창업자와 제품 팀을 위해

AI, 데이터베이스, 로그인을 포함한 SaaS 앱 만들기

사용자와 워크플로를 설명하면 Marky가 실제 데이터와 프로덕션 경로를 갖춘 편집 가능한 풀스택 프로젝트로 만듭니다.

AI SaaS 앱 빌더 예시 이미지

핵심 답변

AI SaaS 앱 빌더란?

AI SaaS 앱 빌더은 작성한 요구사항을 편집 가능한 웹 앱으로 바꿉니다. Marky는 UI, 백엔드, 데이터베이스, 인증, 배포 설정을 한 프로젝트에 구성합니다.

실제 업무에 맞춘 설계

Marky가 구현할 수 있는 기능

These are functional product layers tied to the workflow—not decorative sections copied from a template.

01

Accounts and onboarding

Create registration, Google sign-in, first-run setup and authenticated routes around your product flow.

02

Product data that persists

Model users, workspaces and core records in Neon Postgres with typed Drizzle queries and migrations.

03

Backend APIs and business rules

Keep permissions, calculations, webhooks and private API calls in the Express and tRPC server layer.

04

Operator and customer views

Build the customer product alongside practical admin screens for support, content or operations.

05

AI-native product features

Add text, chat, image, video, speech or transcription features through the Easy-Peasy.AI API when the brief needs them.

06

A real launch path

Test a public preview, save a version, publish to Cloud Run and connect a domain when you approve the result.

권장 데이터 모델

첫 버전에 필요한 데이터

Users
Profiles, authentication identity and access state
Workspaces
Teams, ownership and multi-tenant product boundaries
Product records
The projects, documents, jobs or assets your SaaS manages
Plans and events
Entitlements, usage history and billing integration hooks

프롬프트 예시

추상적인 표현보다 구체적인 요구사항을 알려 주세요

Build a SaaS app for research teams. Users should sign in with Google, create a workspace, upload interview notes, tag findings and see an evidence dashboard. Add an admin view, a Neon Postgres schema, secure server APIs and a responsive onboarding flow.
이 내용으로 시작하기

실용적인 구축 순서

Marky로 만드는 방법

  1. 01

    Define the smallest valuable workflow

    Name the user, the problem and the one outcome the first release must complete.

  2. 02

    Model users and product data

    Marky drafts the database schema and API contracts before building the screens around them.

  3. 03

    Build and test the product loop

    The agent implements the UI, server logic and tests, then opens a live preview for review.

  4. 04

    Checkpoint, publish and keep iterating

    Approve a version for Cloud Run, connect GitHub or a domain, and request the next feature in chat.

공통 프로덕션 스택

표준 코드와 관리형 출시 경로

전체 기능 맵 보기

React + TypeScript

An editable frontend, not a proprietary page format.

Postgres + typed APIs

Persistent records and protected server-side logic.

Accounts + secrets

Authentication and protected credentials for integrations.

Built-in publishing targets Google Cloud Run. AWS services can be integrated through protected credentials, and the GitHub codebase can be adapted for an AWS deployment by a developer.

구체적인 질문

SaaS 앱 FAQ

Can Marky build a SaaS backend as well as the interface?

Yes. The full-stack scaffold includes an Express server, typed tRPC APIs, Drizzle database access and a managed Neon Postgres branch. Marky can implement server-side business rules instead of placing sensitive logic in the browser.

Can the SaaS app use Google sign-in?

Yes. The scaffold supports Google OAuth through Marky's centralized authentication proxy, alongside the project's Better Auth foundation. The exact account and onboarding experience is generated for the product you describe.

Can I add Stripe subscriptions?

Marky can build a Stripe integration when you provide the required Stripe credentials through project secrets. Payments are an external integration that should be tested in Stripe test mode before accepting real transactions.

Can I export the SaaS code?

Yes. Connect GitHub from project settings, create or link a repository, and push the current checkpoint. The generated application uses standard TypeScript, React and Node.js project files rather than a proprietary page format.

작동하는 첫 버전 만들기

워크플로부터 시작하면 Marky가 앱으로 구현해 드립니다.

Marky로 만들기