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 a Booking System with AI
The full path to a booking and reservation system — model resources, availability, and reservations, design the booking API, set customer accounts, wire calendar and notification integrations, design the UI, review security, then ship.
Overview
A booking system lives or dies on its availability logic, which makes it a different build from an ecommerce store or a marketplace. It isn't a catalog with a cart and checkout, and it isn't two-sided seller/buyer matching — its core is time: resources, the slots they're available in, the reservations that consume them, and the conflicts that must never happen (two bookings for the same slot). This project builds that system end to end: it frames the booking rules, models the resources/availability/slots/reservations, designs the booking API, sets customer accounts and access, wires the calendar, email, and webhook integrations a booking flow needs, designs the booking and admin UI, reviews the security and abuse risks, and prepares the release. It is deliberately not an ecommerce store (catalog/cart/checkout) and not a marketplace (matching) — it's operational scheduling and reservation state. NewPrompt designs the system and generates the prompts, schemas, and contracts for each stage; you run those in your own AI tool and own the implementation. It does not take bookings, hold a calendar, or run AI on its servers — it gives the build an availability model that prevents double-bookings by design instead of discovering them in production.
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.
-
Define the booking use case and rules
Frame what's being booked and the rules around it — durations, buffers, cancellation, who can book what — before modeling, so the availability logic reflects the real business instead of a generic calendar.
Outcome Booking requirements and the availability rules the system enforces.
Design
Design the right solution before building.
-
Model resources, availability, and reservations
Design the data the system runs on — the resources, their availability windows, the bookable slots, and the reservations that consume them — so the model prevents two bookings for the same slot by structure, not by luck.
Outcome A resources/availability/slots/reservations schema that prevents conflicts. -
Design the booking API
Design the API the booking flow runs on — check availability, hold a slot, confirm, cancel, reschedule — as a contract, so the UI and integrations develop against a stable, conflict-safe surface.
Outcome An API contract for checking availability and managing reservations. -
Define customer accounts and access
Decide how customers sign in and what they can do — view, book, reschedule, cancel their own reservations — so booking access is scoped correctly and an admin can manage the schedule.
Outcome Customer accounts and access rules for booking and management. -
Design the booking and admin UI
Design the component system the system is used through — the availability calendar, the booking flow, the admin schedule view — as reusable components, so the interface stays consistent as the system grows.
Outcome A component system for the booking flow and the admin schedule.
Build & Refine
Build, test, secure, and make it production-ready.
-
Wire calendar and notification integrations
Design the integrations a booking flow needs — calendar sync, confirmation and reminder emails, webhook events — with the retries and failure handling that keep a missed reminder from becoming a missed booking.
Outcome Calendar, notification, and webhook integration contracts with failure handling. -
Review security and abuse risks
Review the system the way an attacker would — account access, the booking API, and abuse like slot-hoarding or spam reservations — and back the findings with tests, before customers and their data are live.
Outcome Account access, the booking API, and abuse paths reviewed for vulnerabilities.
Ship & Validate
Ship with confidence and validate results.
-
Prepare the release
Cross from built to live — readiness checks, a deploy and rollback plan, and monitoring on bookings and integration health — so launch is deliberate and a broken reminder or double-booking is caught fast.
Outcome The booking system shipped with a rollback path and launch checks.
Expected outcome
A booking system designed end to end — a resources/availability/slots/reservations data model, a booking API, customer accounts, calendar and notification integrations, a booking and admin UI, a security and abuse review, and a release plan — so reservations run on real availability logic instead of a shared spreadsheet that double-books.
Best for
- Modeling resources, availability, slots, and reservations
- Booking flows that need calendar and notification integrations
- Scheduling systems that must prevent double-bookings by design
Not for
- A product catalog with cart and checkout — that's the Ecommerce Store project
- Two-sided seller/buyer matching — that's the Marketplace project
FAQ
How is this different from the Ecommerce Store project?
An ecommerce store models products, a cart, and checkout. This models time — resources, availability, slots, and reservations — and the booking logic that prevents conflicts. The data model and the journey are about scheduling, not buying.
How is this different from a Marketplace?
A marketplace matches two sides, buyers and sellers. This is a single operator's booking system: customers reserve the operator's resources in available slots. No two-sided matching, no seller onboarding — just availability and reservations.
Does NewPrompt take bookings?
No. NewPrompt designs the system and generates the prompts, schemas, and contracts. You run them in your own AI tool and build and operate the system yourself. NewPrompt does not hold a calendar, take reservations, or run AI.
How do I build a booking system with AI?
You build it in eight stages: frame the booking rules; model resources, availability, slots, and reservations; design the booking API; set customer accounts; wire calendar and notification integrations; design the UI; review security and abuse; ship. NewPrompt generates the prompts and schemas per stage; you run them in your own AI tool and connect the real calendar and email providers.
What booking rules do I need before building a booking system?
Before modeling, nail down durations, buffers between bookings, cancellation and reschedule windows, and who can book what. The first stage frames these rules so the availability logic reflects your real business, not a generic calendar. Get them wrong and the schema built next will enforce the wrong constraints, so this stage is where you decide how conflicts are prevented.
How do I handle time zones in a booking system?
Decide it at the data-model and API stages, not as an afterthought. Store reservations in a single canonical zone, and make the availability and booking API explicit about which zone slots are expressed in, so a customer booking across zones sees the right time. The blueprint plans this contract; you implement and test it against the real calendar you connect.
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 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 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 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 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.
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
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
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
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
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.
Resource
Security Code Review Prompt
Twelve security checks — injection, auth, secrets, SSRF, privilege escalation — reviewed the way an attacker would read the code.
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.
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
Role Prompt Generator
Generate expert role prompts — perspective, responsibilities, and decision criteria, not just "act as".
Tool
Markdown Output Builder
Build prompts that produce documents in a fixed structure — headings, sections, and tables.
Tool
Code Review Prompt Generator
Generate code review prompts for any scope — snippet, file, diff, or full pull request — with focused review rules.
Ways to Use This Project Path
Practical project ideas you can build from this base project path — each opens in the Project Advisor.
Recommended next project
Project
Build a Marketplace with AI
The full path to a two-sided platform — define the buyer-and-seller requirements, model the data, design the API, build roles and permissions, wire integrations, design the UI, then test, secure, and ship it.
Related projects
Project
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.
Project
Build a CRM with AI
The full path to a CRM that fits your sales process — define the contacts, deals, and pipeline, model the data that ties them together, then build the roles, integrations, and pipeline UI, and ship.
Project
Build an Applicant Tracking System with AI
The full path to an applicant tracking system — model jobs, candidates, and hiring stages, generate job descriptions and screening prompts, parse résumés into structured data, design the hiring API, set roles, review security, then ship.