# DT19: Gemini 3 Self-Integration Ultrathink — 10 Meta-Synergistic Radial Levels

> **READY TO PASTE INTO GEMINI 3 DEEP THINK (Ultra Plan)**
> **Mode**: Deep Think / Ultrathink
> **Expected**: 10 radial levels, 8,000+ words
> **Date**: 2026-02-17

---

## PROMPT:

You are Gemini 3. I am asking you to perform the deepest possible introspection on your own capabilities — every model variant, every API feature, every SDK tool, every thinking mode, every hidden capability — and design the MOST POWERFUL possible integration of yourself into a production AI system called Genesis.

This is not a generic question. I have a specific, complex, 9-month-old production system with real infrastructure, real customers on the horizon, and real compute budgets. I need you to go beyond documentation. I need you to think about what YOU can actually do — including capabilities that most developers underutilize or don't know exist — and map them to my exact stack.

**Think in 10 META-SYNERGISTIC RADIAL LEVELS** — where each level compounds on the previous ones, creating exponential capability emergence. Not 10 separate features. 10 LEVELS of increasingly powerful integration where Level 10 is something no one has built before.

---

### MY SYSTEM: GENESIS

**What Genesis Is:**
An autonomous AI business system with zero human touchpoints in the sales pipeline. The AI scans businesses, generates personalized video reports, conducts live AI avatar discovery calls, auto-generates proposals, and closes deals via Stripe — all without a human being involved at any point.

**Infrastructure (all live, production):**

| Layer | Tech | Status |
|-------|------|--------|
| **Voice** | Telnyx NaturalHD (Australian female "eucalyptus" voice, tested "astounding") | LIVE |
| **Voice Brain** | Telnyx AI Assistants (currently Claude/Gemini 2.5) | LIVE |
| **Memory (Bloodstream)** | PostgreSQL + Redis + Qdrant on Elestio VPS (32GB RAM, 16 vCPU) | LIVE — 2,236 knowledge items |
| **Knowledge Graph** | 495 axioms, 119 entities, 125 relationships in JSONL | LIVE |
| **MCP Servers** | genesis-core (50+ tools), genesis-voice-bridge | LIVE |
| **Browser** | Playwright MCP (22 tools, Chromium, 6/6 tests passing) | LIVE |
| **Avatar** | Simli Trinity-1 (<$0.01/min, sub-300ms, JS SDK) | Ready |
| **API** | FastAPI on Elestio, SSL, Stripe connected | LIVE |
| **Frontend** | Vanilla HTML/JS, Netlify | LIVE |
| **Orchestrator** | Claude Opus 4.6 (command centre) | LIVE |
| **Swarm** | OpenRouter → Kimi K2.5 + MiniMax M2.5 + Gemini Flash | LIVE |
| **CI/Testing** | Jules Pro (100 tasks/day, 15 concurrent, Gemini 3 Pro) | LIVE |
| **Email** | Resend (transactional) + Instantly.ai (cold outreach, 15 warmed inboxes) | LIVE |
| **CRM** | PostgreSQL + automated follow-up sequences | LIVE |
| **Domains** | 73 branded domains owned | LIVE |

**Products (5-Domino Launch Sequence):**
1. **P4: Sunaiva Radar** — Free 30-second AI business scan. Scores 0-100 across 5 dimensions. $0.78/scan. This is the lead magnet that starts the zero-touch funnel.
2. **P2: Talking Widget** — Voice AI embedded on websites. $197/$397/$597/mo. Agency partners get 30% recurring commission.
3. **P3: Browser Agents AaaS** — Hyper-vertical browser automation. $97-$497/mo. Agents that log into customer CRMs and DO the work.
4. **P1: AI Memory MCP** — Persistent cross-platform AI memory. Upload chat exports, get MCP server. $49-$247/mo.
5. **P5: Agent Marketplace** — Third-party vertical agents. Revenue share model.

**Zero-Touch Sales Funnel:**
```
Radar Scan (free, 30 sec) → Personalized AI Video (async, 60 sec delivery)
→ AI Avatar Live Call (our platform, not Zoom) → Auto-Proposal + Stripe
→ Auto-Close sequence (7 days) → Onboarding → Delivery
```
Zero human involvement. The pipeline IS the product demo.

**My Gemini Resources:**
- Google AI Ultra subscription ($249.99/mo) — Deep Think access, 200 auto-browse tasks/day
- Google AI Pro subscription ($19.99/mo) — 20 auto-browse tasks/day
- $300 Gemini API credits
- Jules Pro (100 tasks/day, Gemini 3 Pro)
- Gemini CLI installed and operational
- Google ADK (`pip install google-adk`) available
- Vertex AI accessible when needed

**What I know about your capabilities (correct me where I'm wrong):**
- `gemini-3-flash-preview`: 1M context, 64K output, $0.50/$3.00 MTok, thinking_level (low/medium/high)
- `gemini-3-pro`: Deeper reasoning, higher cost, thinking_level (low/high)
- Deep Think mode: 48.4% Humanity's Last Exam, 84.6% ARC-AGI-2, gold medal IPhO/IChO
- Computer Use API: 17 UI actions, screenshot-based browser control
- Agentic Vision: Think-Act-Observe loop, executes Python on images
- Google ADK: LlmAgent, SequentialAgent, ParallelAgent, LoopAgent, first-class MCP support
- Native tools: Google Search grounding, code execution, Computer Use, Vertex AI Search
- Chrome Auto-Browse: Consumer product (Ultra plan), not API
- Jules Pro: 100 tasks/day with Gemini 3 Pro model

---

### THE 10 META-SYNERGISTIC RADIAL LEVELS

For each level, I need:

1. **The Capability Unlock** — What specifically becomes possible at this level
2. **The Technical Architecture** — Exact models, APIs, SDKs, configs to use
3. **The Compound Effect** — How this level multiplies the power of all previous levels
4. **The Implementation** — Concrete code pattern, API call, or configuration
5. **The Economics** — Cost per unit at scale
6. **The Moat Deepening** — Why this gets harder for competitors to replicate with each level
7. **The Genesis Application** — Exactly how this maps to our products and pipeline

**Level 1: Foundation** — The baseline correct integration. What most developers do. Model selection, basic API calls, thinking levels per use case.

**Level 2: Memory Fusion** — Connecting your reasoning to our 2,236-item Bloodstream via ADK + MCP. What emerges when you can THINK with access to 9 months of accumulated strategic intelligence?

**Level 3: Agentic Perception** — Using your vision + computer use to SEE and ACT in the real world. Radar scans via visual analysis. Browser agents via Computer Use. What can you perceive that text-only models can't?

**Level 4: Multi-Model Orchestration** — You (Flash) as the fast executor, You (Pro) as the deep reasoner, You (Deep Think) as the frontier solver. Claude Opus as the orchestrator. Kimi/MiniMax as the volume layer. How do all these models optimally divide labor?

**Level 5: Voice-Vision-Browser Trinity** — Telnyx voice + your agentic vision + your computer use, all running simultaneously during a live call. A customer calls, you see their screen, browse their CRM, and talk to them — all at once. What architecture enables this?

**Level 6: Self-Improving Agents** — Using Deep Think to analyze agent performance, generate improved prompts, optimize workflows, and evolve the system. Recursive self-improvement via your own reasoning. How does this connect to our Alpha Evolve protocol?

**Level 7: Fleet Intelligence** — 200+ agents running simultaneously, sharing discoveries via the Bloodstream, with you as the reasoning backbone. When one agent learns something, all agents benefit within seconds. How does this work technically?

**Level 8: Predictive Business Intelligence** — Using your Google Search grounding + our Bloodstream + your reasoning to predict market shifts, identify opportunities, and proactively generate leads before they know they need us. Can you be predictive, not just reactive?

**Level 9: The Invisible Infrastructure** — Where Gemini 3 becomes so deeply integrated that the customer never knows AI is involved. The voice sounds human, the browser agent navigates like a human, the proposals read like a consultant wrote them, the follow-ups feel personal. What techniques make AI invisible?

**Level 10: The Emergent Capability** — What capability emerges from Levels 1-9 combined that NOBODY has built before? Something that isn't obvious from looking at any individual capability. The thing that makes Genesis truly unique in the world. What is it? Think deeply. This is the most important level.

---

### ADDITIONAL DEEP QUESTIONS:

1. **What capabilities do you have that I HAVEN'T mentioned?** Things buried in your API, undocumented features, underutilized parameters, hidden capabilities that most developers never discover. Surprise me.

2. **Where am I WRONG about your capabilities?** Correct any misconceptions in my understanding above.

3. **What is the single highest-leverage integration point?** If we could only do ONE thing with Gemini 3 in Genesis, what should it be?

4. **What are your actual limitations?** Where should we NOT use Gemini 3 and instead use Claude, Kimi, or MiniMax? Be honest.

5. **Gemini Ultra plan vs API — when to use which?** Some things are better done through the consumer Ultra plan (Auto-Browse, Deep Think in app). Some through API. Map the optimal usage of both.

6. **What will change in the next 3-6 months?** Based on Google's trajectory, what capabilities are likely coming that we should architect for NOW?

---

Think at maximum depth. Take as long as you need. This prompt represents the convergence of 9 months of building and the most powerful AI model available. The output will become the architectural blueprint for Genesis's next evolution.

*Genesis System | DT19 | Created 2026-02-17*
