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Can you also connect custom AI workflows into my existing WordPress or Shopify site?

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8 min read • Updated 2026-11-13

Stuck at 80%? How to Take Your AI-Built App or Website to a Safe, Live Launch

To take an AI-built prototype from tools like Cursor, Lovable, or Bolt to a safe production launch, you must resolve four last-mile engineering gaps: move all API and database secrets out of client-side code, enforce strict database Row-Level Security, implement cryptographically verified idempotent Stripe webhooks, and configure Server-Side Rendering for Google crawlability.

By Craig Hall • Senior Developer & Conversion Strategist

Creativo Solutions • 1:1 Technical Consultancy & Rescue Hub ↗

Have Craig Set This Up (£195 Call (100% Credited to Sprint))↗

LeadBird SaaS • AI Prototype to Hardened Production Launch Service Hub: 1:1 Technical Consultancy & Rescue Hub ↗

The Problem We Are Solving

The demo looks great on your laptop, but Stripe payments don’t unlock accounts reliably, database rules are wide open, deployment builds keep failing, or Google sees a blank white page.

The Outcome: A hardened, production-grade deployment protocol that secures customer data, fixes webhook edge cases, and gets your product live on your custom domain in 48 hours.

Step 01 of 04

Lock Down Exposed API Keys & Database Row-Level Security (RLS)

When you ask an AI coding assistant to "make the feature work", it takes the shortest path—often dropping secret keys directly into frontend components or turning off database permission checks so errors disappear. Open your browser Network tab and inspect your bundled JS files for any leaked keys [1].

Security Audit • Client Bundle vs. Server Edge

security-inspector.local/bundle-audit

CRITICAL: Strip Secrets from VITE_ / NEXT_PUBLIC_

Any environment variable prefixed with VITE_ or NEXT_PUBLIC_ is shipped publicly to every browser. Move all secret calls to server API routes [1].

Enforce Supabase / Postgres RLS Policies

Enable Row-Level Security on every table and verify policies with an unauthenticated curl request before going live.

Why this matters: A single exposed OpenAI or Stripe secret key in a client bundle can rack up £5,000+ in automated bot abuse overnight or expose your entire customer list under UK GDPR [4].

Step 02 of 04

Replace Fragile Redirects with Signed, Idempotent Stripe Webhooks

AI prototypes usually mark an order as "Paid" when the user lands on /checkout/success. In production, mobile users close their tab on the bank 3D-Secure screen, or Stripe fires the same webhook twice. Build a dedicated server webhook endpoint that verifies the cryptographic stripe-signature header and checks an idempotency key before provisioning accounts [2].

Server Route • Idempotent Stripe Webhook Handler

api.yourdomain.com/webhooks/stripe

Verify Raw Body Signature (stripe.webhooks.constructEvent)

Prevents spoofed POST requests from unlocking premium accounts for free [2].

Transactional Email SPF / DKIM / DMARC Alignment

Wire Postmark or Resend with verified DNS records so password resets and receipts hit the primary inbox, never spam.

Why this matters: Nothing destroys trust faster than a customer paying £195 on their card and getting locked out of their account—or receiving three duplicate welcome emails.

Step 03 of 04

Fix Blank SSR Crawlers, Bundle Bloat & Core Web Vitals

AI tools love importing massive icon libraries, unoptimised 4MB PNGs, and client-only React wrappers. When Googlebot or an AI search crawler visits your URL, it sees an empty <div id="app"></div> with zero metadata [3]. Ensure your public marketing and landing pages render full HTML on the server and pass Core Web Vitals.

Crawler Inspector • SSR HTML & CWV Audit

search.google.com/test/rich-results

Purge Redundant AI-Generated Dependencies

Tree-shake unused npm packages to shrink an 8MB client bundle down to < 180KB for sub-second mobile load times.

Server-Rendered Meta, OpenGraph & JSON-LD

Every public route outputs complete title, canonical, OpenGraph preview cards, and SoftwareApplication / Service schema [3].

Why this matters: If Google cannot read your H1, meta description, and structured schema on the initial server response, your new product will never rank for commercial searches [3].

Step 04 of 04

Move Off Fragile Preview Links to Production CI/CD & Split-Stack Hosting

Stop sharing temporary .vercel.app or Replit preview links with paying customers. Configure a clean GitHub main/staging branch workflow, wire automated build checks on Netlify, Railway, or Cloudways, enforce strict SSL/TLS headers, and connect real-time error and conversion telemetry.

Deployment Pipeline • Split-Stack Production Cutover

railway.app/project/production-pipeline

Automated Staging vs. Production Environments

Separate test Stripe keys and staging databases from live customer data.

Zero-Downtime Custom Domain & SSL Cutover

Verified Cloudflare/DNS routing, CORS lockdown, and automated daily database backups.

Why this matters: With a proper staging-to-production pipeline, you can keep prompting and adding new features safely on a branch without ever breaking your live paying users.

Common Questions & Quick Answers

No. In 90% of rescues, the core UI and product logic you built in Cursor, Lovable, or Bolt is worth keeping. My job is to come in as your senior engineer, refactor the fragile 20% (security, database rules, webhooks, speed, and deployment), and get your existing codebase safely live.

BUILT THE PROTOTYPE, STUCK ON THE LAUNCH? • £195 Call (100% Credited to Sprint)

Let Craig Audit Your Code & Launch Your Product in 48 Hours.

You don’t need to start over. Send me your GitHub repo or preview link—I will lock down your security, fix your Stripe webhooks and database bottlenecks, and deploy your product safely to production.

Book 1-Hour Rescue & Strategy Call (£195) →↗Chat Directly on WhatsApp

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References: [1] OWASP Foundation ↗ [2] Stripe Documentation ↗ [3] Google Search Central ↗ [4] UK Information Commissioner’s Office (ICO) ↗