AI Employees' not 'automation tools'. Target business owners, not developers. Emphasize outcomes ($3,000/mo recovered) not features (browser automation).


axiom: GHL Snapshots are the de facto agent packaging standard: a single deployable template containing AI configuration, CRM automations, funnels, website, permissions, and API keys. One master template deploys to 73 domains with only content customization. A/B test the master template; winning variations propagate instantly across all storefronts.

source: deep_think_results/DT6_agent_marketplace.md (Session 24, DT6 Sections 4+7)

genesis_action: Create master GHL Snapshot for each vertical agent. Deploy to branded domains via template cloning. A/B test on master; propagate winners.


axiom: Data Network Effects in agent marketplaces compound per-vertical: deploying 100 'AI Plumber' agents generates data on which conversational flows have the highest booking rate. Updating the master template instantly improves all 100 agents. More clients per vertical = smarter agents = impossible for new competitors to match performance without equivalent customer base.

source: deep_think_results/DT6_agent_marketplace.md (Session 24, DT6 Section 5)

genesis_action: Build vertical-specific performance dashboards. Track conversion rates across all agents in same vertical. Feed winning patterns back into master templates automatically.


axiom: The Deep Think Bridge transforms strategic analysis from manual research into a programmatic operational tool: automated prompt -> Gemini Ultra extended thinking -> markdown + JSON results. 5+ strategic analyses delivered per session at $0 marginal cost (included in Ultra plan). Eliminates manual copy-paste from web UI entirely.

source: scripts/deep_think_bridge.py + hive/progress/session_24_handoff.md (Session 24)

category: technical

genesis_action: Use Deep Think Bridge for all strategic analysis: fire prompts from CLI, get markdown + JSON results automatically saved to deep_think_results/. Budget: 1500 prompts/day free.


axiom: 200-agent marketing swarms achieve 99.9% cost reduction for content generation: 200 pieces of production-ready multi-channel content (LinkedIn posts, email sequences, Google Ads, case studies) generated in 94 seconds for $0.10 total ($0.0005 per piece). Traditional equivalent: $10K-$60K from agencies. 100% success rate at scale.

genesis_action: Fire 200-agent marketing swarms weekly for fresh content across all channels. Budget: $0.50/week for 1,000 pieces. Rotate content across LinkedIn, Instantly.ai, Google Ads, blog.


axiom: Burn rate transparency is existentially important for bootstrapped startups: underestimating monthly burn ($385 vs actual $1,500 USD) leads to catastrophically wrong break-even targets (5 customers vs 11). Every revenue projection, strategic plan, and resource allocation decision downstream is corrupted by inaccurate cost data. Audit costs monthly.

source: data/MONTHLY_COSTS.md + hive/progress/session_24_handoff.md (Session 24)

genesis_action: Audit all subscription costs monthly. Current burn: ~$1,500 USD/mo. Break-even: 11 customers at $297 avg. Update all strategic docs when costs change. Track cost vs revenue weekly.


axiom: Product readiness must be verified by the founder (User Zero) before any outreach: sending cold emails to prospects with a broken product destroys the one chance at first impression. Fix critical bugs -> founder tests full journey -> iterate -> THEN activate outreach. The builder's eagerness to sell often precedes product readiness.

source: hive/progress/session_23_handoff.md (Session 23, Key Decision)

genesis_action: Kinan must complete full customer journey test before Instantly.ai campaign activation. Checklist: sign up -> create vault -> upload export -> test MCP -> buy widget -> make voice call.


axiom: Video avatars are the 2026 market expectation for voice AI agents: audio-only is outdated. The optimal stack is Telnyx audio -> Simli Trinity-1 lip-sync -> video in widget.js at sub-300ms latency for <$0.01/min. Ship audio first (v1), add video as v1.1 (1-2 week follow-up) to avoid delaying initial launch.

source: hive/progress/session_23_handoff.md (Session 23, Video Avatar Decision)

genesis_action: Ship Talking Widget v1 with audio only. Add Simli Trinity-1 video avatar as v1.1 upgrade within 2 weeks. Market video capability as differentiator vs competitors.


axiom: Zero verification stamps across shipped code reveals a systemic quality gap: all Sunaiva code has NONE, only AIVA has verification stamps. The absence of verification stamps means no formal quality gate was applied, no test results documented, and no traceability exists for production code. This is a technical debt that compounds with each deployment.

source: hive/progress/session_23_handoff.md (Session 23, Finding #5)

genesis_action: Add verification stamps to all shipped modules. No code deploys without: story ID, test count, pass rate, coverage percentage, verifier ID, timestamp.


axiom: The MCP-PostgreSQL Disconnect pattern is a critical production bug class: when the data loader reads from one source (JSON files) while the API writes to another (PostgreSQL), data never syncs and the system silently serves stale data. Solution: PG-primary with JSON-fallback pattern ensures single source of truth with graceful degradation.

source: hive/progress/session_23_handoff.md (Session 23, Finding #2)

genesis_action: Audit all Genesis data loaders for source-of-truth mismatches. Enforce PG-primary pattern everywhere. JSON as fallback only when PG unavailable. Never dual-source without explicit sync.


axiom: Attacking a single architectural challenge from 10+ radically different paradigms (neurology, distributed systems, genetics, quantum physics, music theory, holographic memory, mycology, temporal programming, immunology) yields novel solutions that no single paradigm could produce. Multi-paradigm synthesis = paradigm-shifting architecture at $0 cost via Deep Think.

source: hive/progress/session_24_handoff.md (Session 24 Post-Compaction, DT7-DT16)

genesis_action: Apply multi-paradigm Deep Think constellation to all unsolved architectural challenges. Fire 10+ prompts from different scientific disciplines. Synthesize results for breakthrough insights.


axiom: Session Continuity is the unsolved architectural frontier for AI agent systems: each session is a fresh instance with no prior memory except files. Handoff files help but don't solve continuity. The gap between 'discrete session checkpoints' and 'continuous woven tapestry' represents the next major capability unlock for autonomous systems.

source: hive/progress/session_24_handoff.md (Session 24, Session Continuity Paradox)

genesis_action: Synthesize DT7-DT16 results into unified session vault architecture. Implement as Genesis core component. Target: zero context loss across respawns.


axiom: Audio diagnostics is an invisible product differentiator: no voice-AI company has solved pre-call audio diagnostics. Every Zoom/Meet/Teams call starts with 'Can you hear me?' - we eliminate that. TRRS/TRS mismatch, BT A2DP/HFP profile switching, WSL2 PulseAudio issues, Chrome getUserMedia routing -- each is a support ticket reducer and competitive moat.

source: hive/progress/session_24_handoff.md (Session 24, Audio Doctor)

genesis_action: Build Audio Doctor MVP widget: pre-call mic check (level, echo, latency), BT profile detection, TRRS/TRS mismatch detection. Embed in every Talking Widget deployment.


axiom: API vs Local Privacy is resolved by tiered routing by sensitivity: use API (Gemini/Claude) for 90% of commodity tasks (content gen, scoring, SEO analysis) and Local (Ollama) for 10% of true IP tasks (AaaS-YAML generation, session vault, fleet immunity patterns). The moat is orchestration logic, not model access -- anyone can access the same APIs.

source: hive/progress/session_24_handoff.md (Session 24, API vs Local Privacy Paradox)

genesis_action: Classify all Genesis tasks by sensitivity. Route commodity tasks to API (cheap, fast). Route IP-critical tasks to local models (secure, proprietary). The orchestration layer IS the moat.


axiom: Five interconnected products form a closed-loop B2B AI Operating System when properly sequenced: P1 Memory (Brain), P2 Voice Widget (Mouth/Ears), P3 Browser Agents (Hands), P4 Radar Audit (Diagnostic X-Ray), P5 Agent Marketplace (Platform). Each product strengthens the others. This architecture creates an autonomous business workforce, not a collection of tools.

genesis_action: Market and build as a unified 'AI Operating System for Business', not as separate products. Every product interaction strengthens the loop. The whole is exponentially greater than the sum of parts.


axiom: The 500 MiniMax agent swarm demonstrated viable content generation at scale: 429/500 success rate (86%), $6.23 total cost, 1.3M tokens of content generated. At $0.015 per content piece, swarm-generated content for 73 domain landing pages becomes economically trivial. The bottleneck shifts from content creation to content deployment.

source: hive/progress/session_22_handoff.md (Session 22, Swarm Results)

genesis_action: Fire 500-agent swarms for all content needs: landing pages, FAQs, objection handlers, SEO articles. At $6 per 500 pieces, content is essentially free. Focus energy on deployment.


axiom: Enterprise AI pilot validation requires targeting high-volume, low-complexity tasks with measurable baselines: marketing content (75% time savings, $5,400/mo value), customer support tier-1 (80% savings, $9,600/mo), sales proposal generation (75% savings, $2,700/mo). Success metrics: 70%+ daily adoption by Day 60, no quality degradation, cost recovery within 90 days.

source: plans/ENTERPRISE_AI_TRANSFORMATION_STRATEGY.md (Section 5.2, Session 24)

genesis_action: When pitching enterprise pilots, lead with time savings calculations for their specific use case. Target high-volume, low-complexity tasks first. Measure adoption rate, quality maintenance, and cost recovery.


axiom: The Founder's Fleet cold-start strategy for agent marketplaces: begin with 3-5 curated seed agents for high-pain, high-ROI verticals (trades, dental, home services), not a large undifferentiated catalog. An agent that converts a single missed call into a $1,000+ job provides 10x ROI immediately. Use Radar Audit to identify businesses with poor call handling as pre-qualified demand.

source: deep_think_results/DT6_agent_marketplace.md (Session 24, DT6 Section 1)

genesis_action: Build 'Founder's Fleet': 5 hero agents for trades, dental, real estate, HVAC, legal. Each agent solves one high-pain, high-ROI problem. Quality over quantity.


axiom: Old agent work represents untapped strategic gold: 850+ files of prior research, enterprise strategies, B2B playbooks, and competitive intelligence generated by Genesis/AIVA swarms were only 20% absorbed. The 502 files (28MB) of domain content alone represent massive strategic assets that should be CTM'd before generating new content.

source: hive/progress/session_24_handoff.md (Session 24, Finding #10)

genesis_action: Systematic CTM of remaining 850+ files from Talking Website/ and related folders. Prioritize domain content (502 files, 28MB). Extract enterprise strategies, B2B playbooks. Build KG entities.


axiom: LinkedIn thought leadership combined with build-in-public narrative attracts agency partners organically: post 2-3 times per week with content categories including AI agent ROI stories, voice breakthrough milestones, builder's trap insights, diagnosis-to-cure frameworks, and agency partnership opportunities. The 30-day content calendar creates consistent authority signaling.

genesis_action: Post 2-3 LinkedIn updates per week from swarm-generated content. Categories: ROI stories, voice breakthroughs, builder lessons, partnership pitches. Use 30-day content calendar.


axiom: The 'memory-as-platform' approach transforms an AI Memory product into a developer ecosystem: tiered API access (free read-only, paid read/write), app marketplace with 15-20% revenue share, mandatory co-branding ('Powered by Sunaiva'), and strict security vetting. The enterprise brain is the most valuable asset -- apps that connect to it must be trusted.

source: deep_think_results/DT5_memory_mcp_lockin.md (Session 24, Section 6)

genesis_action: Design Memory API as platform: free tier for basic reads, paid tiers for write access + derived insights API. Prepare marketplace architecture. 15-20% revenue share on third-party apps.


axiom: The Memory Depth Score (MDS) is the key metric for predicting customer churn: MDS = (Data Sources Connected) x (Data Volume) x (Integrated Apps) x (Daily Active Users). Churn rate is inversely proportional to MDS. Critical lock-in inflection occurs at months 9-12 when the cost of extraction exceeds subscription cost.

source: deep_think_results/DT5_memory_mcp_lockin.md (Session 24, Section 8)

genesis_action: Implement Memory Depth Score tracking per customer. Dashboard showing MDS trend. Alert when MDS drops (risk signal). Celebrate MDS milestones to drive engagement.


axiom: Modular n8n workflow architecture prevents the 'mega-workflow nightmare': each major pipeline stage should be a distinct n8n workflow triggered by webhooks or Redis queues, not a single monolithic flow. This enables independent debugging, retry logic, and scaling of individual stages without affecting the entire pipeline.

source: deep_think_results/DT2_autonomous_revenue_engine.md (Session 24, DT2)

genesis_action: Implement revenue pipeline as separate n8n workflows: Instantly_Reply_Processor, Voice_Call_Processor, Demo_Generator, Onboarding_Processor, Billing_Handler. Each independently deployable and debuggable.


axiom: Verbal padding is a critical latency masking technique for voice-browser fusion: instead of silence during 6-8 second Playwright execution, prompt the AI to use conversational buffers ('Let me pull up our quoting system...') with soft keyboard typing sound effects. This transforms perceived wait time from awkward silence into natural conversational flow.

source: plans/AGENT_AS_A_SERVICE_ARCHITECTURE.md (Session 24, Pillar 7)

genesis_action: Add verbal padding prompts to all voice agent configs. Include soft typing SFX during browser execution. Test with real users for naturalness.


axiom: Dead Letter Queues (DLQs) are essential for autonomous revenue pipelines: when LLM classification fails, voice call drops, or payment processing errors, failed items must route to DLQ for human review rather than being silently dropped. Every pipeline stage needs an error branch to DLQ. Human review of DLQ items generates training data for improving automation.

source: deep_think_results/DT2_autonomous_revenue_engine.md (Session 24, DT2 Error Branch)

genesis_action: Implement Redis DLQ for every pipeline stage: dlq_instantly, dlq_voice, dlq_booking, dlq_billing. Dashboard for human review. Feed resolved items back as training data.


axiom: Connection pooling and schema migrations are non-negotiable for production databases: the Talking Widget backend (7,800 lines of real code) had ZERO connection pooling, onboarding saving to JSON instead of database, broken overage cron, and minimal auth. These are not nice-to-haves -- they are P0 blockers for handling any production traffic.

source: hive/progress/session_23_handoff.md (Session 23, Product Audit)

genesis_action: Add connection pooling (asyncpg or psycopg2 pool) to all database connections. Migrate all JSON persistence to PostgreSQL. Fix cron jobs. Implement JWT rotation.


axiom: The 38 Australian agency leads represent zero-CAC distribution: agencies buy ways to acquire and retain their OWN clients. Framing the pitch as 'AI audit tool to help YOU close more clients' aligns incentives. One agency with 50-200 clients can deploy 50-200 agents. Ten agencies = 500-2,000 agent deployments from a single sales channel.

source: plans/B2B_SAAS_WEDGE_STRATEGY_COMPLETE.md + Talking Website/AUSTRALIAN_PARTNER_LEADS.csv (Sessions 22-24)

genesis_action: Import 38 AU agency leads into Instantly.ai. Use partner pitch email templates. Frame as 'your new sales weapon' not 'our product'. 10 agencies x 5 referrals x $297 = $14,850/mo potential.


axiom: Sunaiva.ai (confirmed owned, Namecheap, expires May 2027) is the premium enterprise domain while sunaivadigital.com serves as the operational deployment domain. Domain strategy must separate brand tiers: .ai for enterprise credibility, .com for active services, .com.au for Australian market trust, EMDs for vertical-specific SEO capture.

source: hive/progress/session_22_handoff.md (Session 22, Domain Strategy)

genesis_action: Use sunaiva.ai for enterprise-facing materials. sunaivadigital.com for API and production services. sunaiva.com.au for Australian market trust. EMDs for SEO.