운영 및 지원 팀을 위해

스프레드시트를 팀에 맞는 내부 도구로 바꾸세요

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

AI 내부 도구 빌더 예시 이미지

핵심 답변

AI 내부 도구 빌더란?

AI 내부 도구 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

A schema for the real workflow

Turn spreadsheet columns, handoffs and statuses into relational records with clear ownership.

02

Practical CRUD interfaces

Create, review, update and archive records through forms, tables, filters and focused detail views.

03

Role-aware workspaces

Design different views and actions for operators, managers, reviewers or external participants.

04

Reports grounded in source data

Summarize operational records with real queries instead of decorative dashboard metrics.

05

Secure service connections

Use secrets for APIs such as email, SMS, AI, payments or cloud services without exposing keys in the client.

06

Versioned, portable code

Preview each change, roll back checkpoints, publish to Cloud Run and sync the repository to GitHub.

권장 데이터 모델

첫 버전에 필요한 데이터

Records
The orders, cases, assets or requests being managed
States
Workflow status, transitions and validation rules
Assignments
Owners, teams, queues and due dates
Activity log
Changes, comments, imports and integration events

프롬프트 예시

추상적인 표현보다 구체적인 요구사항을 알려 주세요

Build an inventory operations tool for a specialty retailer. Track items, warehouses, suppliers, stock movements and purchase orders. Add low-stock filters, receive-order actions, manager and operator views, CSV import, an audit trail and practical empty/error states.
이 내용으로 시작하기

실용적인 구축 순서

Marky로 만드는 방법

  1. 01

    Start with the current process

    Describe the spreadsheet, inbox or manual handoff and the failure it creates for the team.

  2. 02

    Model records and state changes

    Marky converts fields, permissions and transitions into a Postgres schema and typed APIs.

  3. 03

    Test with realistic edge cases

    Check empty states, invalid transitions, duplicate records, long values and integration failures.

  4. 04

    Roll out deliberately

    Approve the preview, publish it, add secrets and keep a checkpoint before every larger workflow change.

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

내부 도구 FAQ

Can Marky replace a spreadsheet workflow?

Often, yes—when the spreadsheet represents structured records and repeatable actions. Marky can model those records in Postgres and build validated forms, tables, filters and status changes. The original process still needs to be described accurately before it is automated.

Can an internal tool connect to our existing services?

Marky can integrate services that expose suitable APIs, webhooks or database connections. Credentials belong in project secrets, and each integration should include failure handling, permission boundaries and a clear source of truth.

Can different team roles have different actions?

Yes. Define the roles and allowed transitions in the brief so Marky can enforce them in server-side actions as well as in the interface. Hiding a button alone is not a sufficient permission control.

How do we recover if a change breaks the tool?

Successful previews create version checkpoints, and Marky can also save named checkpoints before risky changes. The project can be rolled back to an earlier working version; eligible published versions can also be restored to the live site.

작동하는 첫 버전 만들기

워크플로부터 시작하면 Marky가 앱으로 구현해 드립니다.

Marky로 만들기