/how-to-build-lovable

How to build Loyalty program with Lovable?

Launch results-driven loyalty program with Lovable: practical setup steps, reward ideas, automation and analytics to grow retention, customer value

Matt Graham, CEO of Rapid Developers

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How to build Loyalty program with Lovable?

 

Yes — you can build a simple, secure loyalty program in Lovable by adding a small server-side API (inside your app), a Supabase table to store points, and a front-end Loyalty widget. Use Lovable Chat Mode to create files, the Lovable Cloud Secrets UI to store Supabase keys, Preview to test, and Publish (or GitHub sync) to deploy. Below are ready-to-paste Lovable prompts that will implement a points-award/read flow and a basic UI.

 

What we’re building / changing

 

  • A loyalty feature that tracks customer points in Supabase, exposes server-side API routes to read/award points, and a front-end LoyaltyWidget showing balance and an “Award points” button for testing.

 

Lovable-native approach

 

  • Chat Mode: paste the prompts below into Lovable’s chat—Lovable will create/edit files and show diffs.
  • Secrets UI: add SUPABASE_URL and SUPABASE_SERVICE_ROLE_KEY for server API calls.
  • Preview: use Preview to sign-in and exercise the widget and API.
  • Publish: use Publish to push changes live; if you need CLI tasks (DB migration), export to GitHub and run them externally.

 

Meta-prompts to paste into Lovable (paste each as a separate message)

 

Prompt A — Add Supabase client + types

  • Goal: Create a server-capable Supabase client and TypeScript types for loyalty rows.
  • Files to create: create src/lib/supabaseServer.ts and src/features/loyalty/types.ts
  • Acceptance criteria: files exist, supabaseServer exports a function getSupabaseService() that uses process.env.SUPABASE_URL and process.env.SUPABASE_SERVICE_ROLE_KEY; types include LoyaltyRow { id, user_id, points, updated_at }.
  • Secrets: remind user to set SUPABASE_URL and SUPABASE_SERVICE_ROLE_KEY in Lovable Cloud Secrets UI before Preview.
// create src/lib/supabaseServer.ts
// Use the server service key from Secrets
import { createClient } from '@supabase/supabase-js'

export function getSupabaseService() {
  const url = process.env.SUPABASE_URL!
  const key = process.env.SUPABASE_SERVICE_ROLE_KEY!
  return createClient(url, key)
}

// create src/features/loyalty/types.ts
export type LoyaltyRow = {
  id: string
  user_id: string
  points: number
  updated_at: string
}

 

Prompt B — Add server API routes

  • Goal: Add server endpoints to read and award points.
  • Files to create: create src/pages/api/loyalty/get.ts and src/pages/api/loyalty/award.ts (Next.js style API routes)
  • Acceptance criteria: GET returns current user points (reads from loyalty table by user\_id); POST {points} awards points (upserts row, returns new balance). Both use getSupabaseService() and require an authenticated user (check Authorization header / existing app auth pattern).
  • Secrets: uses SUPABASE_SERVICE_ROLE\_KEY so only set in Secrets UI — do not commit keys.
// create src/pages/api/loyalty/get.ts
import { getSupabaseService } from '../../lib/supabaseServer'
// // Expect the app to pass user id via Authorization header: "Bearer <user-id>" for Preview/testing
export default async function handler(req, res) {
  const supabase = getSupabaseService()
  const auth = req.headers.authorization || ''
  const user_id = auth.replace('Bearer ', '')
  if (!user_id) return res.status(401).json({ error: 'missing user' })
  const { data } = await supabase.from('loyalty').select('*').eq('user_id', user_id).single().maybeSingle()
  return res.json({ data })
}

// create src/pages/api/loyalty/award.ts
import { getSupabaseService } from '../../lib/supabaseServer'
export default async function handler(req, res) {
  if (req.method !== 'POST') return res.status(405).end()
  const supabase = getSupabaseService()
  const auth = req.headers.authorization || ''
  const user_id = auth.replace('Bearer ', '')
  if (!user_id) return res.status(401).json({ error: 'missing user' })
  const points = Number(req.body.points) || 0
  // upsert: increment existing or insert
  await supabase.rpc('increment_loyalty_points', { p_user_id: user_id, p_points: points }).catch(async () => {
    // fallback upsert if RPC not available
    const { data } = await supabase.from('loyalty').select('points').eq('user_id', user_id).single().maybeSingle()
    const newPoints = (data?.points || 0) + points
    await supabase.from('loyalty').upsert({ user_id, points: newPoints }).select()
    return res.json({ points: newPoints })
  })
  const { data: row } = await supabase.from('loyalty').select('*').eq('user_id', user_id).single()
  return res.json({ data: row })
}

 

Prompt C — Add front-end Loyalty widget and page

  • Goal: Add a small UI to view and award points.
  • Files to create/modify: create src/features/loyalty/LoyaltyWidget.tsx and create a page src/pages/loyalty.tsx that shows the widget.
  • Acceptance criteria: Widget fetches /api/loyalty/get and posts to /api/loyalty/award; shows balance and an "Award 10 pts" button; uses current user id from app auth or a test header fallback.
// create src/features/loyalty/LoyaltyWidget.tsx
import React, { useEffect, useState } from 'react'
export default function LoyaltyWidget() {
  const [points, setPoints] = useState<number | null>(null)
  const userId = window.localStorage.getItem('test_user_id') || 'test-user-1' // // replace with your auth
  async function fetchPoints() {
    const r = await fetch('/api/loyalty/get', { headers: { Authorization: `Bearer ${userId}` } })
    const j = await r.json()
    setPoints(j?.data?.points ?? 0)
  }
  useEffect(() => { fetchPoints() }, [])
  async function award() {
    await fetch('/api/loyalty/award', {
      method: 'POST',
      headers: { 'Content-Type': 'application/json', Authorization: `Bearer ${userId}` },
      body: JSON.stringify({ points: 10 })
    })
    fetchPoints()
  }
  return (
    <div>
      <p>Your points: {points ?? 'loading...'}</p>
      <button onClick={award}>Award 10 pts</button>
    </div>
  )
}

// create src/pages/loyalty.tsx
import React from 'react'
import LoyaltyWidget from '../features/loyalty/LoyaltyWidget'
export default function LoyaltyPage() {
  return <div><h1>Loyalty</h1><LoyaltyWidget/></div>
}

 

How to verify in Lovable Preview

 

  • Set Secrets: open Lovable Cloud Secrets UI and add SUPABASE_URL and SUPABASE_SERVICE_ROLE_KEY.
  • Open Preview: Sign in to your app (or set localStorage test_user_id) then load /loyalty in Preview.
  • Test: Click “Award 10 pts” and confirm balance increases and API responses return data.

 

How to Publish / re-publish

 

  • Publish: Use Lovable Publish button to deploy. Secrets remain in Lovable Cloud and are used by the published runtime.
  • If DB migrations needed: export to GitHub from Lovable and run migrations (Supabase SQL or functions) from your terminal — mark that step as outside Lovable (terminal required).

 

Common pitfalls in Lovable (and how to avoid them)

 

  • Missing Secrets: API will 500/401 — set SUPABASE_URL and SUPABASE_SERVICE_ROLE_KEY in Lovable Secrets UI before Preview.
  • Auth mismatch: Your app’s auth may not match the simple Authorization header used here — replace the user-id extraction with your app’s real server auth pattern inside the server API files.
  • DB schema: Create a Supabase table named loyalty with columns (id UUID, user_id text unique, points integer default 0, updated_at timestamp). Create that in Supabase Dashboard (outside Lovable) or via GitHub export.

 

Validity bar: All steps use Lovable-native features: Chat Mode file edits, Preview, Publish, and Secrets UI. Any SQL migrations or Supabase function creation must be done via Supabase dashboard or by exporting to GitHub and running CLI — I flagged those as outside Lovable where required.

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How to expire loyalty points with an admin worker

This prompt helps an AI assistant understand your setup and guide to build the feature

AI AI Prompt

How to add an idempotent partner webhook for loyalty credits

This prompt helps an AI assistant understand your setup and guide to build the feature

AI AI Prompt

How to implement atomic, idempotent points transfers

This prompt helps an AI assistant understand your setup and guide to build the feature

AI AI Prompt

Want to explore opportunities to work with us?

Connect with our team to unlock the full potential of no-code solutions with a no-commitment consultation!

Book a Free Consultation
Matt Graham, CEO of Rapid Developers

Book a call with an Expert

Starting a new venture? Need to upgrade your web app? RapidDev builds application with your growth in mind.

Book a free No-Code consultation

Best Practices for Building a Loyalty program with AI Code Generators

The short answer: build the loyalty program as small, auditable services (points ledger, rules engine, notifications) and use Lovable’s chat-first workflow to generate, review, and iterate code safely — always store credentials in Lovable Secrets, test with Preview, review diffs/patches, add unit tests, and promote to production via Publish or GitHub sync. Don’t treat AI-generated code as final — human review and secure configuration in Lovable are required.

 

Design & Architecture Practices

 

Keep components separate: ledger (transactions), rules (earn/burn logic), API layer, and integrations (payments, email, analytics). This reduces blast radius when changing AI-generated code.

  • Use an idempotent API so retries don’t double-credit users.
  • Store only non-secrets in repo; use Lovable Secrets for keys and DB connection strings.
  • Validate AI output in chat: run tests, inspect diffs, and patch errors with Chat Mode edits.

 

Lovable-specific workflow

 

Iterate in Chat Mode: ask the AI to generate minimal handlers, then request focused patches. Use file diffs to review exactly what changed before applying.

  • Use Preview to exercise endpoints and flows without publishing.
  • Configure Secrets in the Lovable UI (DB, API keys) rather than embedding them.
  • Publish from Lovable Cloud for staging, or sync to GitHub if you need CI pipelines and migrations.

 

Practical code example (serverless handler with Supabase)

 

// POST /api/award-points
// Receives { user_id, order_id, amount } and awards points
import { createClient } from '@supabase/supabase-js'
// Fetch keys from environment (set via Lovable Secrets UI)
const supabase = createClient(process.env.SUPABASE_URL, process.env.SUPABASE_KEY)

export default async function handler(req, res) {
  // Only allow POST
  if (req.method !== 'POST') return res.status(405).end()
  const { user_id, order_id, amount } = req.body
  // Basic validation
  if (!user_id || !order_id || !amount) return res.status(400).json({ error: 'missing' })

  // Idempotency: prevent double processing
  const { data: existing } = await supabase
    .from('loyalty_transactions')
    .select('id')
    .eq('order_id', order_id)
    .limit(1)

  if (existing && existing.length) return res.status(200).json({ status: 'already_processed' })

  // Simple points calc: 1 point per $1
  const points = Math.floor(amount)

  // Transaction-like sequence (simulate with row inserts; supabase supports RPC or pg transactions if needed)
  const { error } = await supabase.from('loyalty_transactions').insert([
    { user_id, order_id, amount, points, created_at: new Date() }
  ])

  if (error) return res.status(500).json({ error: error.message })

  // Update user's total
  const { error: upErr } = await supabase.rpc('increment_user_points', { p_user_id: user_id, p_points: points })
  if (upErr) return res.status(500).json({ error: upErr.message })

  return res.status(200).json({ status: 'ok', points })
}

 

Testing, Security & Ops

 

Test in Preview with mock secrets, then run integration tests. Use the Chat Mode to generate tests and ask for fixes.

  • Secrets: never paste keys into chat; set them in Lovable Secrets UI.
  • Audit AI edits: review diffs/patches strictly for logic & security issues (SQL injection, auth bypass).
  • Logging & monitoring: instrument events so you can detect crediting errors.
  • Gradual rollout: use feature flags and small cohorts before full publish.

 

Common pitfalls

 

  • Trusting generated code blindly — always run tests and review diffs.
  • Embedding secrets in code — Lovable Secrets exist for a reason.
  • Assuming local CLI parity — there’s no terminal in Lovable; use GitHub sync if you need migration scripts run by CI.

 

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