Workflow
AI Product Requirements Workflow
Turn a fuzzy business need into requirements a team can build from — interrogate the need into concrete requirements, shape them as user stories, and write the PRD.
Build an E-commerce Store with AI
The full path to a store you own end to end — model the catalog and orders, design the storefront and checkout, add customer accounts and payments, then secure it, test it, and ship.
Overview
An e-commerce store and a marketplace look similar and are built differently. A marketplace is two-sided — sellers onboard, list, and get paid, and the platform sits in the middle. A store is single-vendor: you own the catalog, the customer buys, and the journey is catalog → cart → checkout → order, not seller-onboarding and payouts. This project builds the store. It models the products, variants, inventory, and orders that a catalog runs on, designs the API and the storefront around browsing and buying, adds customer accounts (and the store-owner's admin — not seller signup), wires the payment and fulfillment integrations a checkout depends on, then — because a store handles money and customer data — reviews security and locks behavior down with tests before shipping. It is deliberately a single-vendor store, not a marketplace, so every stage serves one owner selling to customers. Each stage connects to a NewPrompt workflow you can run on its own; together they carry a store from a product idea to a checkout that takes real orders. You own the products and the brand; the project keeps the catalog-to-order journey front and center.
The journey
Each stage runs a NewPrompt workflow, with a supporting resource and tool. Work them in order — the output of each stage feeds the next.
See the execution map →Define & Scope
Clarify what you're building and for whom.
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Define the store
Pin what the store sells and how customers buy it — the catalog, the variants, the cart-to-checkout flow, the order lifecycle — for a single vendor (you), not a platform onboarding other sellers.
Outcome Requirements for a single-vendor catalog, cart, checkout, and orders.
Design
Design the right solution before building.
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Model the catalog and orders
Design the data the store runs on — products and their variants, inventory, the cart, and the order with its line items and status. This is the model a single-vendor store lives in, with no seller dimension to complicate it.
Outcome A products/variants/inventory/cart/orders schema. -
Design the store API
Design the endpoints the storefront calls — browse the catalog, manage a cart, run checkout, place and track an order — as a contract before code, shaped to the buying flow.
Outcome An API contract for catalog, cart, checkout, and orders. -
Design the storefront
Design the components a customer shops through — product pages, the cart, the checkout flow — as a reusable system, so the storefront is coherent from listing to confirmation instead of a stack of one-off pages.
Outcome A component system for product pages, cart, and checkout.
Build & Refine
Build, test, secure, and make it production-ready.
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Add customer accounts
Build the access model a store needs — customer accounts for order history and saved details, and the store-owner's admin to manage the catalog and fulfill orders. Note what's absent: no seller onboarding, because there's one seller — you.
Outcome Customer accounts and store-owner admin (single-vendor, no seller signup). -
Wire payments and fulfillment
Connect the third parties a checkout depends on — the payment gateway, shipping, and order notifications — via webhooks and events, with the idempotency that keeps a payment or order event from being lost or double-charged.
Outcome Payment, shipping, and notification integrations wired reliably. -
Run a security review
A store handles payment flows and customer data — review the checkout, account, and order paths the way an attacker would, before real cards and real customers arrive.
Outcome The checkout, account, and order paths reviewed for vulnerabilities. -
Lock behavior down with tests
Build a test suite across the paths where a bug costs money — add to cart, apply a discount, run checkout, place an order, adjust inventory — so you can keep shipping without breaking a purchase someone is mid-way through.
Outcome Tests covering the cart, checkout, and order paths.
Ship & Validate
Ship with confidence and validate results.
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Ship the store
Cross from built to live — readiness checked, rollback planned, monitoring on the checkout and payment paths — because launching a store that takes money is exactly where a careful release earns its keep.
Outcome The store shipped with a rollback path and checkout monitoring. -
Validate the product with real evidence
A live store generates the only evidence that matters — real orders, conversion, returns. Measure them against the goal you set for the store, render a hit/partial/miss verdict, and decide whether to iterate, pivot, or scale before pouring in more inventory or ad spend.
Outcome The shipped outcome measured against its success signal, with an iterate, pivot, or scale decision documented.
Expected outcome
A single-vendor store that takes real orders — a catalog/inventory/order data model, a storefront and checkout API, customer accounts, payments and fulfillment wired in, and the money and data paths secured and tested before launch — a store you own end to end, not a two-sided marketplace.
Best for
- Building a store you own end to end, not a hosted template
- Modeling catalog and orders before the storefront
- Single-vendor commerce with customer accounts and payments
Not for
- A two-sided marketplace with many sellers — that is the Marketplace project
- Dropping a product into an existing hosted store
FAQ
Marketplace or store — which is this?
Single-vendor store: you sell your own catalog. For a two-sided platform with many sellers, buyers, and payouts, use the Marketplace project.
Does it include payments?
Yes — accounts and payments are a stage. The journey treats checkout and payments as design problems with a security review, not afterthoughts.
Is this a full custom build?
Yes — catalog and order data model, storefront, checkout, accounts, payments, and ship. AI accelerates each stage; you own the result.
What do I need before building an ecommerce store with AI?
You need a clear picture of what you're selling — your product list, variants, and real inventory — plus a chosen payment gateway and shipping provider account. The first stage models the catalog and orders, so knowing your products and how customers pay and receive them lets every later stage move fast.
What should an ecommerce store MVP include?
One clean catalog-to-order spine: browse products, add to cart, check out, place an order, and see it in customer accounts and store-owner admin. Wire real payments and fulfillment, run the security review on those money paths, cover them with tests, then ship. Discounts and promos wait until that spine holds.
Does NewPrompt handle payments, checkout, or PCI compliance for me?
No. NewPrompt's wire-payments stage helps you design the gateway and webhook integration with idempotency, and the security review probes your checkout and order paths — but you connect a real provider like Stripe in your own tools and own PCI scope, compliance, and every charge that runs.
Workflows in this project
Workflow
AI Database Design Workflow
Design a schema on its data, not a hunch — model the entities and relationships, set the constraints that protect integrity, plan indexes around real queries, then document the schema and migration.
Workflow
AI API Design Workflow
Design an API on its contract instead of discovering it endpoint by endpoint — model the resources, design the endpoints and payloads, pin the contract, then review it before code locks it in.
Workflow
AI UI & Component Design Workflow
Structure a UI so it stays consistent as it grows — inventory the screens, break them into reusable components, specify the component system and its rules, then review the structure for drift.
Workflow
AI Auth & Identity Workflow
Design access control before you build it, not after a breach — choose the authentication approach, model the roles and permissions, review the design for gaps, then document the identity model.
Workflow
AI Integration & Webhook Workflow
Connect systems so they don't break each other — map the integration boundaries, design the event and webhook contracts, plan retries and failure handling, then document the integration.
Workflow
AI Security Review Workflow
Review code for what an attacker would do, not just what tests catch — anchor the model as a security engineer, run a threat-focused review, then back the findings with auth and input tests.
Workflow
AI Test Generation Workflow
Build a test suite that fails for real reasons, not green decoration — coverage across unit, integration, and edge cases, then a review for the gaps.
Workflow
AI Deployment & Release Workflow
Cross the gap between 'tests pass' and 'safe in production' — assess release readiness, plan the deploy and its rollback, and set up the monitoring and launch checks before you ship, not after.
Workflow
AI Product Validation Workflow
Find out whether the thing you shipped actually worked — define the success metric, plan the measurement, classify the real evidence, then render a verdict and an iterate / pivot / scale decision.
Resources used in this project
Resource
Product Requirements Assistant
Turn a rough feature idea into a structured requirement: problem statement, acceptance criteria, and what's explicitly out of scope.
Resource
Missing Index Analysis — Which Indexes, at What Cost
Map every predicate, join, and sort to the index that serves it — or doesn't. Composite order rules, covering decisions, and the write tax nobody mentions.
Resource
API Review Checklist Prompt
Architecture review for the public surface: abstractions that earn their place, dependency direction, seams, and the patterns the codebase already has.
Resource
Software Engineer Role Prompt
Make AI act as a software engineer — design, implementation, and testing trade-offs — instead of a generic assistant that writes whatever you ask.
Resource
Authentication Strategy Prompt
Choose how users prove who they are — sessions vs tokens, passwords vs passwordless, SSO and MFA — decided on your real constraints, not the default tutorial.
Resource
Turn a JSON Schema into a Prompt
You have the schema — fields, types, requirements. The translation into a prompt the model actually follows: schema lines, realistic example, and validation rules.
Resource
Security Code Review Prompt
Twelve security checks — injection, auth, secrets, SSRF, privilege escalation — reviewed the way an attacker would read the code.
Resource
Unit Test Prompt — Isolation Done Right
Mock the dependencies, test the business logic, one behavior per test — the unit testing contract that bans plumbing tests.
Resource
Production Readiness Review Prompt
SHIP or DO NOT SHIP: twelve checks on failure modes, observability, rollback, and load — the review that happens before the incident.
Resource
Product Validation Report Prompt
Consolidate the whole validation into one shareable report — the success metric, the evidence, the hit / partial / miss verdict, and the iterate / pivot / scale decision, in a form the team and stakeholders can act on.
Resource
Schema Design & ERD Prompt — Entities, Relationships, and Keys
Turn product requirements and key entities into an ERD-ready schema spec: tables, fields, primary and foreign keys, relationships with cardinality, indexes, and constraints — with the modeling gaps named as open questions.
Resource
Design System Spec Prompt — Components, States, and Accessibility
Turn UI requirements and component needs into a design-system spec: a component inventory with states, variants, responsive behavior, accessibility requirements, microcopy rules, and developer handoff notes.
Tools used in this project
Tool
System Prompt Generator
Build structured system prompts from role, tone, constraints, and model target.
Tool
SQL Optimization Prompt
Build evidence-based SQL optimization prompts — goal, platform, and the evidence you have turn into a query tuning contract.
Tool
JSON Output Prompt Builder
Build prompts that return structured data — JSON first, with YAML, XML, and CSV modes — parseable every time.
Tool
Markdown Output Builder
Build prompts that produce documents in a fixed structure — headings, sections, and tables.
Tool
Role Prompt Generator
Generate expert role prompts — perspective, responsibilities, and decision criteria, not just "act as".
Tool
Multi-Step Prompt Builder
Break a big goal into a sequential prompt workflow — each step with an objective, prompt, and expected output.
Tool
Code Review Prompt Generator
Generate code review prompts for any scope — snippet, file, diff, or full pull request — with focused review rules.
Tool
Test Case Prompt Generator
Build test generation prompts — unit, integration, or E2E — with framework modes and edge-case coverage rules.
Ways to Use This Project Path
Practical project ideas you can build from this base project path — each opens in the Project Advisor.
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