Can I vibe code Botmind?

Build an AI-powered customer support chat widget and backend service tailored for a Shopify store, replacing Botmind.

1. SYSTEM ARCHITECTURE
- Frontend: React lightweight floating chat widget script, embeddable via script tag or Shopify App Block.
- Backend: Next.js API routes (or Node.js Fastify) using the Vercel AI SDK (or OpenAI Node SDK).
- Vector Storage: Supabase Vector / pgvector to store chunked store policies and product FAQs.
- Integration: Shopify Admin GraphQL API to look up customer orders by order ID + email.

2. DATA MODEL & STATE
- Schema for Conversation Sessions: id, customer_email, chat_history (array of JSON messages), state (bot_active, escalated, closed).
- Schema for FAQ Documents: id, title, content, embedding (vector array), updated_at.

3. CORE FUNCTIONALITY & TOOL CALLING
- Implement OpenAI Function Calling (Tools):
  a) `getOrderStatus({ orderId, email })`: Query Shopify API for tracking numbers, fulfillment status, line items, and estimated delivery dates.
  b) `searchKnowledgeBase({ query })`: Perform vector similarity search on store policy docs.
  c) `escalateToHuman({ reason, context })`: Create a draft ticket in Zendesk/Gorgias or send a Webhook alert to Slack/email, changing session state to `escalated`.
- Implement system prompt: Set persona as helpful e-commerce support agent. STRICTION: Never promise refunds or discounts beyond documented rules. If order details do not match email, enforce verification step.

4. GUARDRAILS & EDGE CASES
- If prompt injection or adversarial intent is detected, route to standard escalation.
- Fallback mechanism: If LLM confidence is low or 2 consecutive queries fail, automatically call `escalateToHuman`.
- Rate limit requests by IP and session identifier to prevent API quota exhaustion.

5. OUT OF SCOPE
- Do not process payment transactions or process direct refunds inside the chat widget.
- Do not build complex email ticket marketing automation; focus strictly on widget live support.

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