适合创始人和产品团队

构建包含 AI、数据库和登录功能的 SaaS 应用

描述用户和工作流程，Marky 会将需求转化为可编辑的全栈项目，支持真实数据并可部署到生产环境。

使用 Marky 构建此项目全部网站功能

直接回答

什么是AI SaaS 应用构建器？

AI SaaS 应用构建器将书面需求转化为可编辑的 Web 应用。Marky 可在一个项目中创建界面、后端、数据库、身份验证和部署配置。

围绕真实任务构建

Marky 可以实现的功能

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

Accounts and onboarding

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

Product data that persists

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

Backend APIs and business rules

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

Operator and customer views

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

AI-native product features

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

A real launch path

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

建议的数据模型

首个版本可能需要的数据

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

提示词示例

向 Marky 提供具体需求，而不是空泛概念

“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.”

以此为起点

实用构建步骤

如何使用 Marky 构建

01
Define the smallest valuable workflow
Name the user, the problem and the one outcome the first release must complete.
02
Model users and product data
Marky drafts the database schema and API contracts before building the screens around them.
03
Build and test the product loop
The agent implements the UI, server logic and tests, then opens a live preview for review.
04
Checkpoint, publish and keep iterating
Approve a version for Cloud Run, connect GitHub or a domain, and request the next feature in chat.

通用生产技术栈

标准代码与托管上线流程

查看完整功能图谱

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.

具体问题

SaaS 应用常见问题

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.

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