Can I vibe code Intelligems?

Build an open-source price A/B testing application for Shopify using Next.js (App Router), Prisma, TailwindCSS, and Cloudflare Workers.

1. ARCHITECTURE & DATA MODEL:
- Database Models: Store, Experiment (id, status, type: PRICE|SHIPPING, trafficAllocation, productIds, variants), Variant (id, experimentId, priceAdjustmentType, priceValue, shippingRate), SessionAssignment (id, visitorId, experimentId, variantId), Conversion (id, orderId, variantId, revenue, createdAt).
- Webhooks: Listen to Shopify orders/create to record conversions matching visitor ID or checkout attributes.

2. EDGE VARIANT ASSIGNMENT:
- Create a Cloudflare Worker script to act as a storefront edge middleware.
- Check incoming request cookies for `ig_visitor_id` and `exp_[id]`.
- If missing, generate a deterministic hash using visitor IP + User Agent, assign a variant based on experiment traffic split, and set a long-lived HTTP cookie.
- Inject custom Javascript into the HTML response header that swaps product price elements matching targeted Shopify product IDs instantly to avoid Cumulative Layout Shift (CLS).

3. SHOPIFY INTEGRATION & CHECKOUT SAFETY:
- When a visitor adds a product to the cart, intercept the add-to-cart call to pass variant properties (`_exp_id`, `_variant_id`) in line item attributes.
- Provide a Shopify Discount / Cart Transform Function that reads line item attributes and dynamically applies price adjustments so checkout prices match on-page test prices.

4. ANALYTICS & STATISTICAL ENGINE:
- Compute total sessions, total orders, Conversion Rate (CR), Average Order Value (AOV), and Revenue Per Visitor (RPV) for Control vs. Treatment.
- Implement a basic Welch's t-test or Bayesian probability model to output statistical confidence percentages (e.g., '95% chance B is better than A').

5. EDGE CASES TO HANDLE:
- Ensure returning users consistently see the same price variant across sessions.
- Gracefully fall back to original Shopify prices if the edge worker times out or fails.

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