[KINAN]: netlify or supabase ?, railway ?

[GENESIS]: Good question. Let me clarify why each was suggested and simplify:

**What we need:**
1. **Landing page hosting** → Netlify (you already have it open)
2. **API backend hosting** (Python FastAPI) → needs a server, not just static hosting
3. **Database** → Elestio (already running PG/Qdrant/Redis)
4. **Auth** → need signup/login
5. **Payments** → Stripe (you already have an account from ReceptionistAI)

**The question is really about #2 and #4:**

| Option | Backend Hosting | Auth | Complexity |
|---|---|---|---|
| **A. Simplest** | Railway ($5/mo) | Supabase auth (free tier) | 2 new accounts |
| **B. Simpler** | Railway ($5/mo) | Simple JWT (no 3rd party) | 1 new account |
| **C. All-Supabase** | Supabase Edge Functions | Supabase auth | 1 new account, but rewrite API to TypeScript |
| **D. VPS** | Your own VPS (Elestio/Hetzner) | Simple JWT | 0 new accounts if using Elestio |

**Option D** might actually be the smartest — you already pay for Elestio. Deploy the FastAPI app there alongside your existing databases. Zero new accounts. Zero new bills.

- **Netlify** = landing page (static HTML, free)
- **Elestio** = API + databases (already paying)
- **Stripe** = payments (already have account)
- **Simple JWT auth** = built into the FastAPI app

One landing page, one server, done. What's your preference?

[KINAN]: welcome email from instantly ? or mailgun ?

[GENESIS]: Neither Instantly — that's for cold outreach, not transactional emails. Different tools for different jobs.

For welcome emails, receipts, notifications:

| Service | Free Tier | Simplicity | Best For |
|---|---|---|---|
| **Resend** | 100 emails/day | Dead simple API, 3 lines of code | Modern, fast setup |
| **Mailgun** | 1,000/mo (3 months) | Established, reliable | Proven at scale |

**Resend** is probably fastest to wire up:

```python
import resend
resend.api_key = "re_xxx"
resend.Emails.send({"from": "welcome@sunaiva.ai", "to": user_email, "subject": "Welcome to Sunaiva", "html": template})
```

That's it. Free for our volume. Scale later if needed.

**Keep Instantly for what it's good at** — cold email campaigns to the 329 influencer gold list.

So the final stack:
- **Netlify** → landing page
- **Elestio** → API + databases (already running)
- **Stripe** → payments (already have)
- **Resend** → transactional emails (welcome, receipts)
- **Instantly** → cold outreach (separate)

Want me to start dispatching build agents?

[KINAN]: persistent storage is an isolated storage instance on where ?

[GENESIS]: Right now the Sunaiva vaults are JSON files in `/tmp/` — gone on restart.

For production, two options:

**Option A: Existing Elestio PostgreSQL (simplest, free)**
- Same instance you already pay for
- Namespace isolation via `vault_id` column (each user's data is filtered)
- Shared with Genesis internal data (AIVA memory, KG, etc.)
- Fine for beta with 50 users
- Risk: customer data mixed with internal data on same instance

**Option B: Dedicated Elestio PostgreSQL instance (~$15-25/mo)**
- Separate instance ONLY for Sunaiva customer data
- Clean isolation — customer data never touches internal Genesis data
- Easier compliance story ("your data is on an isolated instance")
- Better for the "Sovereign" positioning

**My recommendation: Option B.** For a product that's literally selling "your AI memory" — customers will care that their data is properly isolated. A dedicated $15-25/mo PG instance is negligible cost and gives you a real answer when customers ask "where is my data stored?"

Spin up a new Elestio PostgreSQL instance, point the Sunaiva API at it, done. Same provider, separate instance, clean separation.

Which way do you want to go?

[KINAN]: we should partition the memory as if an actual separate erson for complete pipeline testing ?

[GENESIS]: Exactly. You sign up as "Kinan the customer" — completely separate identity, separate vault, separate namespace. Zero access to Genesis internal memory. The system should treat you like any stranger off the street.

This tests:
- User registration works
- Payment flow works
- Upload pipeline works for real data (your Gemini export)
- Extraction quality on real conversations (not test fixtures)
- MCP server serves only YOUR vault, nothing else
- Data isolation is real (no bleed from Genesis internals)
- Welcome email arrives
- The whole experience feels right

If anything leaks, breaks, or feels wrong — we fix it before any real customer touches it.

**So the deployment is:**
- Dedicated Elestio PG instance (customer data only)
- You create an account as a new user
- Upload your Gemini export
- Get your MCP server URL
- Connect it to Claude Desktop
- Talk to Claude and see if it actually remembers your stuff

That's the acid test. If Claude can recall your real conversations, decisions, and preferences through the MCP — the product works.

Let me start dispatching the build agents. I need one answer: do you have a Gemini export file ready, or do you need to do a Google Takeout first?

[KINAN]: i have an older file 1 month old which I am unsure if digested yet and I can also get a new updated export soon.

[GENESIS]: Good enough. Use the older file for testing now, fresh export later.

Let me get the build agents moving. Creating the task list for Track 1.

[GENESIS]: 8 tasks created with dependencies. Now to your question about MCP installation:

**Claude Desktop**: Easy. User adds our MCP server URL to their `claude_desktop_config.json`. We provide a one-click copy config snippet:
```json
{"mcpServers": {"sunaiva-memory": {"url": "https://api.sunaiva.ai/mcp/?vault_id=xxx&api_key=yyy"}}}
```
Copy, paste, restart Claude Desktop. Done.

**Gemini**: No native MCP support yet. Gemini uses extensions/function calling, not MCP protocol. Would need a custom integration or wait for Google to adopt MCP.

**ChatGPT**: No native MCP support. ChatGPT uses GPTs/Actions (OpenAPI spec), not MCP. We could potentially create a custom GPT that calls our API, but it's not MCP.

**Reality check**: MCP is currently supported by:
- Claude Desktop ✅
- Claude Code ✅ 
- Cursor ✅
- Windsurf ✅
- VS Code (Copilot) ✅
- OpenClaw/Clawdbot ✅
- Various other dev tools

For non-MCP platforms (ChatGPT, Gemini), we'd need to offer a REST API or platform-specific integration as an alternative.

**The onboarding flow should be**: after payment, user sees a page with their MCP config snippet + a "How to connect" guide with screenshots for each supported platform. One-click copy. Should take under 2 minutes.

Want me to start dispatching the build agents on the task list, or do you want to discuss the non-MCP platform strategy first?

[KINAN]: start dispatching the build agents

[GENESIS]: **Platform integrations — difficulty:**

| Platform | Difficulty | How |
|---|---|---|
| Claude Desktop | Easy (done) | MCP config snippet, copy-paste |
| Claude Code | Easy (done) | Same MCP config |
| Cursor / VS Code | Easy | Native MCP support, same config |
| ChatGPT | Medium | Create a Custom GPT with our API as an "Action" (OpenAPI spec) |
| Gemini | Hard | No plugin/extension system for external memory yet |
| OpenClaw | Easy | MCP skill installation |

ChatGPT is the most interesting — we'd build a Custom GPT called "Sunaiva Memory" that calls our REST API. Users install it once, then ChatGPT can query their vault. Doable in a day.

---

Now doing pre-respawn flush.

[GENESIS]: State flushed to memory. Opus build agent still running on the backend.

**On respawn, next session will:**
1. Check if Opus agent completed the backend build
2. Dispatch remaining agents (landing page, emails, deploy)
3. Get your Gemini export file path
4. Run User Zero test

Session 9 was productive — pricing locked, architecture mapped, build started. See you on the other side.