Build this if
The brand can tag each product by concern, use period, sensitivity exclusions, and compatible routine step.
A quiz-led skincare shop that assembles an explainable morning and evening routine from the live catalog, then lets the shopper edit the kit before checkout.

Decision snapshot
The brand can tag each product by concern, use period, sensitivity exclusions, and compatible routine step.
The proposition depends on diagnosing skin conditions or recommending from an unstructured catalog.
Ask target shoppers to build and edit a complete routine, then measure whether they can explain each item and confidently reach checkout.
Problem and target customer
Shoppers can compare individual products but still struggle to choose compatible steps, apply them in the right order, and keep the total within budget.
Independent skincare brands with a small curated catalog and customers who need guided product selection rather than clinical advice.
Direct-to-consumer product sales
Editorial note
The routine builder is a merchandising tool, not a diagnostic engine. Its credibility comes from visible product attributes, explicit exclusions, and a shopper's ability to edit the recommendation.
The most useful beta signal is whether guided selection improves confidence before checkout. Replenishment, loyalty, and generated advice should wait until the catalog rules prove understandable.
Choose your next step
Evaluate the operating tradeoffs quickly, or inspect how to build the MVP.
Compare the three operating paths at the default workload before opening the full calculator.
See cost preview Build this ideaInspect the build blueprintReview MVP scope, workflow, states, data rules, architecture, and acceptance criteria.
Open blueprintEvaluation preview
Directional infrastructure estimates for the current 1,000 routine builds assumption. Open the full calculator when you are ready to change it.
Run the web app and Postgres as managed services with enough capacity for the initial routine builds.
Lowest operating effortOperate the app, database, and scheduled jobs on one small server with manual backups.
Lowest baseline costSeparate application and data capacity, add managed database backups, and retain room for a worker.
Most separation and controlBuild blueprint
Product goal
MVP scope
UX and user flow
Introduce the brand and let shoppers browse by concern or product type.
Collect the minimum answers needed by the matching rules.
Explain the ordered morning and evening steps and the reason for each selected product.
Show use, ingredients, cautions, size, price, and compatibility tags.
Confirm quantities and launch hosted payment.
Core entity outline
Defines a sellable skincare item and the tags used by the routine matcher.
Stores one shopper's answers and consent to save them.
Records a generated and shopper-edited set of ordered steps.
Places a selected product in a morning or evening sequence with a match explanation.
Tracks the Stripe Checkout result without storing card data.
Architecture and data flow
Serves catalog pages, quiz steps, routine results, cart, and saved order status.
Matches complete quiz answers to tagged products and produces ordered, explainable steps.
Stores products, compatibility tags, quiz answers, routine versions, and order references.
Creates Stripe Checkout sessions and verifies payment webhooks.
Deliverables and acceptance
Recommended stack
Supports fast catalog pages and an interactive multi-step quiz in one application.
Relates quiz answers, product tags, routine versions, and orders with enforceable constraints.
Keeps payment collection hosted and returns signed order events to the app.
Serves optimized product images without placing binary assets in the database.
A deterministic rules layer is easier for brand staff to audit than an LLM and keeps every recommendation grounded in maintained product attributes; hosted checkout narrows payment scope.
Copy the build prompt, model the operating cost, and choose where to deploy.
Execution
Once the blueprint is clear, use the prompt, cost model, and deployment options to start building.
Build prompt
Use Lovable to prototype the customer-facing quiz and editable routine because the key test is whether shoppers understand and trust the recommendation before checkout.
Build prompt
Open the prompt pack whenever you are ready to take this blueprint into your builder.
Build prompt ready
Copy the prompt into your builder, then use the cost model below to choose how you want to run it.
Use the cost model to choose a deployment path that matches the build plan.
Cost calculator
A technical run-cost estimate for the first production version. Team, acquisition, payment fees, and business COGS are excluded.
$10-$35 per 1,000 routine builds
Low and high values allow for usage variance and plan headroom.
Run the web app and Postgres as managed services with enough capacity for the initial routine builds.
5K routine builds included, then $5-$15 per 5K routine buildsThe estimate combines the selected infrastructure path, required operating modules, selected optional modules, and usage above included monthly allowances. Taxes and regional uplifts are excluded.
Deployment options
Choose based on operating preference, not only the headline price.
Deploy the quiz-led skincare storefront with managed runtime, Postgres, environment variables, and logs in one project.
Usage-based compute can become less predictable as traffic grows.
Run the app, worker, and database on one small Vultr VPS with Docker Compose and explicit backups.
The operator owns database maintenance, monitoring, and recovery drills.
Separate application, worker, data, storage, and backup responsibilities as the workload grows.
More components increase setup and operational work.
Start building
Build the concern quiz, routine results, product detail, editable kit, and checkout handoff with clear ingredient context.
Open Lovable 02AutomationNotify the brand about ordersUse Make as optional glue for order notifications or fulfillment handoff after Stripe confirms payment; keep routine matching inside the app.
Open Make 03DeployDeploy the routine storefrontHost the catalog, quiz rules, saved routines, checkout session creation, and order webhooks on Railway.
Open Railway