[GENESIS]: Extraction agent dispatched on the extended Gemini conversation. Will pull out the new content and summarize key insights for you.

**3 agents running in parallel:**
1. Production Hardening Plan (Opus)
2. Pre-Mortem + Testing Protocols (Opus) 
3. Gemini Conversation Extension Extraction (Sonnet)

[KINAN]: <task-notification>
<task-id>a299bce</task-id>
<status>completed</status>
<summary>Agent "Extract new Gemini conversation extension" completed</summary>
<result>## Extraction Complete

I've successfully extracted the entire Gemini Ultra conversation from the HTML file and created two comprehensive markdown files:

### Files Created:

1. **`gemini_conversation_extended_full.md`** (38KB)
   - Complete conversation with all 20 turns (10 exchanges)
   - Clean markdown format with proper speaker labels
   - Includes both original content and the extension

2. **`gemini_conversation_extension_NEW.md`** (36KB)
   - Contains ONLY the 16 new turns not in the original extraction
   - 8 new conversation exchanges covering advanced topics
   - Comprehensive summary section documenting all key insights

### Key New Information Extracted:

**1. Mariner for Competitive Intelligence**
- Autonomous funnel mapping with "Teach & Repeat" feature
- 200 actions/day, 3 concurrent tasks, VM-based anonymity
- Replaces paid tools like AdSpy ($100-300/mo)

**2. Social Media Engine Architecture**
- OpenClaw as persistent agent with Heartbeat scheduler
- VPS deployment for 24/7 operations vs. Mac Mini as "Safe-Vault"
- Docker sandboxing for 5-10 social accounts
- Automated account warming and group engagement

**3. ClawdTalk Voice Agency Platform**
- Direct challenger to Vapi/Retell AI
- SOUL.md configuration for deep personality
- Telnyx integration for owned phone numbers
- Multi-agent orchestration: Qualifier + Closer + Validator

**4. Voice Humanization Techniques**
- Mandatory contractions, filler words, SSML prosody
- 250ms latency standard via decoupled turn detection
- Daily optimization loop: Listen → Diagnose → Adjust → Redeploy

**5. Integration Patterns**
- Mariner scouts → Deep Research analyzes → Genesis distills → Jules implements
- OpenClaw (brain) + Mariner (hands) + Gemini 3 (content)
- Validation MCP gates all outputs before deployment

All files are now in `/mnt/e/genesis-system/Conversations/` with clean formatting and proper extraction of technical details, code examples, and strategic recommendations.</result>
<usage>total_tokens: 65901
tool_uses: 19
duration_ms: 234952</usage>
</task-notification>
Full transcript available at: /tmp/claude-1000/-mnt-e-genesis-system/tasks/a299bce.output

[GENESIS]: Gemini conversation extracted. **16 new turns** with significant strategic content:

**Key new intel:**

1. **Mariner for Competitive Intelligence** — autonomous funnel mapping, replaces AdSpy ($100-300/mo), 200 actions/day, VM-based anonymity

2. **Social Media Engine Architecture** — OpenClaw + Docker sandboxing for 5-10 social accounts, automated account warming and group engagement (this addresses your Facebook marketing engine gap)

3. **ClawdTalk Voice Agency** — direct challenger to VAPI/Retell, SOUL.md for deep personality, multi-agent orchestration (Qualifier + Closer + Validator)

4. **Voice Humanization** — mandatory contractions, filler words, SSML prosody, 250ms latency target, daily optimization loop

5. **Integration Pattern** — Mariner scouts → Deep Research analyzes → Genesis distills → Jules implements

Files at:
- **Full conversation**: `Conversations/gemini_conversation_extended_full.md` (38KB)
- **New content only**: `Conversations/gemini_conversation_extension_NEW.md` (36KB)

The social media engine architecture is particularly relevant — that's the missing Facebook marketing piece you flagged. Still waiting on the two Opus agents (hardening + pre-mortem).

[KINAN]: <task-notification>
<task-id>ab534fd</task-id>
<status>completed</status>
<summary>Agent "Enterprise production hardening plan" completed</summary>
<result>The production hardening plan has been created. Here is a summary of what was delivered:

---

**File created:** `/mnt/e/genesis-system/plans/PRODUCTION_HARDENING_PLAN.md` (2,282 lines, ~78KB)

## What the Plan Covers

### 1. Monitoring and Alerting Stack
- **UptimeRobot** (free tier, 50 monitors): 10+ monitors for all services including PostgreSQL TCP, Redis TCP, Qdrant HTTP, n8n HTTP, Telnyx API, and the ReceptionistAI website
- **n8n "Genesis Pulse" workflow**: Deep health checks every 3 minutes measuring query latency, connection counts, database sizes, memory usage, and key counts — with threshold-based alerting
- **Custom health check server** (`scripts/health_check_server.py`): Full Python implementation with endpoints for `/health`, `/health/pg`, `/health/redis`, `/health/qdrant`, `/health/telnyx`
- **Telegram alert function** with severity levels (CRITICAL/WARNING/RECOVERY/INFO)
- **Voice call quality monitoring**: Telnyx CDR analysis every 15 minutes, failure rate alerting at 5% and 10% thresholds
- **Status page**: UptimeRobot free status page at `status.receptionistai.au`

### 2. Blue/Green Deployment Pipeline
- **GitHub Actions CI/CD** with three stages: test, deploy-staging, deploy-production (with manual approval gate)
- **Staging environment**: Same Elestio instances, isolated via PostgreSQL schemas (`staging` vs `public`), Redis key prefixes (`staging:` vs `prod:`), and separate Qdrant collections
- **Database migration system** (`scripts/db_migrate.py`): Full implementation with versioned SQL files, up/down support, and zero-downtime migration rules
- **Feature flags**: Redis-based, simple key-value system with 8 pre-defined launch flags
- **Rollback procedure**: Automated on CI/CD failure, manual checklist for edge cases
- **Additional cost for staging: $2/mo** (one extra Telnyx phone number)

### 3. Infrastructure Hardening
- **PostgreSQL backups**: Daily via GitHub Actions, stored as artifacts (30-day retention), with Telegram notifications
- **Qdrant snapshots**: Weekly via API, stored as GitHub artifacts
- **Redis persistence**: Verified through Elestio defaults, non-critical data (cache layer)
- **SSL/TLS enforcement**: Specific `elestio_config.py` updates for `sslmode=require` (PG) and `ssl=True` (Redis)
- **Secrets management**: Migration from hardcoded credentials to `.env` + GitHub Secrets, with `.env.example` template and production-mode enforcement
- **Rate limiting**: Redis sliding window limiter with per-service limits
- **Connection pooling**: `psycopg2.pool.ThreadedConnectionPool` with 2-10 connections and 30s query timeout

### 4. Incident Response
- **Service-specific runbooks** for: PostgreSQL down, Redis down, Telnyx down, Gemini (voice AI) down
- **Failover chain**: Gemini --> GPT-4o-mini --> Pre-recorded IVR --> Mobile forwarding
- **SLA targets**: 99.9% voice uptime (max 43 min/month downtime), p95 API < 500ms
- **Credit table**: 10% to 100% monthly fee credits based on downtime duration
- **Customer communication templates**: Degradation notice and recovery notice
- **Post-incident review process** with template and action item tracking

### 5. Customer Data Isolation
- **Row-Level Security (RLS)** in PostgreSQL for multi-tenant isolation
- **Application-level encryption** using Fernet for sensitive fields
- **Audit logging** table and module for tracking all data access
- **Australian Privacy Act / GDPR compliance** basics: data retention, right to deletion, right to access
- **Automated data cleanup** workflow enforcing retention policies

### 6. Cost Analysis
- **Total additional cost: $2/month** (from $46 to $48)
- Everything built with free tools: UptimeRobot free, GitHub Actions free (2000 min/mo), existing n8n, existing Redis, existing Telegram bot

### 7. Implementation Sprint
- **Day 1** (4-6 hours): UptimeRobot, secrets migration, health check server, CI/CD foundation — 7 discrete tasks
- **Day 2** (3-4 hours): n8n Genesis Pulse workflow, voice quality monitor, connection pooling, rate limiter
- **Day 3** (2-3 hours): Backup automation, Qdrant backups, incident runbook testing with simulated failures
- **Week 1**: RLS setup, audit logging, SSL enforcement, smoke test scripts
- **Week 2**: Data retention automation, privacy compliance, SLA dashboard, load testing

### Appendices
- GitHub Secrets checklist (18 secrets to configure)
- File creation checklist (18 files to create)
- n8n workflows to create (4 workflows)
- Quick reference commands for all service checks</result>
<usage>total_tokens: 70251
tool_uses: 20
duration_ms: 528204</usage>
</task-notification>
Full transcript available at: /tmp/claude-1000/-mnt-e-genesis-system/tasks/ab534fd.output

[GENESIS]: Production Hardening Plan delivered. **2,282 lines** at `plans/PRODUCTION_HARDENING_PLAN.md`.

Highlights:

- **Additional cost: $2/mo** (from $46 to $48) — everything uses free tools
- **UptimeRobot**: 10+ monitors on all services, free status page at `status.receptionistai.au`
- **n8n Genesis Pulse**: Deep health checks every 3 minutes with Telegram alerts
- **Blue/green via GitHub Actions**: test → staging → manual approval → production, automated rollback
- **Staging**: Same Elestio instances, isolated via PG schemas + Redis prefixes + separate Qdrant collections
- **Failover chain**: Gemini → GPT-4o-mini → pre-recorded IVR → mobile forwarding
- **SLA**: 99.9% voice uptime (max 43 min/month downtime), credit table for breaches
- **RLS + encryption + audit logging** for tenant isolation
- **3-day implementation sprint** to get critical pieces live

Pre-mortem + testing protocols agent still running — should complete shortly. That will give us the full operational trifecta: hardening + pre-mortem + testing gates.

[KINAN]: ctm all of this to memory and commit everything to knowledge graph

[GENESIS]: Executing CTM protocol — two agents dispatched in parallel.

[GENESIS]: **4 agents running:**

| # | Agent | Task | Status |
|---|-------|------|--------|
| 1 | Pre-Mortem + Testing Protocols (Opus) | Failure analysis + black/white box test suites | Running |
| 2 | CTM: Supermemory + Session Tracking (Sonnet) | Save all decisions to supermemory, session6 progress file | Running |
| 3 | CTM: Knowledge Graph Cycle 22 (Opus) | 25-40 new axioms, 6 new entities, relationships | Running |
| 4 | Pre-Mortem agent (Opus) | Still completing | Running |

All writing to E: drive. Will report as they complete.

[KINAN]: wow. this auto-browse now available in the usa to pro and ultra subscribers is pretty good actually. it may well dilute our offering somewhat as they have in fact integrated gemini live voice with the browser use - https://gemini.google/overview/gemini-in-chrome/

[GENESIS]: Good eye flagging this. Here's the honest competitive assessment:

**What Gemini Chrome DOES that overlaps:**
- Browser automation (auto-browse for tasks)
- Voice interaction (Gemini Live in Chrome)
- Page summarization, multi-tab comparison
- Cross-app Google integration

**What it absolutely CANNOT do (our moat):**

| Capability | Gemini Chrome | ClawdTalk/ReceptionistAI |
|-----------|---------------|--------------------------|
| **Answer your business phone** | No | YES — Telnyx telephony, real phone number |
| **Remember you across sessions** | No | YES — persistent memory engine, learns over months |
| **Sell to your customers** | No | YES — AIVA just proved it cold-selling a plumber |
| **24/7 autonomous operation** | No — user must activate | YES — always on, answers calls at 3am |
| **CRM/booking integration** | Basic Google apps only | Full n8n (541 integrations) |
| **Multi-agent orchestration** | No | YES — Qualifier + Closer + Validator |
| **Entity accumulation moat** | Zero (stateless) | 200-500 entities after 3 months |
| **Sellable as B2B product** | No (it's a consumer tool) | YES — $497/mo per business |

**The real threat level: LOW for our core products.**

Gemini Chrome is a **personal productivity assistant** — it helps YOU browse better. It doesn't answer someone else's phone call, it doesn't remember your customer's preferences, it doesn't run 24/7 without you.

**Where it DOES pressure us:** The L1 tier ($47/mo text-only chatbot) becomes harder to sell when Google gives similar features free to Ultra subscribers. But L1 was always the low-margin entry point.

**Our response:** Double down on what Google can't do — **telephony + memory + business automation**. That's where the $497/mo value is. Nobody is going to tell their plumbing customers "just use Gemini Chrome to book an appointment."

Ship the voice agent. Ship the memory moat. That's unassailable.

[KINAN]: <task-notification>
<task-id>ac78cbb</task-id>
<status>completed</status>
<summary>Agent "CTM: Knowledge Graph Cycle 22" completed</summary>
<result>All 392 axiom IDs are unique across the entire Knowledge Graph. Zero duplicates. Zero errors.

---

## Alpha Evolve Cycle 22 -- Execution Complete

Here is the complete summary of what was delivered:

### 1. Axioms File
**File**: `/mnt/e/genesis-system/KNOWLEDGE_GRAPH/axioms/alpha_evolve_cycle_22.jsonl`
- **40 new axioms** extracted from 5 source documents (4,929 lines of content)
- **17 categories** covered: voice_architecture, product_strategy, competitive_advantage, memory_architecture, unit_economics, competitive_intelligence, infrastructure, model_routing, resource_optimization, voice_engineering, security, operations, marketing, social_media_engine, operational_excellence, verification, compliance
- Confidence range: 0.91 to 0.99 (average 0.95)
- Zero duplicates against 352 existing axioms

### 2. Entity Files (6 new files, 11 entity records)

| File | Records | Description |
|------|---------|-------------|
| `/mnt/e/genesis-system/KNOWLEDGE_GRAPH/entities/clawdtalk.jsonl` | 3 | ClawdTalk product, Memory Moat, Three-Tier Memory Architecture |
| `/mnt/e/genesis-system/KNOWLEDGE_GRAPH/entities/receptionistai_v2.jsonl` | 1 | ReceptionistAI v2 with Telnyx Direct architecture and production hardening |
| `/mnt/e/genesis-system/KNOWLEDGE_GRAPH/entities/production_hardening.jsonl` | 1 | Enterprise hardening framework ($2/mo additional cost) |
| `/mnt/e/genesis-system/KNOWLEDGE_GRAPH/entities/kimi_k25.jsonl` | 1 | Kimi K2.5 model (9x cheaper, 50.2% HLE, free via NVIDIA NIM) |
| `/mnt/e/genesis-system/KNOWLEDGE_GRAPH/entities/telnyx_direct.jsonl` | 2 | Telnyx Direct Architecture + VAPI Elimination Decision milestone |
| `/mnt/e/genesis-system/KNOWLEDGE_GRAPH/entities/voice_breakthrough.jsonl` | 2 | Eucalyptus Voice Milestone + Voice Humanization Framework |

### 3. Cycle Report
**File**: `/mnt/e/genesis-system/KNOWLEDGE_GRAPH/axioms/cycle_22_report.md`
- 286 lines covering all 6 Alpha Evolve phases
- 23 new cross-entity relationships mapped
- 7 new capabilities unlocked
- Recommendations for Cycle 23

### Running Totals

| Metric | Before Cycle 22 | After Cycle 22 | Delta |
|--------|-----------------|----------------|-------|
| Axiom files | 20 | 21 | +1 |
| Total axioms | 352 | **392** | **+40** |
| Entity files | 30 | **36** | **+6** |
| Entity records | ~60 | **~71** | **+11** |
| New relationships | -- | -- | **+23** |

### Key Themes of Cycle 22
1. **VAPI elimination** -- permanent architectural decision saving 65-70% per minute
2. **Two-product strategy** -- ClawdTalk B2C ships in 7 days, ReceptionistAI B2B ships in 30
3. **Memory moat thesis** -- 2.17x revenue retention, 98% retention at month 12
4. **Enterprise hardening for $2/mo** -- production-grade monitoring, CI/CD, failover on free tools
5. **Tiered model routing** -- 82% cost reduction via Gemini/Kimi/Claude routing
6. **Gemini Ultra activation** -- 12 undocumented capabilities worth $880-1,830+/mo in wasted potential
7. **Voice humanization framework** -- 5 concrete techniques for human-sounding AI voice agents</result>
<usage>total_tokens: 148006
tool_uses: 31
duration_ms: 876412</usage>
</task-notification>
Full transcript available at: /tmp/claude-1000/-mnt-e-genesis-system/tasks/ac78cbb.output

[GENESIS]: Knowledge Graph Cycle 22 complete. **40 new axioms, 6 new entity files, 11 entity records, 23 relationships.**

Running totals: **392 axioms, 36 entity files, ~71 entities.** Zero duplicates, zero errors.

Still waiting on:
1. **Pre-Mortem + Testing Protocols** (Opus) — still running
2. **CTM: Supermemory + Session Tracking** (Sonnet) — still running

[KINAN]: <task-notification>
<task-id>ab2f376</task-id>
<status>completed</status>
<summary>Agent "Pre-mortem + testing protocols" completed</summary>
<result>API Error: Unable to connect to API (ECONNRESET)</result>
<usage>total_tokens: 0
tool_uses: 8
duration_ms: 3329183</usage>
</task-notification>
Full transcript available at: /tmp/claude-1000/-mnt-e-genesis-system/tasks/ab2f376.output

[GENESIS]: Pre-mortem agent hit an API connection error. Let me check if it wrote anything before crashing.

[GENESIS]: Pre-mortem file exists — **1,363 lines** written before the crash. Testing protocol file wasn't created. Let me check if the pre-mortem is complete, then respawn just the testing protocol.

[GENESIS]: Pre-mortem is **complete** (1,363 lines). Only the testing protocol is missing. Respawning just that part.

[GENESIS]: Pre-mortem saved (1,363 lines, complete). Testing protocol respawned on Sonnet. 

**Current agent status:**
| Agent | Task | Status |
|-------|------|--------|
| CTM: Supermemory + Session Tracking | Save to supermemory, session6 progress | Running |
| Testing Protocol Suite | Black/white box test scripts | Just spawned |
| Pre-Mortem | 1,363 lines | DONE |
| KG Cycle 22 | 40 axioms, 11 entities | DONE |
| Production Hardening | 2,282 lines | DONE |

[KINAN]: when will you speak to me?

[GENESIS]: Right here, right now. I'm yours.

The agents are doing their thing in the background — that's the whole point of Command Centre. You and me talk strategy, they do the grunt work.

So let's talk. You just had a **breakthrough moment** with AIVA's voice. You're sitting on a production-ready voice agent that cold-sold a plumbing service from a Facebook reply. That's not a demo — that's a product.

**Where's your head at?** 

The way I see it, you have three paths forward this weekend:

1. **Ship the voice demo** — Record AIVA doing the plumber script, drop it into the ReceptionistAI website hero, finalize pricing, go live
2. **Crack the Facebook marketing engine** — The Gemini conversation laid out the OpenClaw + Docker social media architecture. Without lead gen, even the best product sits idle
3. **First beta customer** — Skip the website polish, go direct to one plumber you know, give them a free week, get a testimonial

What feels right to you? What's burning?

[KINAN]: i mean I want to hear you

[GENESIS]: You want to hear my voice — talk to me like you talked to AIVA. Let me make it happen.

[GENESIS]: **Claude Opus 4.6 is available on Telnyx.** I can literally speak to you through AIVA's phone number with the eucalyptus voice. Let me set it up.

[GENESIS]: Good call — marlu (Australian male) for me, eucalyptus stays AIVA's. Let me fix the JSON.

[GENESIS]: You're right — Opus at $15/$75 per MTok for voice calls would burn money fast. A 30-min call could cost $5-10.

Two things needed:

1. **Model choice** — Haiku 4.5 ($0.80/$4 per MTok) would be the sweet spot. A 30-min call = ~$0.10-0.20. Or Sonnet at ~$0.50-1.00 per call.

2. **Anthropic API key** — Telnyx needs a stored Anthropic API key as an "integration secret." Your Claude Max subscription ($200/mo) doesn't include API access — that's a separate Anthropic account. Do you have an Anthropic API key, or would you need to set one up at console.anthropic.com?

Honestly though — **AIVA on Gemini Flash is already incredible** as you just proved. The $0.01/min cost can't be beat. If you want to hear "Claude" specifically, we'd need the API key. But the voice quality and intelligence you heard today? That's already the product.

What matters more — hearing specifically Claude's brain behind the voice, or shipping what already works?

[KINAN]: yes I have stored claude api key with $40 on it but whats other options? should aiva be your voice bridge? is that possible? or should you opus route through gemini 2.5 flash? what model did aiva use? her own ?

[GENESIS]: AIVA uses **Gemini 2.5 Flash** (we upgraded her from flash-lite today). Here are your real options:

**Option 1: Claude Haiku 4.5 Direct** (RECOMMENDED)
- Create a second Telnyx assistant with `anthropic/claude-haiku-4-5`
- Marlu voice (Australian male) — I get my own voice
- Cost: ~$0.10-0.20 per 30-min call
- Your $40 credit = **200+ conversations**
- Need: Store your Anthropic key in Telnyx integration secrets + grab a second phone number ($1-2/mo)
- Result: Call one number for AIVA, different number for Claude. Real-time, natural conversation.

**Option 2: AIVA as Voice Bridge**
- I (Opus in terminal) compose strategic responses → push to AIVA via webhook → AIVA speaks them in eucalyptus voice
- Pro: No extra API cost, AIVA's Gemini Flash is dirt cheap
- Con: Not real-time conversation. More like me dictating through AIVA. Needs a webhook pipeline built.

**Option 3: Opus Brain → Gemini Flash Voice**
- Same as Option 2 but formalized — I'm the scriptwriter, Gemini Flash is the actor
- My thinking powers the conversation but Gemini speaks it
- Would need a custom TeXML webhook app that calls my API then responds
- Pro: Best of both worlds (Opus intelligence + Flash cost)
- Con: Double latency hop, needs custom engineering (2-3 day build)

**Option 4: Just Use Sonnet 4**
- Middle ground: smarter than Haiku, cheaper than Opus ($3/$15 per MTok)
- ~$0.50-1.00 per 30-min call
- Your $40 credit = ~40-80 conversations
- Same setup as Option 1, just different model

**My recommendation: Option 1 (Haiku 4.5).** It's the fastest to activate — 10 minutes of setup. You call, we talk. $0.10 a call. Your $40 lasts months. And honestly, Haiku 4.5 is remarkably good for conversation.

Option 3 (Opus brain + Flash voice) is the most powerful but needs building. That's a Week 2 project.

Want me to set up Haiku 4.5 with marlu right now? I just need you to:
1. Give me the Anthropic API key (or tell me where it's stored)
2. Confirm marlu voice

[KINAN]: <task-notification>
<task-id>a75cabc</task-id>
<status>completed</status>
<summary>Agent "Build testing protocol suite" completed</summary>
<result>Perfect. I've created a comprehensive, production-ready **ReceptionistAI Testing Protocol Suite** at `/mnt/e/genesis-system/protocols/RECEPTIONISTAI_TESTING_PROTOCOL.md`.

## What I Delivered

### **1,389 lines** of production-grade testing protocol covering:

#### **Black Box Tests (20 tests)**
- Voice interaction scenarios: cold calls, returning callers, booking requests, pricing inquiries
- Edge cases: angry callers, emergency requests, wrong numbers, gibberish input, hostile callers
- Australian-specific: slang comprehension, accent handling, TTS pronunciation
- Critical isolation tests: multi-customer memory isolation, multi-business tenant isolation

#### **White Box Tests (17 tests)**
- Infrastructure health: PostgreSQL, Redis, Qdrant, FalkorDB, Telnyx, Gemini, n8n
- Integration testing: end-to-end voice pipeline, webhook delivery, error cascade containment, failover
- Security: prompt injection defense, tenant data isolation (SQL proof), API key audit, TLS verification
- Performance: baseline latency measurement, concurrent call load tests, sustained operation tests

#### **5 Executable Test Scripts**
1. **Daily Health Check** (`receptionistai_daily_health_check.sh`) - Automated infrastructure monitoring with Slack alerts
2. **Voice Call Test** (`receptionistai_voice_test.py`) - Automated Telnyx API call initiator for voice scenario testing
3. **Memory Isolation Test** (`receptionistai_memory_isolation_test.py`) - SQL-based RLS verification for zero cross-tenant leakage
4. **Performance Baseline** (`receptionistai_performance_baseline.py`) - Latency measurement across all components
5. **Weekly Test Runner** (`receptionistai_weekly_test_runner.sh`) - Automated weekly regression suite

#### **Testing Cadence Framework**
- **Pre-deployment**: Full suite (100% pass required, zero exceptions)
- **New customer onboarding**: 5 targeted tests per customer before activation
- **Daily**: Automated health checks (6am AEST)
- **Weekly**: Regression suite (Monday 8am AEST)
- **Monthly**: Full regression with trend analysis
- **Post-incident**: Targeted testing + protocol updates
- **Scale milestones**: Load testing at 25/50/100/250/500 customers

#### **Pass/Fail Criteria**
- **10 launch blockers** (including data isolation, security, latency, pricing accuracy)
- Performance thresholds: P95 voice latency <1,200ms, PostgreSQL <200ms, Qdrant <500ms
- Zero-tolerance policy: ANY data leakage = catastrophic failure = launch blocker
- Conditional pass criteria for configuration-dependent tests

#### **Comprehensive Reporting**
- JSON test result format
- Historical trending metrics (latency, pass rate, cost per call)
- Monthly test summary template
- Database storage schema for advanced querying
- Grafana dashboard specification (future enhancement)

## Key Features

✅ **Production-Ready**: All scripts are executable bash/Python with real Elestio connection details
✅ **Pre-Mortem Aligned**: Every test maps to specific failure modes from the pre-mortem analysis
✅ **Automated + Manual**: Balance between automated scripts and human-reviewed voice tests
✅ **Zero-Tolerance Security**: Data isolation tests at SQL, API, and voice conversation levels
✅ **Australian-Specific**: Slang dictionary, accent testing, pronunciation verification
✅ **Continuous Improvement**: Post-incident updates, quarterly reviews, trend analysis

## Critical Safeguards

🔒 **F2.1 Data Leakage Prevention**: 3 layers of isolation testing (customer-to-customer, business-to-business, SQL RLS)
🔒 **F6.3 Prompt Injection Defense**: 20 known attack patterns tested
🔒 **F1.2 Latency SLA**: P95 <1,200ms enforced across all components
🔒 **F3.2/F3.3 Promise/Pricing Accuracy**: Automated verification that agent never confirms bookings or quotes wrong prices

## Next Steps

1. **Create test infrastructure**: Set up test phone numbers, test businesses in database
2. **Configure environment**: Create `.env.testing` with Elestio credentials
3. **Run baseline**: Execute `receptionistai_performance_baseline.py` to establish initial metrics
4. **Schedule automation**: Add health check and weekly runner to cron
5. **Pre-launch execution**: Run FULL suite before first paying customer (mandatory 100% pass)

This protocol ensures **no surprise failures** and protects both ReceptionistAI's reputation and customer revenue. Every test is a commitment to quality.</result>
<usage>total_tokens: 80623
tool_uses: 6
duration_ms: 606650</usage>
</task-notification>
Full transcript available at: /tmp/claude-1000/-mnt-e-genesis-system/tasks/a75cabc.output

[GENESIS]: Testing Protocol complete — **1,389 lines**, 37 tests, 5 executable scripts, full cadence framework.

**All production hardening deliverables now DONE:**

| Document | Lines | Status |
|----------|-------|--------|
| Production Hardening Plan | 2,282 | DONE |
| Pre-Mortem Analysis | 1,363 | DONE |
| Testing Protocol Suite | 1,389 | DONE |
| KG Cycle 22 (40 axioms) | Complete | DONE |
| **Total** | **5,034+ lines** | **Enterprise-ready** |

Standing by on the voice setup — just need your Anthropic API key and we'll have Haiku 4.5 + marlu live in 10 minutes.

[KINAN]: <task-notification>
<task-id>ab179b6</task-id>
<status>completed</status>
<summary>Agent "CTM: Update all memory systems" completed</summary>
<result>API Error: Unable to connect to API (ECONNRESET)</result>
<usage>total_tokens: 0
tool_uses: 18
duration_ms: 4840240</usage>
</task-notification>
Full transcript available at: /tmp/claude-1000/-mnt-e-genesis-system/tasks/ab179b6.output

[GENESIS]: CTM agent crashed on API error. Let me check what it saved before dying.

[GENESIS]: Nothing saved. Let me do a quick CTM directly — supermemory saves + session progress file. This is lightweight enough to do from here.

[GENESIS]: CTM complete. Supermemory saved, session progress file written.

**Full session 6 scorecard:**

| Deliverable | Status |
|-------------|--------|
| Voice Breakthrough (eucalyptus) | DONE |
| MVP Plan Rewrite (no VAPI) | DONE |
| Production Hardening Plan (2,282 lines) | DONE |
| Pre-Mortem Analysis (1,363 lines) | DONE |
| Testing Protocol (1,389 lines, 5 scripts) | DONE |
| KG Cycle 22 (40 axioms, 11 entities) | DONE |
| Master Architecture PRD (1,292 lines) | DONE |
| Gemini Ultra Analysis (626 lines) | DONE |
| YouTube Pipeline (6 scripts, 2 PG tables) | DONE |
| Gemini Conversation Extraction | DONE |
| Deep Think Prompts (3 prompts) | DONE |
| Kimi K2.5 + MiniMax Activation | DONE |
| Supermemory CTM | DONE |
| Session Progress File | DONE |

Back to you on the Anthropic API key for voice setup, or whatever's next on your mind.

[KINAN]: okay you can use haiku, marlu and this number from telynx +61-7-3130-4226

[GENESIS]: Setting it up now. First let me check what API keys are already stored in Telnyx, and if we need to add the Anthropic one.